diff --git a/.github/workflows/python-request.yml b/.github/workflows/python-request.yml index fd0c89d6..95bad2dc 100644 --- a/.github/workflows/python-request.yml +++ b/.github/workflows/python-request.yml @@ -1,7 +1,7 @@ # This workflow will install Python dependencies, run tests and lint with a variety of Python versions # For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions -name: Python on pull request +name: pytest Build on: pull_request: @@ -32,7 +32,7 @@ jobs: with: lfs: true - name: Set up pixi environment - uses: prefix-dev/setup-pixi@v0.9.1 + uses: prefix-dev/setup-pixi@v0.9.6 - name: Lint with flake8 run: | # stop the build if there are Python syntax errors or undefined names diff --git a/.github/workflows/sphinx-build.yml b/.github/workflows/sphinx-build.yml new file mode 100644 index 00000000..966a94a8 --- /dev/null +++ b/.github/workflows/sphinx-build.yml @@ -0,0 +1,39 @@ +name: "Sphinx Build" + +on: + pull_request: + paths: + - gravity_toolkit/** + - doc/** + - .github/workflows/sphinx-build.yml + types: [opened, synchronize, reopened, ready_for_review] + +# set permissions for the workflow +permissions: + contents: read + pull-requests: write + +jobs: + docs: + if: github.event.pull_request.draft == false + runs-on: ubuntu-latest + env: + SPHINXOPTS: "--fail-on-warning --fresh-env --keep-going --warning-file=sphinx.log" + defaults: + run: + shell: bash -l {0} + + steps: + - uses: actions/checkout@v6 + - name: Set up pixi environment + uses: prefix-dev/setup-pixi@v0.9.6 + - name: Compile Sphinx Documentation + run: | + # run a build of the documentation + pixi run --environment=dev docs + - name: Archive Sphinx Warnings + if: github.event.pull_request.head.repo.full_name == github.repository + uses: actions/upload-artifact@v6 + with: + name: sphinx-log + path: doc/sphinx.log diff --git a/README.md b/README.md new file mode 100644 index 00000000..925f89b6 --- /dev/null +++ b/README.md @@ -0,0 +1,184 @@ +# gravity-toolkit + +Python tools for obtaining and working with Level-2 spherical harmonic coefficients from the NASA/DLR Gravity Recovery and Climate Experiment (GRACE) and the NASA/GFZ Gravity Recovery and Climate Experiment Follow-On (GRACE-FO) missions + +## About + + + + + + + + + + + + + + + + + + + + + + +
Version: + + + +
Citation: + +
Tests: + + +
Data: + + +
License: + +
+ +For more information: see the documentation at [gravity-toolkit.readthedocs.io](https://gravity-toolkit.readthedocs.io/) + +## Installation + +From PyPI: + +```bash +python3 -m pip install gravity-toolkit +``` + +To include all optional dependencies: + +```bash +python3 -m pip install gravity-toolkit[all] +``` + +Using `conda` or `mamba` from conda-forge: + +```bash +conda install -c conda-forge gravity-toolkit +``` + +```bash +mamba install -c conda-forge gravity-toolkit +``` + +Development version from GitHub: + +```bash +python3 -m pip install git+https://github.com/tsutterley/gravity-toolkit.git +``` + +### Running with Pixi + +Alternatively, you can use [Pixi](https://pixi.sh/) for a streamlined workspace environment: + +1. Install Pixi following the [installation instructions](https://pixi.sh/latest/#installation) +2. Clone the project repository: + +```bash +git clone https://github.com/tsutterley/gravity-toolkit.git +``` + +3. Move into the `gravity-toolkit` directory + +```bash +cd gravity-toolkit +``` + +4. Install dependencies and start JupyterLab: + +```bash +pixi run start +``` + +This will automatically create the environment, install all dependencies, and launch JupyterLab in the [notebooks](./doc/source/notebooks/) directory. + +## Resources + +- [NASA GRACE mission site](https://www.nasa.gov/mission_pages/Grace/index.html) +- [NASA GRACE-FO mission site](https://www.nasa.gov/missions/grace-fo) +- [JPL GRACE Tellus site](https://grace.jpl.nasa.gov/) +- [JPL GRACE-FO site](https://gracefo.jpl.nasa.gov/) +- [UTCSR GRACE site](http://www.csr.utexas.edu/grace/) +- [GRACE at the NASA Physical Oceanography Distributed Active Archive Center (PO.DAAC)](https://podaac.jpl.nasa.gov/grace) +- [GRACE at the GFZ Information System and Data Center](http://isdc.gfz-potsdam.de/grace-isdc/) + +## Dependencies + +- [boto3: Amazon Web Services (AWS) SDK for Python](https://boto3.amazonaws.com/v1/documentation/api/latest/index.html) +- [future: Compatibility layer between Python 2 and Python 3](https://python-future.org/) +- [lxml: processing XML and HTML in Python](https://pypi.python.org/pypi/lxml) +- [matplotlib: Python 2D plotting library](https://matplotlib.org/) +- [netCDF4: Python interface to the netCDF C library](https://unidata.github.io/netcdf4-python/) +- [numpy: Scientific Computing Tools For Python](https://www.numpy.org) +- [platformdirs: Python module for determining platform-specific directories](https://pypi.org/project/platformdirs/) +- [python-dateutil: powerful extensions to datetime](https://dateutil.readthedocs.io/en/stable/) +- [PyYAML: YAML parser and emitter for Python](https://github.com/yaml/pyyaml) +- [scipy: Scientific Tools for Python](https://docs.scipy.org/doc/) + +## Download + +The program homepage is: + + +A zip archive of the latest version is available directly at: + + +## Disclaimer + +This package includes software developed at the University of California at Irvine (UCI), the NASA Jet Propulsion Laboratory (JPL), NASA Goddard Space Flight Center (GSFC) and the University of Washington Applied Physics Laboratory (UW-APL). +This program is not sponsored or maintained by the Universities Space Research Association (USRA), +the Center for Space Research at the University of Texas (UTCSR), the Jet Propulsion Laboratory (JPL), +the German Research Centre for Geosciences (GeoForschungsZentrum, GFZ) or NASA. +The software is provided here for your convenience but *with no guarantees whatsoever*. + +## Contributing + +This project contains work and contributions from the [scientific community](./CONTRIBUTORS.md). +If you would like to contribute to the project, please have a look at the [contribution guidelines](./doc/source/getting_started/Contributing.rst), [open issues](https://github.com/tsutterley/gravity-toolkit/issues) and [discussions board](https://github.com/tsutterley/gravity-toolkit/discussions). + +## References + +> T. C. Sutterley, I. Velicogna, and C.-W. Hsu, +> "Self-Consistent Ice Mass Balance and Regional Sea Level From Time-Variable Gravity", +> *Earth and Space Science*, 7, (2020). +> [doi: 10.1029/2019EA000860](https://doi.org/10.1029/2019EA000860) +> +> T. C. Sutterley and I. Velicogna, +> "Improved estimates of geocenter variability from time-variable gravity and ocean model outputs", +> *Remote Sensing*, 11(18), 2108, (2019). +> [doi: 10.3390/rs11182108](https://doi.org/10.3390/rs11182108) +> +> J. Wahr, S. C. Swenson, and I. Velicogna, +> "Accuracy of GRACE mass estimates", +> *Geophysical Research Letters*, 33(6), L06401, (2006). +> [doi: 10.1029/2005GL025305](https://doi.org/10.1029/2005GL025305) +> +> J. Wahr, M. Molenaar, and F. Bryan, +> "Time variability of the Earth's gravity field: Hydrological and oceanic effects and their possible > detection using GRACE", +> *Journal of Geophysical Research: Solid Earth*, 103(B12), (1998). +> [doi: 10.1029/98JB02844](https://doi.org/10.1029/98JB02844) +> +> D. Han and J. Wahr, +> "The viscoelastic relaxation of a realistically stratified earth, and a further analysis of postglacial rebound", +> *Geophysical Journal International*, 120(2), (1995). +> [doi: 10.1111/j.1365-246X.1995.tb01819.x](https://doi.org/10.1111/j.1365-246X.1995.tb01819.x) + +## Data Repositories + +> T. C. Sutterley, I. Velicogna, and C.-W. Hsu, +> "Ice Mass and Regional Sea Level Estimates from Time-Variable Gravity", (2020). +> [doi: 10.6084/m9.figshare.9702338](https://doi.org/10.6084/m9.figshare.9702338) +> +> T. C. Sutterley and I. Velicogna, +> "Geocenter Estimates from Time-Variable Gravity and Ocean Model Outputs", (2019). +> [doi: 10.6084/m9.figshare.7388540](https://doi.org/10.6084/m9.figshare.7388540) + +## License + +The content of this project is licensed under the [Creative Commons Attribution 4.0 Attribution license](https://creativecommons.org/licenses/by/4.0/) and the source code is licensed under the [MIT license](LICENSE). diff --git a/README.rst b/README.rst deleted file mode 100644 index 558ea905..00000000 --- a/README.rst +++ /dev/null @@ -1,114 +0,0 @@ -=============== -gravity-toolkit -=============== - -|License| -|Documentation Status| -|PyPI| -|conda-forge| -|commits-since| -|zenodo| - -.. |License| image:: https://img.shields.io/github/license/tsutterley/gravity-toolkit - :target: https://github.com/tsutterley/gravity-toolkit/blob/main/LICENSE - -.. |Documentation Status| image:: https://readthedocs.org/projects/gravity-toolkit/badge/?version=latest - :target: https://gravity-toolkit.readthedocs.io/en/latest/?badge=latest - -.. |PyPI| image:: https://img.shields.io/pypi/v/gravity-toolkit.svg - :target: https://pypi.python.org/pypi/gravity-toolkit/ - -.. |conda-forge| image:: https://img.shields.io/conda/vn/conda-forge/gravity-toolkit - :target: https://anaconda.org/conda-forge/gravity-toolkit - -.. |commits-since| image:: https://img.shields.io/github/commits-since/tsutterley/gravity-toolkit/latest - :target: https://github.com/tsutterley/gravity-toolkit/releases/latest - -.. |zenodo| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.5156864.svg - :target: https://doi.org/10.5281/zenodo.5156864 - -Python tools for obtaining and working with Level-2 spherical harmonic coefficients from the NASA/DLR Gravity Recovery and Climate Experiment (GRACE) and the NASA/GFZ Gravity Recovery and Climate Experiment Follow-On (GRACE-FO) missions - -Resources -######### - -- `NASA GRACE mission site `_ -- `NASA GRACE-FO mission site `_ -- `JPL GRACE Tellus site `_ -- `JPL GRACE-FO site `_ -- `UTCSR GRACE site `_ -- `GRACE at the NASA Physical Oceanography Distributed Active Archive Center (PO.DAAC) `_ -- `GRACE at the GFZ Information System and Data Center `_ - -Dependencies -############ - -- `numpy: Scientific Computing Tools For Python `_ -- `scipy: Scientific Tools for Python `_ -- `dateutil: powerful extensions to datetime `_ -- `PyYAML: YAML parser and emitter for Python `_ -- `lxml: processing XML and HTML in Python `_ -- `future: Compatibility layer between Python 2 and Python 3 `_ -- `matplotlib: Python 2D plotting library `_ -- `cartopy: Python package designed for geospatial data processing `_ -- `netCDF4: Python interface to the netCDF C library `_ -- `h5py: Python interface for Hierarchal Data Format 5 (HDF5) `_ -- `geoid-toolkit: Python utilities for calculating geoid heights from static gravity field coefficients `_ - -References -########## - - T. C. Sutterley, I. Velicogna, and C.-W. Hsu, "Self-Consistent Ice Mass Balance - and Regional Sea Level From Time-Variable Gravity", *Earth and Space Science*, 7, - (2020). `doi: 10.1029/2019EA000860 `_ - - T. C. Sutterley and I. Velicogna, "Improved estimates of geocenter variability - from time-variable gravity and ocean model outputs", *Remote Sensing*, 11(18), - 2108, (2019). `doi: 10.3390/rs11182108 `_ - - J. Wahr, S. C. Swenson, and I. Velicogna, "Accuracy of GRACE mass estimates", - *Geophysical Research Letters*, 33(6), L06401, (2006). - `doi: 10.1029/2005GL025305 `_ - - J. Wahr, M. Molenaar, and F. Bryan, "Time variability of the Earth's gravity - field: Hydrological and oceanic effects and their possible detection using - GRACE", *Journal of Geophysical Research: Solid Earth*, 103(B12), (1998). - `doi: 10.1029/98JB02844 `_ - - D. Han and J. Wahr, "The viscoelastic relaxation of a realistically stratified - earth, and a further analysis of postglacial rebound", *Geophysical Journal - International*, 120(2), (1995). - `doi: 10.1111/j.1365-246X.1995.tb01819.x `_ - -Data Repositories -################# - - T. C. Sutterley, I. Velicogna, and C.-W. Hsu, "Ice Mass and Regional Sea Level - Estimates from Time-Variable Gravity", (2020). - `doi: 10.6084/m9.figshare.9702338 `_ - - T. C. Sutterley and I. Velicogna, "Geocenter Estimates from Time-Variable - Gravity and Ocean Model Outputs", (2019). - `doi: 10.6084/m9.figshare.7388540 `_ - -Download -######## - -| The program homepage is: -| https://github.com/tsutterley/gravity-toolkit -| A zip archive of the latest version is available directly at: -| https://github.com/tsutterley/gravity-toolkit/archive/main.zip - -Disclaimer -########## - -This project contains work and contributions from the `scientific community <./CONTRIBUTORS.md>`_. -This program is not sponsored or maintained by the Universities Space Research Association (USRA), -the Center for Space Research at the University of Texas (UTCSR), the Jet Propulsion Laboratory (JPL), -the German Research Centre for Geosciences (GeoForschungsZentrum, GFZ) or NASA. -It is provided here for your convenience but *with no guarantees whatsoever*. - -License -####### - -The content of this project is licensed under the `Creative Commons Attribution 4.0 Attribution license `_ and the source code is licensed under the `MIT license `_. diff --git a/access/cnes_grace_sync.py b/access/cnes_grace_sync.py index 00232e12..38dc654c 100755 --- a/access/cnes_grace_sync.py +++ b/access/cnes_grace_sync.py @@ -293,7 +293,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # GRACE/GRACE-FO data release parser.add_argument('--release','-r', diff --git a/access/esa_costg_swarm_sync.py b/access/esa_costg_swarm_sync.py index 2f9a696e..07209153 100644 --- a/access/esa_costg_swarm_sync.py +++ b/access/esa_costg_swarm_sync.py @@ -221,7 +221,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # data release parser.add_argument('--release','-r', diff --git a/access/gfz_icgem_costg_ftp.py b/access/gfz_icgem_costg_ftp.py index 9b7b0e89..15e75880 100644 --- a/access/gfz_icgem_costg_ftp.py +++ b/access/gfz_icgem_costg_ftp.py @@ -230,7 +230,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # mission (GRACE, GRACE Follow-On or Swarm) choices = ['Grace','Grace-FO','Swarm'] diff --git a/access/gfz_isdc_dealiasing_sync.py b/access/gfz_isdc_dealiasing_sync.py index f51f9b78..32f23424 100644 --- a/access/gfz_isdc_dealiasing_sync.py +++ b/access/gfz_isdc_dealiasing_sync.py @@ -280,7 +280,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # GRACE/GRACE-FO data release parser.add_argument('--release','-r', diff --git a/access/gfz_isdc_grace_sync.py b/access/gfz_isdc_grace_sync.py index b641e5aa..f8f7e618 100644 --- a/access/gfz_isdc_grace_sync.py +++ b/access/gfz_isdc_grace_sync.py @@ -403,7 +403,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # GRACE/GRACE-FO processing center parser.add_argument('--center','-c', diff --git a/access/itsg_graz_grace_sync.py b/access/itsg_graz_grace_sync.py index c765a4cd..66dfa277 100755 --- a/access/itsg_graz_grace_sync.py +++ b/access/itsg_graz_grace_sync.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" itsg_graz_grace_sync.py -Written by Tyler Sutterley (05/2023) +Written by Tyler Sutterley (07/2026) Syncs GRACE/GRACE-FO and auxiliary data from the ITSG GRAZ server CALLING SEQUENCE: @@ -39,6 +39,7 @@ utilities.py: download and management utilities for syncing files UPDATE HISTORY: + Updated 07/2026: ITSG GRACE server moved from outgoing to pub Updated 05/2023: use pathlib to define and operate on paths Updated 12/2022: single implicit import of gravity toolkit Updated 11/2022: use f-strings for formatting verbose or ascii output @@ -82,7 +83,7 @@ def itsg_graz_grace_sync(DIRECTORY, RELEASE=None, LMAX=None, TIMEOUT=0, logging.basicConfig(level=logging.INFO) # ITSG GRAZ server - HOST = ['http://ftp.tugraz.at','outgoing','ITSG','GRACE'] + HOST = ['http://ftp.tugraz.at','pub','ITSG','GRACE'] # open connection with ITSG GRAZ server at remote directory release_directory = f'ITSG-{RELEASE}' # regular expression operators for ITSG data and models @@ -223,7 +224,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # ITSG GRAZ releases choices = ['Grace2014','Grace2016','Grace2018','Grace_operational'] diff --git a/access/podaac_cumulus.py b/access/podaac_cumulus.py index dcae0784..d448850a 100644 --- a/access/podaac_cumulus.py +++ b/access/podaac_cumulus.py @@ -399,7 +399,8 @@ def arguments(): help='Path to .netrc file for authentication') # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # GRACE/GRACE-FO processing center parser.add_argument('--center','-c', diff --git a/dealiasing/aod1b_geocenter.py b/dealiasing/aod1b_geocenter.py index f763322a..0d3e6399 100644 --- a/dealiasing/aod1b_geocenter.py +++ b/dealiasing/aod1b_geocenter.py @@ -259,7 +259,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # GRACE/GRACE-FO data release parser.add_argument('--release','-r', diff --git a/dealiasing/aod1b_oblateness.py b/dealiasing/aod1b_oblateness.py index 047d2cac..9c9313db 100644 --- a/dealiasing/aod1b_oblateness.py +++ b/dealiasing/aod1b_oblateness.py @@ -251,7 +251,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # GRACE/GRACE-FO data release parser.add_argument('--release','-r', diff --git a/dealiasing/dealiasing_global_uplift.py b/dealiasing/dealiasing_global_uplift.py index fd6fa239..3fc366fd 100644 --- a/dealiasing/dealiasing_global_uplift.py +++ b/dealiasing/dealiasing_global_uplift.py @@ -239,7 +239,7 @@ def dealiasing_global_uplift(base_dir, attributes['time']['standard_name'] = 'time' # Computing plms for converting to spatial domain - theta = (90.0 - grid.lat)*np.pi/180.0 + theta = np.radians(90.0 - grid.lat) PLM, dPLM = gravtk.plm_holmes(LMAX, np.cos(theta)) # for each tar file @@ -414,10 +414,12 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for spatial files') # GRACE/GRACE-FO data release parser.add_argument('--release','-r', diff --git a/dealiasing/dealiasing_monthly_mean.py b/dealiasing/dealiasing_monthly_mean.py index d5976757..e07b6a17 100755 --- a/dealiasing/dealiasing_monthly_mean.py +++ b/dealiasing/dealiasing_monthly_mean.py @@ -707,7 +707,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # Data processing center or satellite mission parser.add_argument('--center','-c', diff --git a/doc/source/_assets/geoid_height.svg b/doc/source/_assets/geoid_height.svg index d8cc9ee7..997e42da 100644 --- a/doc/source/_assets/geoid_height.svg +++ b/doc/source/_assets/geoid_height.svg @@ -60,7 +60,7 @@ Geoid `_ - Creates an index file for each data product diff --git a/doc/source/api_reference/access/esa_costg_swarm_sync.rst b/doc/source/api_reference/access/esa_costg_swarm_sync.rst index eef1663b..f2ac4918 100644 --- a/doc/source/api_reference/access/esa_costg_swarm_sync.rst +++ b/doc/source/api_reference/access/esa_costg_swarm_sync.rst @@ -1,6 +1,6 @@ -======================= -esa_costg_swarm_sync.py -======================= +=========================== +``esa_costg_swarm_sync.py`` +=========================== - Syncs Swarm gravity field products from the `ESA Swarm Science Server `_ - Creates an index file for each data product diff --git a/doc/source/api_reference/access/gfz_icgem_costg_ftp.rst b/doc/source/api_reference/access/gfz_icgem_costg_ftp.rst index 6dd2edaa..47bfb931 100644 --- a/doc/source/api_reference/access/gfz_icgem_costg_ftp.rst +++ b/doc/source/api_reference/access/gfz_icgem_costg_ftp.rst @@ -1,6 +1,6 @@ -====================== -gfz_icgem_costg_ftp.py -====================== +========================== +``gfz_icgem_costg_ftp.py`` +========================== - Syncs GRACE/GRACE-FO/Swarm COST-G data from the `GFZ International Centre for Global Earth Models (ICGEM) `_ - Creates an index file for each data product diff --git a/doc/source/api_reference/access/gfz_isdc_dealiasing_sync.rst b/doc/source/api_reference/access/gfz_isdc_dealiasing_sync.rst index da1867d6..dbcbe802 100644 --- a/doc/source/api_reference/access/gfz_isdc_dealiasing_sync.rst +++ b/doc/source/api_reference/access/gfz_isdc_dealiasing_sync.rst @@ -1,6 +1,6 @@ -=========================== -gfz_isdc_dealiasing_sync.py -=========================== +=============================== +``gfz_isdc_dealiasing_sync.py`` +=============================== - Syncs GRACE Level-1b dealiasing products from the `GFZ Information System and Data Center (ISDC) `_ - Optionally outputs as monthly tar files diff --git a/doc/source/api_reference/access/gfz_isdc_grace_sync.rst b/doc/source/api_reference/access/gfz_isdc_grace_sync.rst index 303391fa..ac1e543a 100644 --- a/doc/source/api_reference/access/gfz_isdc_grace_sync.rst +++ b/doc/source/api_reference/access/gfz_isdc_grace_sync.rst @@ -1,6 +1,6 @@ -====================== -gfz_isdc_grace_sync.py -====================== +========================== +``gfz_isdc_grace_sync.py`` +========================== - Syncs GRACE/GRACE-FO and auxiliary data from the `GFZ Information System and Data Center (ISDC) `_ - Syncs CSR/GFZ/JPL Level-2 spherical harmonic files diff --git a/doc/source/api_reference/access/itsg_graz_grace_sync.rst b/doc/source/api_reference/access/itsg_graz_grace_sync.rst index 65fcfd9a..fac46cb5 100644 --- a/doc/source/api_reference/access/itsg_graz_grace_sync.rst +++ b/doc/source/api_reference/access/itsg_graz_grace_sync.rst @@ -1,6 +1,6 @@ -======================= -itsg_graz_grace_sync.py -======================= +=========================== +``itsg_graz_grace_sync.py`` +=========================== - Syncs GRACE/GRACE-FO and auxiliary data from the `ITSG GRAZ server `_ - Creates an index file for each data product diff --git a/doc/source/api_reference/access/podaac_cumulus.rst b/doc/source/api_reference/access/podaac_cumulus.rst index 274b5f56..095abbb5 100644 --- a/doc/source/api_reference/access/podaac_cumulus.rst +++ b/doc/source/api_reference/access/podaac_cumulus.rst @@ -1,6 +1,6 @@ -================= -podaac_cumulus.py -================= +===================== +``podaac_cumulus.py`` +===================== - Syncs GRACE/GRACE-FO data from `NASA JPL PO.DAAC Cumulus AWS S3 bucket `_ - S3 Cumulus syncs are only available in AWS instances in ``us-west-2`` diff --git a/doc/source/api_reference/associated_legendre.rst b/doc/source/api_reference/associated_legendre.rst index d198e54e..d608c7ba 100644 --- a/doc/source/api_reference/associated_legendre.rst +++ b/doc/source/api_reference/associated_legendre.rst @@ -1,6 +1,6 @@ -=================== -associated_legendre -=================== +======================= +``associated_legendre`` +======================= - Computes fully-normalized associated Legendre Polynomials and their first derivative for a vector of ``x`` values diff --git a/doc/source/api_reference/clenshaw_summation.rst b/doc/source/api_reference/clenshaw_summation.rst index e6ff5c99..7acb2bf4 100644 --- a/doc/source/api_reference/clenshaw_summation.rst +++ b/doc/source/api_reference/clenshaw_summation.rst @@ -1,6 +1,6 @@ -================== -clenshaw_summation -================== +====================== +``clenshaw_summation`` +====================== - Returns the spatial field for a series of spherical harmonics at a sequence of ungridded points - Uses a Clenshaw summation to calculate the spherical harmonic summation diff --git a/doc/source/api_reference/dealiasing/aod1b_geocenter.rst b/doc/source/api_reference/dealiasing/aod1b_geocenter.rst index 14ca6606..ad215f02 100644 --- a/doc/source/api_reference/dealiasing/aod1b_geocenter.rst +++ b/doc/source/api_reference/dealiasing/aod1b_geocenter.rst @@ -1,6 +1,6 @@ -================== -aod1b_geocenter.py -================== +====================== +``aod1b_geocenter.py`` +====================== - Reads GRACE/GRACE-FO level-1b dealiasing data files for a specific product diff --git a/doc/source/api_reference/dealiasing/aod1b_oblateness.rst b/doc/source/api_reference/dealiasing/aod1b_oblateness.rst index 8fceda7d..69df766f 100644 --- a/doc/source/api_reference/dealiasing/aod1b_oblateness.rst +++ b/doc/source/api_reference/dealiasing/aod1b_oblateness.rst @@ -1,6 +1,6 @@ -=================== -aod1b_oblateness.py -=================== +======================= +``aod1b_oblateness.py`` +======================= - Reads GRACE/GRACE-FO level-1b dealiasing data files for a specific product diff --git a/doc/source/api_reference/dealiasing/dealiasing_global_uplift.rst b/doc/source/api_reference/dealiasing/dealiasing_global_uplift.rst index 0705b115..154e0444 100644 --- a/doc/source/api_reference/dealiasing/dealiasing_global_uplift.rst +++ b/doc/source/api_reference/dealiasing/dealiasing_global_uplift.rst @@ -1,6 +1,6 @@ -=========================== -dealiasing_global_uplift.py -=========================== +=============================== +``dealiasing_global_uplift.py`` +=============================== - Reads GRACE/GRACE-FO level-1b dealiasing data files for global atmospheric and oceanic loading and estimates anomalies in elastic crustal uplift :cite:p:`Davis:2004il,Wahr:1998hy` diff --git a/doc/source/api_reference/dealiasing/dealiasing_monthly_mean.rst b/doc/source/api_reference/dealiasing/dealiasing_monthly_mean.rst index ba27f356..0e68d36b 100644 --- a/doc/source/api_reference/dealiasing/dealiasing_monthly_mean.rst +++ b/doc/source/api_reference/dealiasing/dealiasing_monthly_mean.rst @@ -1,6 +1,6 @@ -========================== -dealiasing_monthly_mean.py -========================== +============================== +``dealiasing_monthly_mean.py`` +============================== - Reads GRACE/GRACE-FO level-1b dealiasing data files for a specific product and outputs monthly the mean for a specific GRACE/GRACE-FO processing center and data release diff --git a/doc/source/api_reference/degree_amplitude.rst b/doc/source/api_reference/degree_amplitude.rst index b041e0d2..aad8df00 100644 --- a/doc/source/api_reference/degree_amplitude.rst +++ b/doc/source/api_reference/degree_amplitude.rst @@ -1,6 +1,6 @@ -================ -degree_amplitude -================ +==================== +``degree_amplitude`` +==================== - Calculates the amplitude of each spherical harmonic degree diff --git a/doc/source/api_reference/destripe_harmonics.rst b/doc/source/api_reference/destripe_harmonics.rst index ce876194..ae5990d2 100644 --- a/doc/source/api_reference/destripe_harmonics.rst +++ b/doc/source/api_reference/destripe_harmonics.rst @@ -1,6 +1,6 @@ -================== -destripe_harmonics -================== +====================== +``destripe_harmonics`` +====================== - Filters spherical harmonic coefficients for correlated "striping" errors following :cite:t:`Swenson:2006hu` diff --git a/doc/source/api_reference/fourier_legendre.rst b/doc/source/api_reference/fourier_legendre.rst index 196f9849..d11a1823 100644 --- a/doc/source/api_reference/fourier_legendre.rst +++ b/doc/source/api_reference/fourier_legendre.rst @@ -1,6 +1,6 @@ -================ -fourier_legendre -================ +==================== +``fourier_legendre`` +==================== - Computes Fourier coefficients of the associated Legendre functions diff --git a/doc/source/api_reference/gauss_weights.rst b/doc/source/api_reference/gauss_weights.rst index e438a439..fab531a4 100644 --- a/doc/source/api_reference/gauss_weights.rst +++ b/doc/source/api_reference/gauss_weights.rst @@ -1,6 +1,6 @@ -============= -gauss_weights -============= +================= +``gauss_weights`` +================= - Computes the Gaussian weights as a function of degree - A normalized version of Christopher Jekeli's Gaussian averaging function diff --git a/doc/source/api_reference/gen_averaging_kernel.rst b/doc/source/api_reference/gen_averaging_kernel.rst index 13dde4e2..ccd33d06 100644 --- a/doc/source/api_reference/gen_averaging_kernel.rst +++ b/doc/source/api_reference/gen_averaging_kernel.rst @@ -1,6 +1,6 @@ -==================== -gen_averaging_kernel -==================== +======================== +``gen_averaging_kernel`` +======================== - Generates averaging kernel coefficients which minimize the total error diff --git a/doc/source/api_reference/gen_disc_load.rst b/doc/source/api_reference/gen_disc_load.rst index c801d298..72ee294f 100644 --- a/doc/source/api_reference/gen_disc_load.rst +++ b/doc/source/api_reference/gen_disc_load.rst @@ -1,6 +1,6 @@ -============= -gen_disc_load -============= +================= +``gen_disc_load`` +================= - Calculates gravitational spherical harmonic coefficients for a uniform disc load diff --git a/doc/source/api_reference/gen_harmonics.rst b/doc/source/api_reference/gen_harmonics.rst index 428def38..d0b619f3 100644 --- a/doc/source/api_reference/gen_harmonics.rst +++ b/doc/source/api_reference/gen_harmonics.rst @@ -1,6 +1,6 @@ -============= -gen_harmonics -============= +================= +``gen_harmonics`` +================= - Converts data from the spatial domain to spherical harmonic coefficients - Does not compute the solid Earth elastic response or convert units diff --git a/doc/source/api_reference/gen_point_load.rst b/doc/source/api_reference/gen_point_load.rst index b8679a50..74d0ce8c 100644 --- a/doc/source/api_reference/gen_point_load.rst +++ b/doc/source/api_reference/gen_point_load.rst @@ -1,6 +1,6 @@ -============== -gen_point_load -============== +================== +``gen_point_load`` +================== - Calculates gravitational spherical harmonic coefficients for point masses @@ -18,4 +18,4 @@ Calling Sequence .. autofunction:: gravity_toolkit.gen_point_load -.. autofunction:: gravity_toolkit.gen_point_load.spherical_harmonic_matrix +.. autofunction:: gravity_toolkit.gen_point_load._complex_harmonics diff --git a/doc/source/api_reference/gen_spherical_cap.rst b/doc/source/api_reference/gen_spherical_cap.rst index 069c0f28..e404f608 100644 --- a/doc/source/api_reference/gen_spherical_cap.rst +++ b/doc/source/api_reference/gen_spherical_cap.rst @@ -1,6 +1,6 @@ -================= -gen_spherical_cap -================= +===================== +``gen_spherical_cap`` +===================== - Calculates gravitational spherical harmonic coefficients for a spherical cap diff --git a/doc/source/api_reference/gen_stokes.rst b/doc/source/api_reference/gen_stokes.rst index 460b40fa..635eeab9 100644 --- a/doc/source/api_reference/gen_stokes.rst +++ b/doc/source/api_reference/gen_stokes.rst @@ -1,6 +1,6 @@ -========== -gen_stokes -========== +============== +``gen_stokes`` +============== - Converts data from the spatial domain to spherical harmonic coefficients diff --git a/doc/source/api_reference/geocenter.rst b/doc/source/api_reference/geocenter.rst index 5a3e5cb2..001c6fda 100644 --- a/doc/source/api_reference/geocenter.rst +++ b/doc/source/api_reference/geocenter.rst @@ -1,9 +1,15 @@ -========= -geocenter -========= +============= +``geocenter`` +============= Data class for reading and processing geocenter data + - Can read geocenter files from data providers + - Can merge a list of :py:class:`geocenter` objects into a single object + - Can subset to a list of GRACE/GRACE-FO months + - Can output :py:class:`geocenter` objects to ascii and netCDF4 files + + `Source code`__ .. __: https://github.com/tsutterley/gravity-toolkit/blob/main/gravity_toolkit/geocenter.py diff --git a/doc/source/api_reference/geocenter/calc_degree_one.rst b/doc/source/api_reference/geocenter/calc_degree_one.rst index 0692a5d9..9d382047 100644 --- a/doc/source/api_reference/geocenter/calc_degree_one.rst +++ b/doc/source/api_reference/geocenter/calc_degree_one.rst @@ -1,6 +1,6 @@ -================== -calc_degree_one.py -================== +====================== +``calc_degree_one.py`` +====================== - Calculates degree 1 variations using GRACE/GRACE-FO coefficients of degree 2 and greater, and modeled ocean bottom pressure variations :cite:p:`Swenson:2008cr,Sutterley:2019bx`. diff --git a/doc/source/api_reference/geocenter/monte_carlo_degree_one.rst b/doc/source/api_reference/geocenter/monte_carlo_degree_one.rst index 17810600..951eefac 100644 --- a/doc/source/api_reference/geocenter/monte_carlo_degree_one.rst +++ b/doc/source/api_reference/geocenter/monte_carlo_degree_one.rst @@ -1,6 +1,6 @@ -========================= -monte_carlo_degree_one.py -========================= +============================= +``monte_carlo_degree_one.py`` +============================= - Estimates uncertainties in degree 1 using GRACE/GRACE-FO coefficients of degree 2 and greater, and modeled ocean bottom pressure variations in a Monte Carlo scheme :cite:p:`Swenson:2008cr,Sutterley:2019bx`. - Calculates the estimated spherical harmonic errors following :cite:t:`Wahr:2006bx` diff --git a/doc/source/api_reference/grace_date.rst b/doc/source/api_reference/grace_date.rst index e4c846ca..3cb7f773 100644 --- a/doc/source/api_reference/grace_date.rst +++ b/doc/source/api_reference/grace_date.rst @@ -1,6 +1,6 @@ -========== -grace_date -========== +============== +``grace_date`` +============== - Reads GRACE/GRACE-FO index file from `podaac_cumulus.py` or `gfz_isdc_grace_ftp.py` - Parses dates of each GRACE/GRACE-FO file and assigns the month number diff --git a/doc/source/api_reference/grace_find_months.rst b/doc/source/api_reference/grace_find_months.rst index 28baf31c..8bbd568d 100644 --- a/doc/source/api_reference/grace_find_months.rst +++ b/doc/source/api_reference/grace_find_months.rst @@ -1,6 +1,6 @@ -================= -grace_find_months -================= +===================== +``grace_find_months`` +===================== - Finds the months available for a GRACE/GRACE-FO/Swarm product - Finds the all months missing from the product diff --git a/doc/source/api_reference/grace_input_months.rst b/doc/source/api_reference/grace_input_months.rst index e168253b..89206109 100644 --- a/doc/source/api_reference/grace_input_months.rst +++ b/doc/source/api_reference/grace_input_months.rst @@ -1,6 +1,6 @@ -================== -grace_input_months -================== +====================== +``grace_input_months`` +====================== - Reads GRACE/GRACE-FO/Swarm files for a specified spherical harmonic degree and order and for a specified date range diff --git a/doc/source/api_reference/grace_months_index.rst b/doc/source/api_reference/grace_months_index.rst index f39478d8..3f2ca68d 100644 --- a/doc/source/api_reference/grace_months_index.rst +++ b/doc/source/api_reference/grace_months_index.rst @@ -1,6 +1,6 @@ -================== -grace_months_index -================== +====================== +``grace_months_index`` +====================== - Creates an index of dates for all GRACE/GRACE-FO processing centers diff --git a/doc/source/api_reference/harmonic_gradients.rst b/doc/source/api_reference/harmonic_gradients.rst index 59bcf431..711ba520 100644 --- a/doc/source/api_reference/harmonic_gradients.rst +++ b/doc/source/api_reference/harmonic_gradients.rst @@ -1,6 +1,6 @@ -================== -harmonic_gradients -================== +====================== +``harmonic_gradients`` +====================== - Calculates the zonal and meridional gradients of a scalar field from a series of spherical harmonics diff --git a/doc/source/api_reference/harmonic_summation.rst b/doc/source/api_reference/harmonic_summation.rst index 317483fc..7a70b1f4 100644 --- a/doc/source/api_reference/harmonic_summation.rst +++ b/doc/source/api_reference/harmonic_summation.rst @@ -1,6 +1,6 @@ -================== -harmonic_summation -================== +====================== +``harmonic_summation`` +====================== - Returns the spatial field for a series of spherical harmonics diff --git a/doc/source/api_reference/harmonics.rst b/doc/source/api_reference/harmonics.rst index ed10f90c..ae152401 100644 --- a/doc/source/api_reference/harmonics.rst +++ b/doc/source/api_reference/harmonics.rst @@ -1,16 +1,16 @@ -========= -harmonics -========= +============= +``harmonics`` +============= Spherical harmonic data class for processing GRACE/GRACE-FO Level-2 data - Can read ascii, netCDF4, HDF5 files - Can read from an index of the above file types - - Can merge a list of ``harmonics`` objects into a single object + - Can merge a list of :py:class:`harmonics` objects into a single object - Can subset to a list of GRACE/GRACE-FO months - - Can calculate the mean field of a ``harmonics`` object - - Can filter ``harmonics`` for correlated "striping" errors - - Can output ``harmonics`` objects to ascii, netCDF4 or HDF5 files + - Can calculate the mean field of a :py:class:`harmonics` object + - Can filter :py:class:`harmonics` for correlated "striping" errors + - Can output :py:class:`harmonics` objects to ascii, netCDF4 or HDF5 files Calling Sequence ================ diff --git a/doc/source/api_reference/legendre.rst b/doc/source/api_reference/legendre.rst index 011fd089..4736c781 100644 --- a/doc/source/api_reference/legendre.rst +++ b/doc/source/api_reference/legendre.rst @@ -1,6 +1,6 @@ -======== -legendre -======== +============ +``legendre`` +============ - Computes associated Legendre functions of degree ``l`` evaluated for elements ``x`` - ``l`` must be a scalar integer and ``x`` must contain real values ranging -1 <= ``x`` <= 1 diff --git a/doc/source/api_reference/legendre_polynomials.rst b/doc/source/api_reference/legendre_polynomials.rst index 6fda4075..a62f495a 100644 --- a/doc/source/api_reference/legendre_polynomials.rst +++ b/doc/source/api_reference/legendre_polynomials.rst @@ -1,6 +1,6 @@ -==================== -legendre_polynomials -==================== +======================== +``legendre_polynomials`` +======================== - Computes fully-normalized Legendre polynomials for an array of ``x`` values and their first derivative - Calculates Legendre polynomials for zonal harmonics (order 0) diff --git a/doc/source/api_reference/mapping/plot_AIS_GrIS_maps.rst b/doc/source/api_reference/mapping/plot_AIS_GrIS_maps.rst index 7d8e0028..a51e0363 100644 --- a/doc/source/api_reference/mapping/plot_AIS_GrIS_maps.rst +++ b/doc/source/api_reference/mapping/plot_AIS_GrIS_maps.rst @@ -1,6 +1,6 @@ -===================== -plot_AIS_GrIS_maps.py -===================== +========================= +``plot_AIS_GrIS_maps.py`` +========================= - Creates GMT-like plots for the Greenland and Antarctic ice sheets diff --git a/doc/source/api_reference/mapping/plot_AIS_grid_3maps.rst b/doc/source/api_reference/mapping/plot_AIS_grid_3maps.rst index 47968ade..6c1d4e22 100644 --- a/doc/source/api_reference/mapping/plot_AIS_grid_3maps.rst +++ b/doc/source/api_reference/mapping/plot_AIS_grid_3maps.rst @@ -1,6 +1,6 @@ -====================== -plot_AIS_grid_3maps.py -====================== +========================== +``plot_AIS_grid_3maps.py`` +========================== - Creates 3 GMT-like plots for the Antarctic Ice Sheet on a polar stereographic south (3031) projection diff --git a/doc/source/api_reference/mapping/plot_AIS_grid_4maps.rst b/doc/source/api_reference/mapping/plot_AIS_grid_4maps.rst index 41b45f43..b6f6d3d6 100644 --- a/doc/source/api_reference/mapping/plot_AIS_grid_4maps.rst +++ b/doc/source/api_reference/mapping/plot_AIS_grid_4maps.rst @@ -1,6 +1,6 @@ -====================== -plot_AIS_grid_4maps.py -====================== +========================== +``plot_AIS_grid_4maps.py`` +========================== - Creates 4 GMT-like plots for the Antarctic Ice Sheet on a polar stereographic south (3031) projection diff --git a/doc/source/api_reference/mapping/plot_AIS_grid_maps.rst b/doc/source/api_reference/mapping/plot_AIS_grid_maps.rst index 6eba7179..7773f2c9 100644 --- a/doc/source/api_reference/mapping/plot_AIS_grid_maps.rst +++ b/doc/source/api_reference/mapping/plot_AIS_grid_maps.rst @@ -1,6 +1,6 @@ -===================== -plot_AIS_grid_maps.py -===================== +========================= +``plot_AIS_grid_maps.py`` +========================= - Creates GMT-like plots for the Antarctic Ice Sheet on a polar stereographic south (3031) projection diff --git a/doc/source/api_reference/mapping/plot_AIS_grid_movie.rst b/doc/source/api_reference/mapping/plot_AIS_grid_movie.rst index 83d41c15..e252b75d 100644 --- a/doc/source/api_reference/mapping/plot_AIS_grid_movie.rst +++ b/doc/source/api_reference/mapping/plot_AIS_grid_movie.rst @@ -1,6 +1,6 @@ -====================== -plot_AIS_grid_movie.py -====================== +========================== +``plot_AIS_grid_movie.py`` +========================== - Creates GMT-like anomations for the Antarctic Ice Sheet on a polar stereographic south (3031) projection diff --git a/doc/source/api_reference/mapping/plot_AIS_regional_maps.rst b/doc/source/api_reference/mapping/plot_AIS_regional_maps.rst index 2ecbceef..ca754533 100644 --- a/doc/source/api_reference/mapping/plot_AIS_regional_maps.rst +++ b/doc/source/api_reference/mapping/plot_AIS_regional_maps.rst @@ -1,6 +1,6 @@ -========================= -plot_AIS_regional_maps.py -========================= +============================= +``plot_AIS_regional_maps.py`` +============================= - Creates GMT-like plots for sub-regions of Antarctica on a polar stereographic south (3031) projection diff --git a/doc/source/api_reference/mapping/plot_AIS_regional_movie.rst b/doc/source/api_reference/mapping/plot_AIS_regional_movie.rst index 39ed1b42..bb6ca333 100644 --- a/doc/source/api_reference/mapping/plot_AIS_regional_movie.rst +++ b/doc/source/api_reference/mapping/plot_AIS_regional_movie.rst @@ -1,6 +1,6 @@ -========================== -plot_AIS_regional_movie.py -========================== +============================== +``plot_AIS_regional_movie.py`` +============================== - Creates GMT-like animations for sub-regions of Antarctica on a polar stereographic south (3031) projection diff --git a/doc/source/api_reference/mapping/plot_GrIS_grid_3maps.rst b/doc/source/api_reference/mapping/plot_GrIS_grid_3maps.rst index 729bf1c5..072ea029 100644 --- a/doc/source/api_reference/mapping/plot_GrIS_grid_3maps.rst +++ b/doc/source/api_reference/mapping/plot_GrIS_grid_3maps.rst @@ -1,6 +1,6 @@ -======================= -plot_GrIS_grid_3maps.py -======================= +=========================== +``plot_GrIS_grid_3maps.py`` +=========================== - Creates 3 GMT-like plots for the Greenland Ice Sheet on a NSIDC polar stereographic north (3413) projection diff --git a/doc/source/api_reference/mapping/plot_GrIS_grid_5maps.rst b/doc/source/api_reference/mapping/plot_GrIS_grid_5maps.rst index 6760dd29..44a09956 100644 --- a/doc/source/api_reference/mapping/plot_GrIS_grid_5maps.rst +++ b/doc/source/api_reference/mapping/plot_GrIS_grid_5maps.rst @@ -1,6 +1,6 @@ -======================= -plot_GrIS_grid_5maps.py -======================= +=========================== +``plot_GrIS_grid_5maps.py`` +=========================== - Creates 5 GMT-like plots for the Greenland Ice Sheet on a NSIDC polar stereographic north (3413) projection diff --git a/doc/source/api_reference/mapping/plot_GrIS_grid_maps.rst b/doc/source/api_reference/mapping/plot_GrIS_grid_maps.rst index 7103e776..94630749 100644 --- a/doc/source/api_reference/mapping/plot_GrIS_grid_maps.rst +++ b/doc/source/api_reference/mapping/plot_GrIS_grid_maps.rst @@ -1,6 +1,6 @@ -====================== -plot_GrIS_grid_maps.py -====================== +========================== +``plot_GrIS_grid_maps.py`` +========================== - Creates GMT-like plots for the Greenland Ice Sheet on a NSIDC polar stereographic north (3413) projection diff --git a/doc/source/api_reference/mapping/plot_GrIS_grid_movie.rst b/doc/source/api_reference/mapping/plot_GrIS_grid_movie.rst index c93ffb24..3294fe46 100644 --- a/doc/source/api_reference/mapping/plot_GrIS_grid_movie.rst +++ b/doc/source/api_reference/mapping/plot_GrIS_grid_movie.rst @@ -1,6 +1,6 @@ -======================= -plot_GrIS_grid_movie.py -======================= +=========================== +``plot_GrIS_grid_movie.py`` +=========================== - Creates GMT-like animations for the Greenland Ice Sheet on a NSIDC polar stereographic north (3413) projection diff --git a/doc/source/api_reference/mapping/plot_global_grid_3maps.rst b/doc/source/api_reference/mapping/plot_global_grid_3maps.rst index 9f01781a..d88a092b 100644 --- a/doc/source/api_reference/mapping/plot_global_grid_3maps.rst +++ b/doc/source/api_reference/mapping/plot_global_grid_3maps.rst @@ -1,6 +1,6 @@ -========================= -plot_global_grid_3maps.py -========================= +============================= +``plot_global_grid_3maps.py`` +============================= - Creates 3 GMT-like plots on a global Plate Carr\ |eacute|\e (Equirectangular) projection diff --git a/doc/source/api_reference/mapping/plot_global_grid_4maps.rst b/doc/source/api_reference/mapping/plot_global_grid_4maps.rst index 556d6f98..c93f94e3 100644 --- a/doc/source/api_reference/mapping/plot_global_grid_4maps.rst +++ b/doc/source/api_reference/mapping/plot_global_grid_4maps.rst @@ -1,6 +1,6 @@ -========================= -plot_global_grid_4maps.py -========================= +============================= +``plot_global_grid_4maps.py`` +============================= - Creates 4 GMT-like plots on a global Plate Carr\ |eacute|\e (Equirectangular) projection diff --git a/doc/source/api_reference/mapping/plot_global_grid_5maps.rst b/doc/source/api_reference/mapping/plot_global_grid_5maps.rst index b0538d79..602d5d4b 100644 --- a/doc/source/api_reference/mapping/plot_global_grid_5maps.rst +++ b/doc/source/api_reference/mapping/plot_global_grid_5maps.rst @@ -1,6 +1,6 @@ -========================= -plot_global_grid_5maps.py -========================= +============================= +``plot_global_grid_5maps.py`` +============================= - Creates 5 GMT-like plots on a global Plate Carr\ |eacute|\e (Equirectangular) projection diff --git a/doc/source/api_reference/mapping/plot_global_grid_9maps.rst b/doc/source/api_reference/mapping/plot_global_grid_9maps.rst index 1b8c55cb..36ebc1ed 100644 --- a/doc/source/api_reference/mapping/plot_global_grid_9maps.rst +++ b/doc/source/api_reference/mapping/plot_global_grid_9maps.rst @@ -1,6 +1,6 @@ -========================= -plot_global_grid_9maps.py -========================= +============================= +``plot_global_grid_9maps.py`` +============================= - Creates 9 GMT-like plots on a global Plate Carr\ |eacute|\e (Equirectangular) projection diff --git a/doc/source/api_reference/mapping/plot_global_grid_maps.rst b/doc/source/api_reference/mapping/plot_global_grid_maps.rst index a2286b4b..97217872 100644 --- a/doc/source/api_reference/mapping/plot_global_grid_maps.rst +++ b/doc/source/api_reference/mapping/plot_global_grid_maps.rst @@ -1,6 +1,6 @@ -======================== -plot_global_grid_maps.py -======================== +============================ +``plot_global_grid_maps.py`` +============================ - Creates GMT-like plots on a global Plate Carr\ |eacute|\e (Equirectangular) projection diff --git a/doc/source/api_reference/mapping/plot_global_grid_movie.rst b/doc/source/api_reference/mapping/plot_global_grid_movie.rst index a8818f5b..9d9af07f 100644 --- a/doc/source/api_reference/mapping/plot_global_grid_movie.rst +++ b/doc/source/api_reference/mapping/plot_global_grid_movie.rst @@ -1,6 +1,6 @@ -========================= -plot_global_grid_movie.py -========================= +============================= +``plot_global_grid_movie.py`` +============================= - Creates GMT-like animations on a global Plate Carr\ |eacute|\e (Equirectangular) projection diff --git a/doc/source/api_reference/mascons.rst b/doc/source/api_reference/mascons.rst index 1b10d56b..fa08aa9a 100644 --- a/doc/source/api_reference/mascons.rst +++ b/doc/source/api_reference/mascons.rst @@ -1,6 +1,6 @@ -======= -mascons -======= +=========== +``mascons`` +=========== Conversion routines for publicly available GRACE/GRACE-FO mascon solutions diff --git a/doc/source/api_reference/ocean_stokes.rst b/doc/source/api_reference/ocean_stokes.rst index 4c84ce82..14226181 100644 --- a/doc/source/api_reference/ocean_stokes.rst +++ b/doc/source/api_reference/ocean_stokes.rst @@ -1,6 +1,6 @@ -============ -ocean_stokes -============ +================ +``ocean_stokes`` +================ - Reads a land-sea mask and converts to a series of spherical harmonics - `netCDF4 land-sea mask files `_ from :cite:p:`Sutterley:2020js` diff --git a/doc/source/api_reference/read_GIA_model.rst b/doc/source/api_reference/read_GIA_model.rst index 31245941..d245141c 100755 --- a/doc/source/api_reference/read_GIA_model.rst +++ b/doc/source/api_reference/read_GIA_model.rst @@ -1,6 +1,6 @@ -============== -read_GIA_model -============== +================== +``read_GIA_model`` +================== - Reads Glacial Isostatic Adjustment (GIA) files for given modeling group formats - Outputs spherical harmonics for the GIA rates and the GIA model parameters diff --git a/doc/source/api_reference/read_GRACE_harmonics.rst b/doc/source/api_reference/read_GRACE_harmonics.rst index 4be343c8..1d4b026d 100644 --- a/doc/source/api_reference/read_GRACE_harmonics.rst +++ b/doc/source/api_reference/read_GRACE_harmonics.rst @@ -1,6 +1,6 @@ -==================== -read_GRACE_harmonics -==================== +======================== +``read_GRACE_harmonics`` +======================== - Reads GRACE/GRACE-FO files and extracts spherical harmonic data and drift rates (RL04) - Adds drift rates to clm and slm for Release-4 harmonics diff --git a/doc/source/api_reference/read_SLR_harmonics.rst b/doc/source/api_reference/read_SLR_harmonics.rst index d3802bad..d979f094 100644 --- a/doc/source/api_reference/read_SLR_harmonics.rst +++ b/doc/source/api_reference/read_SLR_harmonics.rst @@ -1,6 +1,6 @@ -================== -read_SLR_harmonics -================== +====================== +``read_SLR_harmonics`` +====================== - Reads 5\ |times|\ 5 spherical harmonic coefficients with 1 coefficient from degree 6 all calculated from satellite laser ranging (SLR) measurements - Calculated by the University of Texas Center for Space Research (CSR) and NASA Goddard Space Flight Center (GSFC) diff --git a/doc/source/api_reference/read_gfc_harmonics.rst b/doc/source/api_reference/read_gfc_harmonics.rst index 297bbc14..fef77560 100644 --- a/doc/source/api_reference/read_gfc_harmonics.rst +++ b/doc/source/api_reference/read_gfc_harmonics.rst @@ -1,6 +1,6 @@ -================== -read_gfc_harmonics -================== +====================== +``read_gfc_harmonics`` +====================== - Reads gfc files and extracts spherical harmonics for Swarm and GRAZ GRACE/GRACE-FO data - Parses date of GRACE/GRACE-FO data from filename diff --git a/doc/source/api_reference/read_love_numbers.rst b/doc/source/api_reference/read_love_numbers.rst index a087a6c9..712bdea0 100644 --- a/doc/source/api_reference/read_love_numbers.rst +++ b/doc/source/api_reference/read_love_numbers.rst @@ -1,6 +1,6 @@ -================= -read_love_numbers -================= +===================== +``read_love_numbers`` +===================== - Reads sets of load Love/Shida numbers computed using outputs from the Preliminary Reference Earth Model (PREM) or other Earth models - Linearly interpolates load Love/Shida numbers for missing degrees diff --git a/doc/source/api_reference/scripts/calc_harmonic_resolution.rst b/doc/source/api_reference/scripts/calc_harmonic_resolution.rst index 4926eb5d..c23fe1cc 100644 --- a/doc/source/api_reference/scripts/calc_harmonic_resolution.rst +++ b/doc/source/api_reference/scripts/calc_harmonic_resolution.rst @@ -1,6 +1,6 @@ -=========================== -calc_harmonic_resolution.py -=========================== +=============================== +``calc_harmonic_resolution.py`` +=============================== - Calculates the spatial resolution that can be resolved by the spherical harmonics of a certain degree :cite:p:`Barthelmes:2013fy,HofmannWellenhof:2006hy` - Default method uses the smallest half-wavelength that can be resolved diff --git a/doc/source/api_reference/scripts/calc_mascon.rst b/doc/source/api_reference/scripts/calc_mascon.rst index b41ef5b2..67ad6636 100644 --- a/doc/source/api_reference/scripts/calc_mascon.rst +++ b/doc/source/api_reference/scripts/calc_mascon.rst @@ -1,6 +1,6 @@ -============== -calc_mascon.py -============== +================== +``calc_mascon.py`` +================== - Reads in GRACE/GRACE-FO spherical harmonic coefficients - Correct spherical harmonics with the specified GIA model group diff --git a/doc/source/api_reference/scripts/calc_sensitivity_kernel.rst b/doc/source/api_reference/scripts/calc_sensitivity_kernel.rst index 72276dd7..0abfa608 100644 --- a/doc/source/api_reference/scripts/calc_sensitivity_kernel.rst +++ b/doc/source/api_reference/scripts/calc_sensitivity_kernel.rst @@ -1,6 +1,6 @@ -========================== -calc_sensitivity_kernel.py -========================== +============================== +``calc_sensitivity_kernel.py`` +============================== - Calculates spatial sensitivity kernels through a least-squares mascon procedure following :cite:t:`Tiwari:2009bx,Jacob:2012gv` diff --git a/doc/source/api_reference/scripts/combine_harmonics.rst b/doc/source/api_reference/scripts/combine_harmonics.rst index d7a383e4..d2481c33 100644 --- a/doc/source/api_reference/scripts/combine_harmonics.rst +++ b/doc/source/api_reference/scripts/combine_harmonics.rst @@ -1,6 +1,6 @@ -==================== -combine_harmonics.py -==================== +======================== +``combine_harmonics.py`` +======================== - Converts a file from the spherical harmonic domain into the spatial domain :cite:p:`Wahr:1998hy` diff --git a/doc/source/api_reference/scripts/convert_harmonics.rst b/doc/source/api_reference/scripts/convert_harmonics.rst index ca37c135..9e720050 100644 --- a/doc/source/api_reference/scripts/convert_harmonics.rst +++ b/doc/source/api_reference/scripts/convert_harmonics.rst @@ -1,6 +1,6 @@ -==================== -convert_harmonics.py -==================== +======================== +``convert_harmonics.py`` +======================== - Converts a file from the spatial domain into the spherical harmonic domain :cite:p:`Wahr:1998hy` diff --git a/doc/source/api_reference/scripts/grace_mean_harmonics.rst b/doc/source/api_reference/scripts/grace_mean_harmonics.rst index 91ab32c3..198d4608 100644 --- a/doc/source/api_reference/scripts/grace_mean_harmonics.rst +++ b/doc/source/api_reference/scripts/grace_mean_harmonics.rst @@ -1,6 +1,6 @@ -======================= -grace_mean_harmonics.py -======================= +=========================== +``grace_mean_harmonics.py`` +=========================== - Calculates the temporal mean of the GRACE/GRACE-FO spherical harmonics for a specified date range - Used to estimate the static gravitational field over a given date rage diff --git a/doc/source/api_reference/scripts/grace_raster_grids.rst b/doc/source/api_reference/scripts/grace_raster_grids.rst index 1867fb45..9cacebdc 100644 --- a/doc/source/api_reference/scripts/grace_raster_grids.rst +++ b/doc/source/api_reference/scripts/grace_raster_grids.rst @@ -1,6 +1,6 @@ -===================== -grace_raster_grids.py -===================== +========================= +``grace_raster_grids.py`` +========================= - Reads in GRACE/GRACE-FO spherical harmonic coefficients and exports projected spatial fields - Correct spherical harmonics with the specified GIA model group diff --git a/doc/source/api_reference/scripts/grace_spatial_error.rst b/doc/source/api_reference/scripts/grace_spatial_error.rst index 07f62f76..ca012ef2 100644 --- a/doc/source/api_reference/scripts/grace_spatial_error.rst +++ b/doc/source/api_reference/scripts/grace_spatial_error.rst @@ -1,6 +1,6 @@ -====================== -grace_spatial_error.py -====================== +========================== +``grace_spatial_error.py`` +========================== - Reads in GRACE/GRACE-FO spherical harmonic coefficients and exports spatial error field following :cite:t:`Wahr:2006bx` - Filters and smooths data with specified processing algorithms :cite:p:`Jekeli:1981vj,Swenson:2006hu` diff --git a/doc/source/api_reference/scripts/grace_spatial_maps.rst b/doc/source/api_reference/scripts/grace_spatial_maps.rst index 09dc7b98..e2614a09 100644 --- a/doc/source/api_reference/scripts/grace_spatial_maps.rst +++ b/doc/source/api_reference/scripts/grace_spatial_maps.rst @@ -1,6 +1,6 @@ -===================== -grace_spatial_maps.py -===================== +========================= +``grace_spatial_maps.py`` +========================= - Reads in GRACE/GRACE-FO spherical harmonic coefficients and exports monthly spatial fields - Correct spherical harmonics with the specified GIA model group diff --git a/doc/source/api_reference/scripts/mascon_reconstruct.rst b/doc/source/api_reference/scripts/mascon_reconstruct.rst index 39f33fc5..d1857f95 100644 --- a/doc/source/api_reference/scripts/mascon_reconstruct.rst +++ b/doc/source/api_reference/scripts/mascon_reconstruct.rst @@ -1,6 +1,6 @@ -===================== -mascon_reconstruct.py -===================== +========================= +``mascon_reconstruct.py`` +========================= - Calculates the equivalent spherical harmonics from a mascon time series diff --git a/doc/source/api_reference/scripts/piecewise_grace_maps.rst b/doc/source/api_reference/scripts/piecewise_grace_maps.rst index 611aef51..2fba64dd 100644 --- a/doc/source/api_reference/scripts/piecewise_grace_maps.rst +++ b/doc/source/api_reference/scripts/piecewise_grace_maps.rst @@ -1,6 +1,6 @@ -======================= -piecewise_grace_maps.py -======================= +=========================== +``piecewise_grace_maps.py`` +=========================== - Reads in GRACE/GRACE-FO spatial files and fits a piecewise regression model at each grid point for breakpoint analysis diff --git a/doc/source/api_reference/scripts/regress_grace_maps.rst b/doc/source/api_reference/scripts/regress_grace_maps.rst index 309c3480..14ead595 100644 --- a/doc/source/api_reference/scripts/regress_grace_maps.rst +++ b/doc/source/api_reference/scripts/regress_grace_maps.rst @@ -1,6 +1,6 @@ -===================== -regress_grace_maps.py -===================== +========================= +``regress_grace_maps.py`` +========================= - Reads in GRACE/GRACE-FO spatial files and fits a regression model at each grid point diff --git a/doc/source/api_reference/scripts/run_sea_level_equation.rst b/doc/source/api_reference/scripts/run_sea_level_equation.rst index 00b0dd04..2149087a 100644 --- a/doc/source/api_reference/scripts/run_sea_level_equation.rst +++ b/doc/source/api_reference/scripts/run_sea_level_equation.rst @@ -1,6 +1,6 @@ -========================= -run_sea_level_equation.py -========================= +============================= +``run_sea_level_equation.py`` +============================= - Solves the sea level equation with the option of including polar motion feedback :cite:p:`Farrell:1976hm,Kendall:2005ds,Mitrovica:2003cq` - Uses a Clenshaw summation to calculate the spherical harmonic summation :cite:p:`Holmes:2002ff,Tscherning:1982tu` diff --git a/doc/source/api_reference/scripts/scale_grace_maps.rst b/doc/source/api_reference/scripts/scale_grace_maps.rst index 8f1a19ea..1fb72a7b 100644 --- a/doc/source/api_reference/scripts/scale_grace_maps.rst +++ b/doc/source/api_reference/scripts/scale_grace_maps.rst @@ -1,6 +1,6 @@ -=================== -scale_grace_maps.py -=================== +======================= +``scale_grace_maps.py`` +======================= - Reads in GRACE/GRACE-FO spherical harmonic coefficients and exports scaled spatial fields - Correct spherical harmonics with the specified GIA model group diff --git a/doc/source/api_reference/sea_level_equation.rst b/doc/source/api_reference/sea_level_equation.rst index 0be5ac99..449dc782 100644 --- a/doc/source/api_reference/sea_level_equation.rst +++ b/doc/source/api_reference/sea_level_equation.rst @@ -1,6 +1,6 @@ -================== -sea_level_equation -================== +====================== +``sea_level_equation`` +====================== - Solves the sea level equation with the option of including polar motion feedback diff --git a/doc/source/api_reference/spatial.rst b/doc/source/api_reference/spatial.rst index d4b5c441..9048aeeb 100644 --- a/doc/source/api_reference/spatial.rst +++ b/doc/source/api_reference/spatial.rst @@ -1,15 +1,15 @@ -======= -spatial -======= +=========== +``spatial`` +=========== Spatial data class for reading, writing and processing spatial data - Can read ascii, netCDF4, HDF5 files - Can read from an index of the above file types - - Can merge a list of ``spatial`` objects into a single object + - Can merge a list of :py:class:`spatial` objects into a single object - Can subset to a list of GRACE/GRACE-FO months - - Can calculate the mean field of a ``spatial`` object - - Can output ``spatial`` objects to ascii, netCDF4 or HDF5 files + - Can calculate the mean field of a :py:class:`spatial` object + - Can output :py:class:`spatial` objects to ascii, netCDF4 or HDF5 files Calling Sequence ================ diff --git a/doc/source/api_reference/time.rst b/doc/source/api_reference/time.rst index 339666e9..26334198 100644 --- a/doc/source/api_reference/time.rst +++ b/doc/source/api_reference/time.rst @@ -1,6 +1,6 @@ -==== -time -==== +======== +``time`` +======== Utilities for calculating time operations diff --git a/doc/source/api_reference/time_series/amplitude.rst b/doc/source/api_reference/time_series/amplitude.rst index 062c336b..b9b93518 100644 --- a/doc/source/api_reference/time_series/amplitude.rst +++ b/doc/source/api_reference/time_series/amplitude.rst @@ -1,6 +1,6 @@ -===================== -time_series.amplitude -===================== +========================= +``time_series.amplitude`` +========================= - Calculate the amplitude and phase of a harmonic function from calculated sine and cosine of a series of measurements diff --git a/doc/source/api_reference/time_series/fit.rst b/doc/source/api_reference/time_series/fit.rst index e39c6328..359bb306 100644 --- a/doc/source/api_reference/time_series/fit.rst +++ b/doc/source/api_reference/time_series/fit.rst @@ -1,6 +1,6 @@ -=============== -time_series.fit -=============== +=================== +``time_series.fit`` +=================== - Utilities for fitting time-series data with regression models diff --git a/doc/source/api_reference/time_series/lomb_scargle.rst b/doc/source/api_reference/time_series/lomb_scargle.rst index f88f5a39..0f1aafeb 100644 --- a/doc/source/api_reference/time_series/lomb_scargle.rst +++ b/doc/source/api_reference/time_series/lomb_scargle.rst @@ -1,6 +1,6 @@ -======================== -time_series.lomb_scargle -======================== +============================ +``time_series.lomb_scargle`` +============================ - Wrapper function for computing Lomb-Scargle periodograms using ``scipy.signal.lombscargle`` diff --git a/doc/source/api_reference/time_series/piecewise.rst b/doc/source/api_reference/time_series/piecewise.rst index 58b43416..fc4f5bb9 100644 --- a/doc/source/api_reference/time_series/piecewise.rst +++ b/doc/source/api_reference/time_series/piecewise.rst @@ -1,6 +1,6 @@ -===================== -time_series.piecewise -===================== +========================= +``time_series.piecewise`` +========================= - Fits a synthetic signal to data over a time period by ordinary or weighted least-squares for breakpoint analysis diff --git a/doc/source/api_reference/time_series/regress.rst b/doc/source/api_reference/time_series/regress.rst index 75fc1612..67dee571 100644 --- a/doc/source/api_reference/time_series/regress.rst +++ b/doc/source/api_reference/time_series/regress.rst @@ -1,6 +1,6 @@ -=================== -time_series.regress -=================== +======================= +``time_series.regress`` +======================= - Fits a synthetic signal to data over a time period by ordinary or weighted least-squares diff --git a/doc/source/api_reference/time_series/savitzky_golay.rst b/doc/source/api_reference/time_series/savitzky_golay.rst index d50df073..92b133b2 100644 --- a/doc/source/api_reference/time_series/savitzky_golay.rst +++ b/doc/source/api_reference/time_series/savitzky_golay.rst @@ -1,6 +1,6 @@ -========================== -time_series.savitzky_golay -========================== +============================== +``time_series.savitzky_golay`` +============================== - Smooth and optionally differentiate data of non-uniform sampling with a Savitzky-Golay filter - A type of low-pass filter, particularly suited for smoothing noisy data diff --git a/doc/source/api_reference/time_series/smooth.rst b/doc/source/api_reference/time_series/smooth.rst index 093db7ee..7bfbf86c 100644 --- a/doc/source/api_reference/time_series/smooth.rst +++ b/doc/source/api_reference/time_series/smooth.rst @@ -1,6 +1,6 @@ -================== -time_series.smooth -================== +====================== +``time_series.smooth`` +====================== - Computes the moving average of a time-series diff --git a/doc/source/api_reference/tools.rst b/doc/source/api_reference/tools.rst index d3fdbf56..30100e10 100644 --- a/doc/source/api_reference/tools.rst +++ b/doc/source/api_reference/tools.rst @@ -1,6 +1,6 @@ -===== -tools -===== +========= +``tools`` +========= `User interface `_ and plotting tools for use in `Jupyter notebooks `_ diff --git a/doc/source/api_reference/units.rst b/doc/source/api_reference/units.rst index 851d5327..9f445f3a 100644 --- a/doc/source/api_reference/units.rst +++ b/doc/source/api_reference/units.rst @@ -1,6 +1,6 @@ -===== -units -===== +========= +``units`` +========= Class for converting GRACE/GRACE-FO Level-2 data to specific units diff --git a/doc/source/api_reference/utilities.rst b/doc/source/api_reference/utilities.rst index 001ccb0d..3ce419e2 100644 --- a/doc/source/api_reference/utilities.rst +++ b/doc/source/api_reference/utilities.rst @@ -1,6 +1,6 @@ -========= -utilities -========= +============= +``utilities`` +============= Download and management utilities for syncing time and auxiliary files @@ -18,6 +18,14 @@ General Methods .. autofunction:: gravity_toolkit.utilities.get_data_path +.. autofunction:: gravity_toolkit.utilities.get_cache_path + +.. autofunction:: gravity_toolkit.utilities.import_dependency + +.. autofunction:: gravity_toolkit.utilities.dependency_available + +.. autofunction:: gravity_toolkit.utilities.is_valid_url + .. autoclass:: gravity_toolkit.utilities.reify :members: diff --git a/doc/source/api_reference/utilities/make_grace_index.rst b/doc/source/api_reference/utilities/make_grace_index.rst index b0f732e6..ad052001 100644 --- a/doc/source/api_reference/utilities/make_grace_index.rst +++ b/doc/source/api_reference/utilities/make_grace_index.rst @@ -1,6 +1,6 @@ -=================== -make_grace_index.py -=================== +======================= +``make_grace_index.py`` +======================= - Creates index files of GRACE/GRACE-FO Level-2 spherical harmonic data files diff --git a/doc/source/api_reference/utilities/quick_mascon_plot.rst b/doc/source/api_reference/utilities/quick_mascon_plot.rst index da0911b2..676042a5 100644 --- a/doc/source/api_reference/utilities/quick_mascon_plot.rst +++ b/doc/source/api_reference/utilities/quick_mascon_plot.rst @@ -1,6 +1,6 @@ -==================== -quick_mascon_plot.py -==================== +======================== +``quick_mascon_plot.py`` +======================== - Plots a mascon time series file for a particular format diff --git a/doc/source/api_reference/utilities/quick_mascon_regress.rst b/doc/source/api_reference/utilities/quick_mascon_regress.rst index 5b951bcc..837412dd 100644 --- a/doc/source/api_reference/utilities/quick_mascon_regress.rst +++ b/doc/source/api_reference/utilities/quick_mascon_regress.rst @@ -1,6 +1,6 @@ -======================= -quick_mascon_regress.py -======================= +=========================== +``quick_mascon_regress.py`` +=========================== - Creates a regression summary file for a mascon time series file diff --git a/doc/source/api_reference/utilities/run_grace_date.rst b/doc/source/api_reference/utilities/run_grace_date.rst index 4638677f..2745c635 100644 --- a/doc/source/api_reference/utilities/run_grace_date.rst +++ b/doc/source/api_reference/utilities/run_grace_date.rst @@ -1,6 +1,6 @@ -================= -run_grace_date.py -================= +===================== +``run_grace_date.py`` +===================== - Wrapper program for running GRACE date and months programs - Reads GRACE/GRACE-FO index files diff --git a/doc/source/background/Background.rst b/doc/source/background/Background.rst index 7a68dab1..29713bd9 100644 --- a/doc/source/background/Background.rst +++ b/doc/source/background/Background.rst @@ -1,104 +1,81 @@ +.. _background: + ========== Background ========== -Measurement Principle -##################### +Background information on the theoretical concepts used in ``gravity-toolkit``. +*It is not necessary to read through this information* in order to use this library, but it may be helpful for understanding the outputs and assumptions. +The information is organized into separate sections, which can be read in any order. + +.. grid:: 2 2 4 4 + :padding: 0 + + .. grid-item-card:: Measurement Principle + :text-align: center + :link: ./Measurement-Principle.html + + :material-outlined:`scale;5em` + + .. grid-item-card:: Spherical Harmonics + :text-align: center + :link: ./Spherical-Harmonics.html + + :octicon:`globe;5em` + + .. grid-item-card:: Love Numbers + :text-align: center + :link: ./Love-Numbers.html + + :material-outlined:`favorite_border;5em` + + .. grid-item-card:: GRACE Data Products + :text-align: center + :link: ./GRACE-Data-Products.html + + :material-outlined:`data_object;5em` -GRACE and the GRACE Follow-on (GRACE-FO) missions each consist of twin satellites in similar low Earth orbits :cite:p:`Tapley:2019cm`. -The primary and secondary instrumentation onboard the GRACE/GRACE-FO satellites are the ranging instrument -(GRACE has a microwave ranging instrument, GRACE-FO has both a microwave ranging instrument and a laser interferometer), -the global positioning system (GPS), the accelerometers and the star cameras. -Data from these instruments are combined to estimate the distance between the two satellites, -the positions of the satellites in space, the pointing vector of the satellites and any non-gravitational -accelerations the satellites experience. +.. grid:: 2 2 4 4 + :padding: 0 -.. admonition:: The Big Idea + .. grid-item-card:: Geocenter Variations + :text-align: center + :link: ./Geocenter-Variations.html - GRACE/GRACE-FO senses changes in gravity by measuring the change in distance between the two twin satellites: + :material-outlined:`swap_vertical_circle;5em` - 1) As the satellites approach a mass anomaly: leading satellite "feels" a greater gravitational attraction and accelerates |rarr| **distance increases** - 2) As the trailing satellite approaches: greater gravitational attraction |rarr| accelerated by the mass anomaly |rarr| **distance decreases** - 3) Leading satellite passes the anomaly: gravitational attraction pulls backwards |rarr| decelerated by the mass anomaly |rarr| **distance decreases** - 4) When the trailing satellite passes the anomaly and leading satellite is far from the anomaly: trailing satellite decelerated by mass anomaly |rarr| **distance increases back to standard separation** + .. grid-item-card:: Spatial Maps + :text-align: center + :link: ./Spatial-Maps.html -All the onboard measurements are combined with estimates of the background gravity field, atmospheric and oceanic variability, -and tides to create the `Level-2 spherical harmonic product of GRACE and GRACE-FO`__. + :material-outlined:`travel_explore;5em` -.. __: https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/gracefo/open/docs/GRACE-FO_L2_UserHandbook.pdf + .. grid-item-card:: Time Series Analysis + :text-align: center + :link: ./Time-Series-Analysis.html -Data Processing -############### + :material-outlined:`line_axis;5em` -There are three main processing centers that create the Level-2 spherical harmonic data as part of the GRACE/GRACE-FO Science Data System (SDS): -the `University of Texas Center for Space Research (CSR) `_, -the `German Research Centre for Geosciences (GeoForschungsZentrum, GFZ) `_ and -the `Jet Propulsion Laboratory (JPL) `_. + .. grid-item-card:: Glossary + :text-align: center + :link: ./Glossary.html -GRACE/GRACE-FO data is freely available in the US from -the `NASA Physical Oceanography Distributed Active Archive Center (PO.DAAC) `_ and -internationally from the `GFZ Information System and Data Center (ISDC) `_. + :material-outlined:`format_list_bulleted;5em` .. tip:: - There are programs within this repository that can sync with both of these data archives: - ``podaac_cumulus.py`` for `PO.DAAC AWS `_ and - ``gfz_isdc_grace_ftp.py`` for the `GFZ ISDC `_. - -Geoid Height -############ - -The Level-2 spherical harmonic product of GRACE and GRACE-FO provides monthly -estimates of the Earth's gravitational field [see :ref:`fig-sphharm`]. -The Earth's gravitational field varies in time as masses on and within the -Earth move and are exchanged between components of the Earth system :cite:p:`Wahr:1998hy`. -The instantaneous shape of the Earth's gravitational field can be described -in terms of an equipotential surface, a surface of constant potential energy -where the gravitational potential is constant :cite:p:`HofmannWellenhof:2006hy`. -The Earth's geoid is the equipotential surface that coincides with global mean -sea level if the oceans were at rest :cite:p:`HofmannWellenhof:2006hy,Wahr:1998hy`. -The distance between the geoid and an Earth reference ellipsoid is the -geoid height (:math:`N`), or the geoidal undulation :cite:p:`HofmannWellenhof:2006hy`. - -.. figure:: ../_assets/geoid_height.svg - :width: 400 - :align: center - - Relationship between ellipsoid height, geoid height, and topographic height :cite:p:`NRC:1997ea` - -In spherical coordinates, the change in the height of the geoid, -:math:`\Delta N(\theta,\phi)`, at colatitude :math:`\theta` and longitude :math:`\phi`, -can be estimated from a series of spherical harmonics as: - -.. math:: - :label: 1 - - \Delta N(\theta,\phi) = a\sum_{l=1}^{l_{max}}\sum_{m=0}^lP_{lm}(\cos\theta)\left[\Delta C_{lm}\cos{m\phi} + \Delta S_{lm}\sin{m\phi}\right] - -where :math:`a` is the average radius of the Earth, -:math:`P_{lm}(\cos\theta)` are the fully-normalized Legendre polynomials of degree :math:`l` and order :math:`m` for the cosine of colatitude :math:`\theta`, and -:math:`\Delta C_{lm}`, :math:`\Delta S_{lm}` are the changes in the cosine and sine spherical harmonics of degree :math:`l` and order :math:`m` :cite:p:`Chao:1987fq`. - -Surface Mass Density -#################### - -The radial component of a density change within the Earth cannot be uniquely -determined using satellite gravity observations alone :cite:p:`Wahr:1998hy`. -However, fluctuations in water storage and transport can be assumed to be largely -concentrated within a thin layer near the Earth's surface :cite:p:`Wahr:1998hy`. -With this assumption, the Earth's surface mass density -(:math:`\Delta\sigma(\theta,\phi)`), the integral of the density change -(:math:`\Delta\rho(r,\theta,\phi)`) through the thin surface layer, -can be estimated as the following: - -.. math:: - :label: 2 - - \Delta\sigma(\theta,\phi) = \frac{a\rho_{ave}}{3}\sum_{l=0}^{l_{max}}\sum_{m=0}^l\frac{2l+1}{1+k_l}P_{lm}(\cos\theta)\left[\Delta C_{lm}\cos{m\phi} + \Delta S_{lm}\sin{m\phi}\right] - -where :math:`\rho_{ave}` is the average density of the Earth, and -:math:`k_l` is the gravitational potential load Love number of degree :math:`l`. -Using this assumption, solid Earth variations occurring outside of this -thin layer, such as Glacial Isostatic Adjustment (GIA) effects, -must be independently estimated and removed. - -.. |rarr| unicode:: U+2192 .. RIGHTWARDS ARROW + For a more in-depth understanding of the underlying concepts: refer to the :ref:`original literature ` and the :ref:`project resources `. + +.. toctree:: + :hidden: + :maxdepth: 1 + :numbered: + :caption: Background + + ./Measurement-Principle.rst + ./Spherical-Harmonics.rst + ./Love-Numbers.rst + ./GRACE-Data-Products.rst + ./Geocenter-Variations.rst + ./Spatial-Maps.rst + ./Time-Series-Analysis.rst + ./Glossary.rst diff --git a/doc/source/getting_started/GRACE-Data-File-Formats.rst b/doc/source/background/GRACE-Data-Products.rst similarity index 82% rename from doc/source/getting_started/GRACE-Data-File-Formats.rst rename to doc/source/background/GRACE-Data-Products.rst index 66bd180d..b0266c5e 100644 --- a/doc/source/getting_started/GRACE-Data-File-Formats.rst +++ b/doc/source/background/GRACE-Data-Products.rst @@ -1,6 +1,23 @@ -================= -Data File Formats -================= +============= +Data Products +============= + +Data Processing +############### + +There are three main processing centers that create the Level-2 spherical harmonic data as part of the GRACE/GRACE-FO Science Data System (SDS): +the `University of Texas Center for Space Research (CSR) `_, +the `German Research Centre for Geosciences (GeoForschungsZentrum, GFZ) `_ and +the `Jet Propulsion Laboratory (JPL) `_. + +GRACE/GRACE-FO data is freely available in the US from +the `NASA Physical Oceanography Distributed Active Archive Center (PO.DAAC) `_ and +internationally from the `GFZ Information System and Data Center (ISDC) `_. + +.. tip:: + There are programs within this repository that can sync with both of these data archives: + :py:mod:`podaac_cumulus.py` for `PO.DAAC AWS `_ and + :py:mod:`gfz_isdc_grace_ftp.py` for the `GFZ ISDC `_. Product Identifier ################## diff --git a/doc/source/background/Geocenter-Variations.rst b/doc/source/background/Geocenter-Variations.rst index b6f3d548..f9cd5127 100644 --- a/doc/source/background/Geocenter-Variations.rst +++ b/doc/source/background/Geocenter-Variations.rst @@ -2,17 +2,10 @@ Geocenter Variations ==================== -Variations in the Earth's geocenter reflect the largest scale -variability of mass within the Earth system, and are essential -inclusions for the complete recovery of surface mass change from -time-variable gravity. -The Earth's geocenter is the translation between the Earth's -center of mass (CM) and center of figure (CF) reference frames. -Measurements of time-variable gravity from GRACE and GRACE Follow-On -(GRACE-FO) are set in an instantaneous center of mass (CM) reference frame. -For most science applications of time-variable gravity, a coordinate -system with an origin coinciding with the Earth's center of figure -(CF) is required. +Variations in the Earth's geocenter reflect the largest scale variability of mass within the Earth system, and are essential inclusions for the complete recovery of surface mass change from time-variable gravity. +The Earth's geocenter is the translation between the Earth's center of mass (CM) and center of figure (CF) reference frames. +Measurements of time-variable gravity from GRACE and GRACE Follow-On (GRACE-FO) are set in an instantaneous center of mass (CM) reference frame. +For most science applications of time-variable gravity, a coordinate system with an origin coinciding with the Earth's center of figure (CF) is required. Geocenter variations are represented by the degree one spherical harmonic terms. .. important:: @@ -21,13 +14,8 @@ Geocenter variations are represented by the degree one spherical harmonic terms. of ocean mass, ice sheet mass change, and terrestrial hydrology due to far-field signals leaking into each regional estimate :cite:p:`Velicogna:2009ft`. -``calc_degree_one.py`` calculates coefficients of degree one by combining -GRACE/GRACE-FO spherical harmonic products with estimates of -ocean bottom pressure (OBP) following :cite:t:`Swenson:2008cr,Sutterley:2019bx`. -The method assumes that the change in global surface mass density, -:math:`\Delta\sigma(\theta,\phi)`, can be separated into individual -land and ocean components using a land-function -:math:`\vartheta(\theta,\phi)` :cite:p:`Swenson:2008cr`. +:py:mod:`calc_degree_one.py` calculates coefficients of degree one by combining GRACE/GRACE-FO spherical harmonic products with estimates of ocean bottom pressure (OBP) following :cite:t:`Swenson:2008cr,Sutterley:2019bx`. +The method assumes that the change in global surface mass density, :math:`\Delta\sigma(\theta,\phi)`, can be separated into individual land and ocean components using a land-function :math:`\vartheta(\theta,\phi)` :cite:p:`Swenson:2008cr`. .. math:: :label: 4 @@ -35,30 +23,16 @@ land and ocean components using a land-function \Delta\sigma(\theta,\phi) &= \Delta\sigma_{land}(\theta,\phi) + \Delta\sigma_{ocean}(\theta,\phi)\\ \Delta\sigma_{ocean}(\theta,\phi) &= \vartheta(\theta,\phi)~\Delta\sigma(\theta,\phi) -The oceanic components of the change in degree one spherical harmonics -(:math:`\Delta C^{ocean}_{10}`, :math:`\Delta C^{ocean}_{11}`, and :math:`\Delta S^{ocean}_{11}`) -can then be calculated from the changes in ocean mass, -:math:`\Delta\sigma_{ocean}(\theta,\phi)` :cite:p:`Swenson:2008cr,Wahr:1998hy`. -If the oceanic contributions to degree one variability -(:math:`\Delta C^{ocean}_{10}`, :math:`\Delta C^{ocean}_{11}`, and :math:`\Delta S^{ocean}_{11}`) -can be estimated from an ocean model, then the unknown complete degree one terms -(:math:`\Delta C_{10}`, :math:`\Delta C_{11}`, and :math:`\Delta S_{11}`) can be -calculated from the residual between the oceanic degree one terms and the -measured mass change over the ocean calculated using all other degrees of -the global spherical harmonics from GRACE/GRACE-FO :cite:p:`Swenson:2008cr,Sutterley:2019bx`. - -The ``calc_degree_one.py`` program will output geocenter files in ascii format -for each GRACE/GRACE-FO month following :cite:t:`Sutterley:2019bx`. -Uncertainties in geocenter due to a combination of error sources can be -estimated using the ``monte_carlo_degree_one.py`` program. +The oceanic components of the change in degree one spherical harmonics (:math:`\Delta C^{ocean}_{10}`, :math:`\Delta C^{ocean}_{11}`, and :math:`\Delta S^{ocean}_{11}`) can then be calculated from the changes in ocean mass, :math:`\Delta\sigma_{ocean}(\theta,\phi)` :cite:p:`Swenson:2008cr,Wahr:1998hy`. +If the oceanic contributions to degree one variability (:math:`\Delta C^{ocean}_{10}`, :math:`\Delta C^{ocean}_{11}`, and :math:`\Delta S^{ocean}_{11}`) can be estimated from an ocean model, then the unknown complete degree one terms (:math:`\Delta C_{10}`, :math:`\Delta C_{11}`, and :math:`\Delta S_{11}`) can be calculated from the residual between the oceanic degree one terms and the measured mass change over the ocean calculated using all other degrees of the global spherical harmonics from GRACE/GRACE-FO :cite:p:`Swenson:2008cr,Sutterley:2019bx`. + +The :py:mod:`calc_degree_one.py` program will output geocenter files in ascii format for each GRACE/GRACE-FO month following :cite:t:`Sutterley:2019bx`. +Uncertainties in geocenter due to a combination of error sources can be estimated using the :py:mod:`monte_carlo_degree_one.py` program. Load Love Numbers ################# -The degree one Love number of gravitational potential :math:`k_1` is defined so -that the degree one terms describe the offset between the center of mass (CM) -of the combined surface mass and deformed solid Earth, and the center of figure (CF) -of the deformed solid Earth surface :cite:p:`Trupin:1992kp,Blewitt:2003bz`. +The degree one Love number of gravitational potential :math:`k_1` is defined so that the degree one terms describe the offset between the center of mass (CM) of the combined surface mass and deformed solid Earth, and the center of figure (CF) of the deformed solid Earth surface :cite:p:`Trupin:1992kp,Blewitt:2003bz`. For the CF coordinate system, this means .. math:: @@ -66,14 +40,12 @@ For the CF coordinate system, this means k_1 = -(h_1 + 2\ell_1)/3 -where :math:`h_1` and :math:`\ell_1` are the degree one vertical and -horizontal displacement Love numbers. +where :math:`h_1` and :math:`\ell_1` are the degree one vertical and horizontal displacement Love numbers. Geocenter and Degree One ######################## -Fully-normalized degree one variations can be converted to -cartesian geocenter variations using the following relation: +Fully-normalized degree one variations can be converted to cartesian geocenter variations using the following relation: .. math:: :label: 6 @@ -83,6 +55,4 @@ cartesian geocenter variations using the following relation: \Delta Z &= a\sqrt{3}~\Delta C_{10} -The ``geocenter`` class has utilities for converting between -spherical harmonics and geocenter variation along with -readers for different geocenter datasets. +The :py:class:`geocenter` class has utilities for converting between spherical harmonics and geocenter variation along with readers for different geocenter datasets. diff --git a/doc/source/background/Glossary.rst b/doc/source/background/Glossary.rst new file mode 100644 index 00000000..1bb7bd1e --- /dev/null +++ b/doc/source/background/Glossary.rst @@ -0,0 +1,51 @@ +.. _gravity-glossary: + +======== +Glossary +======== + +.. glossary:: + + Body Tide + see :term:`Solid Earth Tide` + + Chandler Wobble + small, semi-periodic deviations in the motion of the pole of rotation + + Epoch + fixed point in time used as a reference value + + Flattening + ratio of the difference between the semi-major and semi-minor axes of an ellipsoid to the semi-major axis + + Free Core Nutation + nearly diurnal deviations in the motion of the pole of rotation due to the resonant motion of the Earth's core relative to the mantle + + see :term:`Nutation` + + Geopotential + the Earth's gravitational potential + + Geoid + equipotential surface coinciding with the ocean surface in the absence of astronomical or dynamical effects + + Love and Shida Numbers + dimensionless parameters relating the vertical (`h`), horizontal (`l`) and gravitational (`k`) elastic responses to tidal loading + + Nutation + short-period oscillations in the motion of the pole of rotation of a freely rotating body + + Polar Motion + irregular motion of the Earth's pole of rotation relative to the Earth's crust + + Pole Tide + apparent tide due to variations in the Earth's axis of rotation about its mean + + Precession + regular conical motion of the pole of rotation of a freely rotating body + + Solid Earth Tide + deformation of the solid Earth due to gravitational forces + + Tilt Factor + Combination of :term:`Love/Shida numbers ` describing the displacement of the Earth's ocean surface with respect to the Earth's deformed crust diff --git a/doc/source/background/Love-Numbers.rst b/doc/source/background/Love-Numbers.rst new file mode 100644 index 00000000..9c1fb014 --- /dev/null +++ b/doc/source/background/Love-Numbers.rst @@ -0,0 +1,36 @@ +.. _love-and-shida-numbers: + +====================== +Love and Shida Numbers +====================== + +When the mass distribution on the surface of the Earth varies, the solid Earth deforms both elastically and inelastically. +This deformation has three distinct components: + +1. a vertical (radial) displacement of the surface +2. a horizontal (tangential) displacement of the surface +3. a change in the gravitational potential + +The magnitude of each individual component can be characterised by a dimensionless scaling factor :cite:p:`Love:1909eh,Shida:1912dj`. +These factors are collectively known as :term:`Love/Shida Numbers `, and are defined for each :ref:`spherical harmonic degree `. + +.. list-table:: + :header-rows: 1 + :align: center + + * - Symbol + - Name + * - :math:`h_l` + - Love number (vertical) + * - :math:`k_l` + - Love number (potential) + * - :math:`l_l` + - Shida number (horizontal) + +.. _load-love-numbers: + +Load Love Numbers +----------------- + +Load Love numbers describe the deformation of the solid Earth in response to a change in *surface mass load*. +The loading change acts upon the *surface of the Earth* :cite:p:`Wahr:1998hy`. diff --git a/doc/source/background/Measurement-Principle.rst b/doc/source/background/Measurement-Principle.rst new file mode 100644 index 00000000..0b6a8925 --- /dev/null +++ b/doc/source/background/Measurement-Principle.rst @@ -0,0 +1,26 @@ +Measurement Principle +##################### + +GRACE and the GRACE Follow-on (GRACE-FO) missions each consist of twin satellites in similar low Earth orbits :cite:p:`Tapley:2019cm`. +The primary and secondary instrumentation onboard the GRACE/GRACE-FO satellites are the ranging instrument +(GRACE has a microwave ranging instrument, GRACE-FO has both a microwave ranging instrument and a laser interferometer), +the global positioning system (GPS), the accelerometers and the star cameras. +Data from these instruments are combined to estimate the distance between the two satellites, +the positions of the satellites in space, the pointing vector of the satellites and any non-gravitational +accelerations the satellites experience. + +.. admonition:: The Big Idea + + GRACE/GRACE-FO senses changes in gravity by measuring the change in distance between the two twin satellites: + + 1) As the satellites approach a mass anomaly: leading satellite "feels" a greater gravitational attraction and accelerates |rarr| **distance increases** + 2) As the trailing satellite approaches: greater gravitational attraction |rarr| accelerated by the mass anomaly |rarr| **distance decreases** + 3) Leading satellite passes the anomaly: gravitational attraction pulls backwards |rarr| decelerated by the mass anomaly |rarr| **distance decreases** + 4) When the trailing satellite passes the anomaly and leading satellite is far from the anomaly: trailing satellite decelerated by mass anomaly |rarr| **distance increases back to standard separation** + +All the onboard measurements are combined with estimates of the background gravity field, atmospheric and oceanic variability, +and tides to create the `Level-2 spherical harmonic product of GRACE and GRACE-FO`__. + +.. __: https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/gracefo/open/docs/GRACE-FO_L2_UserHandbook.pdf + +.. |rarr| unicode:: U+2192 .. RIGHTWARDS ARROW diff --git a/doc/source/background/Spatial-Maps.rst b/doc/source/background/Spatial-Maps.rst index f6126a5b..ba64ead7 100644 --- a/doc/source/background/Spatial-Maps.rst +++ b/doc/source/background/Spatial-Maps.rst @@ -11,7 +11,7 @@ remove unwanted sources of gravitational variability, and convert to appropriate .. tip:: - The ``grace_spatial_maps.py`` program will output spatial files in ascii, netCDF4 or HDF5 format + The :py:mod:`grace_spatial_maps.py` program will output spatial files in ascii, netCDF4 or HDF5 format for each GRACE/GRACE-FO month. Load Love Numbers @@ -29,7 +29,7 @@ removed from the spherical harmonic coefficients :cite:p:`Wahr:1998hy`. Here, we use load Love and Shida numbers with parameters calculated from the Preliminary Reference Earth model (PREM) :cite:p:`Farrell:1972cm,Dziewonski:1981bz`. In order to help estimate the uncertainty in elastic deformation, -``grace_spatial_maps.py`` can use different sets of load Love numbers by adjusting the +:py:mod:`grace_spatial_maps.py` can use different sets of load Love numbers by adjusting the ``--love`` command line option. Reference Frames @@ -44,13 +44,13 @@ Applications set in a center of figure (CF) reference frame, such as the recovery of mass variations of the oceans, hydrosphere and cryosphere, require the inclusion of degree one terms to be fully accurate :cite:p:`Swenson:2008cr`. -``grace_spatial_maps.py`` has geocenter options to select the degree one product to +:py:mod:`grace_spatial_maps.py` has geocenter options to select the degree one product to include with the GRACE/GRACE-FO derived harmonics. There are options for using measurements from satellite laser ranging :cite:p:`Cheng:2013tz` and calculations from time-variable gravity and ocean model outputs :cite:p:`Swenson:2008cr,Sutterley:2019bx`. If including degree one harmonics and changing the reference frame, the reference frame for the load Love numbers needs to be updated accordingly :cite:p:`Blewitt:2003bz`. -In ``grace_spatial_maps.py`` and other GRACE/GRACE-FO programs, the reference frame for the load Love numbers +In :py:mod:`grace_spatial_maps.py` and other GRACE/GRACE-FO programs, the reference frame for the load Love numbers is adjusted by setting the ``--reference`` command line option to ``'CF'``. Low-Degree Harmonics @@ -83,7 +83,7 @@ The figure axis harmonics (:math:`C_{21}` and :math:`S_{21}`) may also be contam by noise during the single-accelerometer months in the GFZ products :cite:p:`Dahle:2019jf`. Measurements from satellite laser ranging (SLR) can provide an independent assessment for some low degree and order spherical harmonics. -``grace_spatial_maps.py`` has options for replacing +:py:mod:`grace_spatial_maps.py` has options for replacing :math:`C_{20}`, :math:`C_{21}`, :math:`S_{21}`, diff --git a/doc/source/background/Spherical-Harmonics.rst b/doc/source/background/Spherical-Harmonics.rst index ad5d1617..d8a4ea06 100644 --- a/doc/source/background/Spherical-Harmonics.rst +++ b/doc/source/background/Spherical-Harmonics.rst @@ -1,9 +1,51 @@ -:orphan: +.. _spherical-harmonics: + +Spherical Harmonics +=================== + +Geoid Height +------------ + +The Level-2 spherical harmonic product of GRACE and GRACE-FO provides monthly estimates of the Earth's gravitational field [see :ref:`fig-sphharm`]. +The Earth's gravitational field varies in time as masses on and within the Earth move and are exchanged between components of the Earth system :cite:p:`Wahr:1998hy`. +The instantaneous shape of the Earth's gravitational field can be described in terms of an equipotential surface, a surface of constant potential energy where the gravitational potential is constant :cite:p:`HofmannWellenhof:2006hy`. +The Earth's geoid is the equipotential surface that coincides with global mean sea level if the oceans were at rest :cite:p:`HofmannWellenhof:2006hy,Wahr:1998hy`. +The distance between the geoid and an Earth reference ellipsoid is the geoid height (:math:`N`), or the geoidal undulation :cite:p:`HofmannWellenhof:2006hy`. + +.. figure:: ../_assets/geoid_height.svg + :width: 400 + :align: center + + Relationship between ellipsoid height, geoid height, and topographic height :cite:p:`NRC:1997ea` + +In spherical coordinates, the change in the height of the geoid, :math:`\Delta N(\theta,\phi)`, at colatitude :math:`\theta` and longitude :math:`\phi`, can be estimated from a series of spherical harmonics as: + +.. math:: + :label: 1 + + \Delta N(\theta,\phi) = a\sum_{l=1}^{l_{max}}\sum_{m=0}^lP_{lm}(\cos\theta)\left[\Delta C_{lm}\cos{m\phi} + \Delta S_{lm}\sin{m\phi}\right] + +where :math:`a` is the average radius of the Earth, :math:`P_{lm}(\cos\theta)` are the fully-normalized Legendre polynomials of degree :math:`l` and order :math:`m` for the cosine of colatitude :math:`\theta`, and :math:`\Delta C_{lm}`, :math:`\Delta S_{lm}` are the changes in the cosine and sine spherical harmonics of degree :math:`l` and order :math:`m` :cite:p:`Chao:1987fq`. + +Surface Mass Density +-------------------- + +The radial component of a density change within the Earth cannot be uniquely determined using satellite gravity observations alone :cite:p:`Wahr:1998hy`. +However, fluctuations in water storage and transport can be assumed to be largely concentrated within a thin layer near the Earth's surface :cite:p:`Wahr:1998hy`. +With this assumption, the Earth's surface mass density (:math:`\Delta\sigma(\theta,\phi)`), the integral of the density change (:math:`\Delta\rho(r,\theta,\phi)`) through the thin surface layer, can be estimated as the following: + +.. math:: + :label: 2 + + \Delta\sigma(\theta,\phi) = \frac{a\rho_{ave}}{3}\sum_{l=0}^{l_{max}}\sum_{m=0}^l\frac{2l+1}{1+k_l}P_{lm}(\cos\theta)\left[\Delta C_{lm}\cos{m\phi} + \Delta S_{lm}\sin{m\phi}\right] + +where :math:`\rho_{ave}` is the average density of the Earth, and :math:`k_l` is the gravitational potential load Love number of degree :math:`l`. +Using this assumption, solid Earth variations occurring outside of this thin layer, such as Glacial Isostatic Adjustment (GIA) effects, must be independently estimated and removed. .. _fig-sphharm: -Spherical Harmonics -------------------- +Low-Degree Harmonics +-------------------- .. plot:: ./background/sphharm.py :show-source-link: False diff --git a/doc/source/background/Time-Series-Analysis.rst b/doc/source/background/Time-Series-Analysis.rst index 86f5234e..d60fa7ac 100644 --- a/doc/source/background/Time-Series-Analysis.rst +++ b/doc/source/background/Time-Series-Analysis.rst @@ -58,10 +58,10 @@ Getting the kernels "just right" in order to isolate regions of interest takes s The set of least-squares mascon programs have been used in :cite:p:`Velicogna:2014km` and other publications for regional time series analysis. -The ``calc_mascon.py`` program additionally calculates the GRACE/GRACE-FO error +The :py:mod:`calc_mascon.py` program additionally calculates the GRACE/GRACE-FO error harmonics following :cite:t:`Wahr:2006bx`. -The ``calc_mascon.py`` program will output a text file of the time series for each mascon +The :py:mod:`calc_mascon.py` program will output a text file of the time series for each mascon with columns: GRACE/GRACE-FO month, mid-month date in decimal-year format, estimated monthly mass anomaly [Gt], estimated monthly error [Gt], and mascon area [km\ :sup:`2`]. diff --git a/doc/source/background/sphharm.py b/doc/source/background/sphharm.py index c7cca1b6..85852172 100644 --- a/doc/source/background/sphharm.py +++ b/doc/source/background/sphharm.py @@ -28,8 +28,8 @@ projection = ccrs.Orthographic(central_longitude=0.0, central_latitude=0.0) # plot spherical harmonics -fig = plt.figure(num=1, figsize=(12,7)) -patch = mpatches.Rectangle((0, 0), 0.445, 1, color='0.975', +fig = plt.figure(num=1, figsize=(12,7), facecolor="#fcfcfc") +patch = mpatches.Rectangle((0, 0), 0.445, 1, color='0.95', zorder=0, transform=fig.transFigure) fig.add_artist(patch) diff --git a/doc/source/conf.py b/doc/source/conf.py index de2d6649..4e8c4de8 100644 --- a/doc/source/conf.py +++ b/doc/source/conf.py @@ -12,12 +12,17 @@ # import os # import sys +import logging import datetime +import warnings + # sys.path.insert(0, os.path.abspath('.')) import importlib.metadata # -- Project information ----------------------------------------------------- +on_rtd = os.environ.get("READTHEDOCS") == "True" +on_github = os.environ.get("GITHUB_ACTIONS") == "true" # package metadata metadata = importlib.metadata.metadata("gravity-toolkit") @@ -31,6 +36,23 @@ # append "v" before the version release = f"v{version}" +# filter out numfig warnings when building documentation, see +# https://github.com/sphinx-doc/sphinx/issues/10316 +# https://github.com/sphinx-doc/sphinx/pull/14446 +class numfig_filter(logging.Filter): + def filter(self, record): + warning_type = getattr(record, "type", "") + warning_subtype = getattr(record, "subtype", "") + suppress_warning = ( + f"{warning_type}.{warning_subtype}" == "html.numfig_format" + or record.getMessage().startswith("numfig_format") + ) + return not suppress_warning + +# suppress warnings in examples and documentation +if on_rtd: + warnings.filterwarnings("ignore") + # -- General configuration --------------------------------------------------- # Add any Sphinx extension module names here, as strings. They can be @@ -54,6 +76,21 @@ ".ipynb": "myst-nb", } nb_execution_mode = "off" +# execute notebooks on build +if on_rtd: + nb_execution_mode = "auto" + nb_execution_excludepatterns = [ + "notebooks/*.ipynb", + ] + nb_output_stderr = "remove-warn" +elif on_github: + nb_execution_mode = "off" +else: + nb_execution_mode = "auto" + nb_execution_excludepatterns = [ + "notebooks/*.ipynb", + ] + nb_output_stderr = "remove-warn" # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] @@ -85,10 +122,16 @@ html_show_sphinx = True html_show_copyright = True +numfig_format = { + "code-block": None, + "figure": "Figure %s:", + "table": "Table %s:", +} + # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # -html_theme = 'sphinx_rtd_theme' +html_theme = "sphinx_rtd_theme" html_theme_options = { "logo_only": True, } @@ -96,18 +139,35 @@ # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". -html_logo = "_assets/logo.png" -html_static_path = ['_static'] -repository_url = f"https://github.com/tsutterley/gravity-toolkit" +html_logo = "_assets/gravity_logo.png" +html_static_path = ["_static"] +# fetch the project urls +project_urls = {} +for project_url in metadata.get_all("Project-URL"): + name, _, url = project_url.partition(", ") + project_urls[name.lower()] = url +# fetch the repository url +github_url = project_urls.get("repository") +*_, github_user, github_repo = github_url.split("/") +# add html context html_context = { + "display_github": True, + "github_user": github_user, + "github_repo": github_repo, + "github_version": "main", + "conf_py_path": "/doc/source/", "menu_links": [ ( ' Source Code', - repository_url, + github_url, ), ( ' License', - f"{repository_url}/blob/main/LICENSE", + f"{github_url}/blob/main/LICENSE", + ), + ( + ' Discussions', + f"{github_url}/discussions", ), ], } diff --git a/doc/source/getting_started/Install.ipynb b/doc/source/getting_started/Install.ipynb new file mode 100644 index 00000000..74fd99ed --- /dev/null +++ b/doc/source/getting_started/Install.ipynb @@ -0,0 +1,181 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "2e01086c", + "metadata": {}, + "source": [ + "# Setup and Installation\n", + "\n", + "## Installation\n", + "\n", + "`gravity-toolkit` is available for download from the [GitHub repository](https://github.com/tsutterley/gravity-toolkit), the [Python Package Index (pypi)](https://pypi.org/project/gravity-toolkit/), and from [conda-forge](https://anaconda.org/conda-forge/gravity-toolkit).\n", + "\n", + "\n", + "The simplest installation for most users will likely be using `conda` or `mamba`:\n", + "\n", + "```bash\n", + "conda install -c conda-forge gravity-toolkit\n", + "```\n", + "\n", + "`conda` installed versions of `gravity-toolkit` can be upgraded to the latest stable release:\n", + "\n", + "```bash\n", + "conda update gravity-toolkit\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "af65ece3", + "metadata": {}, + "source": [ + "(development-install)=\n", + "\n", + "## Development Install\n", + "\n", + "To use the development repository, please fork `gravity-toolkit` into your own account and then clone onto your system:\n", + "\n", + "```bash\n", + "git clone https://github.com/tsutterley/gravity-toolkit.git\n", + "```\n", + "\n", + "`gravity-toolkit` can then be installed within the package directory using `pip`:\n", + "\n", + "```bash\n", + "python3 -m pip install --user .\n", + "```\n", + "\n", + "To include all optional dependencies:\n", + "\n", + "```bash\n", + "python3 -m pip install --user .[all]\n", + "```\n", + "\n", + "The development version of `gravity-toolkit` can also be installed directly from GitHub using `pip`:\n", + "\n", + "```bash\n", + "python3 -m pip install --user git+https://github.com/tsutterley/gravity-toolkit.git\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "14ae498c", + "metadata": {}, + "source": [ + "## Package Management with ``pixi``\n", + "\n", + "Alternatively `pixi` can be used to create a [streamlined environment](https://pixi.sh/) after cloning the repository:\n", + "\n", + "```bash\n", + "pixi install\n", + "```\n", + "\n", + "`pixi` maintains isolated environments for each project, allowing for different versions of `gravity-toolkit` and its dependencies to be used without conflict.\n", + "The `pixi.lock` file within the repository defines the required packages and versions for the environment.\n", + "\n", + "`pixi` can also create shells for running programs within the environment:\n", + "\n", + "```bash\n", + "pixi shell\n", + "```\n", + "\n", + "To see the available tasks within the `gravity-toolkit` workspace:\n", + "\n", + "```bash\n", + "pixi task list\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "15f4d37e", + "metadata": { + "tags": [ + "remove-input" + ] + }, + "outputs": [], + "source": [ + "! pixi task list" + ] + }, + { + "cell_type": "markdown", + "id": "158990b9", + "metadata": {}, + "source": [ + "```{note}\n", + "`pixi` is under active development and may change in future releases\n", + "```\n" + ] + }, + { + "cell_type": "markdown", + "id": "286e9898", + "metadata": {}, + "source": [ + "## Verifying Installation" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dbeee9a1", + "metadata": {}, + "outputs": [], + "source": [ + "import gravity_toolkit as gravtk\n", + "\n", + "print(f\"gravity-toolkit version: {gravtk.__version__}\")" + ] + }, + { + "cell_type": "markdown", + "id": "1c110ff4", + "metadata": {}, + "source": [ + "## Configuration\n", + "\n", + "The `gravity-toolkit` cache directory is the default location for downloaded GRACE/GRACE-FO and auxiliary data.\n", + "The default cache directory is platform-specific and set by the `platformdirs` package.\n", + "This parametrized path can be _persistently_ overridden on a machine by setting the `GRAVTK_CACHE_DIR` environment variable.\n", + "\n", + "The location of the cache directory used by `gravity-toolkit` can be checked by:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ad800ca5", + "metadata": {}, + "outputs": [], + "source": [ + "gravtk.utilities.get_cache_path()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "py13", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/doc/source/getting_started/Install.rst b/doc/source/getting_started/Install.rst deleted file mode 100644 index 2390efb8..00000000 --- a/doc/source/getting_started/Install.rst +++ /dev/null @@ -1,76 +0,0 @@ -============ -Installation -============ - -``gravity-toolkit`` is available for download from the `GitHub repository `_, -the `Python Package Index (pypi) `_, -and from `conda-forge `_. - - -The simplest installation for most users will likely be using ``conda`` or ``mamba``: - -.. code-block:: bash - - conda install -c conda-forge gravity-toolkit - -``conda`` installed versions of ``gravity-toolkit`` can be upgraded to the latest stable release: - -.. code-block:: bash - - conda update gravity-toolkit - -Development Install -################### - -To use the development repository, please fork ``gravity-toolkit`` into your own account and then clone onto your system: - -.. code-block:: bash - - git clone https://github.com/tsutterley/gravity-toolkit.git - -``gravity-toolkit`` can then be installed within the package directory using ``pip``: - -.. code-block:: bash - - python3 -m pip install --user . - -To include all optional dependencies: - -.. code-block:: bash - - python3 -m pip install --user .[all] - -The development version of ``gravity-toolkit`` can also be installed directly from GitHub using ``pip``: - -.. code-block:: bash - - python3 -m pip install --user git+https://github.com/tsutterley/gravity-toolkit.git - -Package Management with ``pixi`` -################################ - -Alternatively ``pixi`` can be used to create a `streamlined environment `_ after cloning the repository: - -.. code-block:: bash - - pixi install - -``pixi`` maintains isolated environments for each project, allowing for different versions of -``gravity-toolkit`` and its dependencies to be used without conflict. The ``pixi.lock`` file within the -repository defines the required packages and versions for the environment. - -``pixi`` can also create shells for running programs within the environment: - -.. code-block:: bash - - pixi shell - -To see the available tasks within the ``gravity-toolkit`` workspace: - -.. code-block:: bash - - pixi task list - -.. note:: - - ``pixi`` is under active development and may change in future releases diff --git a/doc/source/getting_started/NASA-Earthdata.rst b/doc/source/getting_started/NASA-Earthdata.rst deleted file mode 100644 index 441ec213..00000000 --- a/doc/source/getting_started/NASA-Earthdata.rst +++ /dev/null @@ -1,74 +0,0 @@ -============== -NASA Earthdata -============== - -NASA Data Distribution Centers -############################## - -The NASA Earth Science Data Information Systems Project funds and operates -`12 Distributed Active Archive Centers (DAACs) `_ throughout the United States. -These centers have recently transitioned from ftp to https servers. -The https updates are designed to increase performance and improve security during data retrieval. -NASA Earthdata uses `OAuth2 `_, an approach to authentication that protects your personal information. - -- https://urs.earthdata.nasa.gov/documentation -- https://wiki.earthdata.nasa.gov/display/EL/Knowledge+Base - -PO.DAAC -####### -The `Physical Oceanography Distributed Active Archive Center (PO.DAAC) `_ -provides data and related information pertaining to the physical processes and conditions of the global oceans, -including measurements of ocean winds, temperature, topography, salinity, circulation and currents, and sea ice. -PO.DAAC hosts - -PO.DAAC has `migrated its data archive to the Earthdata Cloud `_, -which is hosted in Amazon Web Services (AWS). - -.. tip:: - - If any problems contact JPL PO.DAAC support at `podaac@podaac.jpl.nasa.gov `_ - or the NASA EOSDIS support team `support@earthdata.nasa.gov `_. - -Steps to Sync from PO.DAAC --------------------------- - -1. `Register with NASA Earthdata Login system `_ -2. `Sync time-variable gravity data using your Earthdata credentials `_ - -Can also create a ``.netrc`` file for permanently storing NASA Earthdata credentials: - -.. code-block:: bash - - echo "machine urs.earthdata.nasa.gov login password " >> ~/.netrc - chmod 0600 ~/.netrc - -Or set environmental variables for your NASA Earthdata credentials: - -.. code-block:: bash - - export EARTHDATA_USERNAME= - export EARTHDATA_PASSWORD= - -NASA Common Metadata Repository -############################### - -The NASA Common Metadata Repository (CMR) is a catalog of all data -and service metadata records contained as part of NASA's Earth -Observing System Data and Information System (EOSDIS). -Querying the CMR system is a way of quickly performing a search -through the NASA Earthdata archive. -Basic queries for the granule names, PO.DAAC URLs and modification times -of GRACE/GRACE-FO data are available through the ``cmr`` routine in the -``utilities`` module. -For AWS instances in ``us-west-2``, CMR queries can access urls for S3 endpoints. - -.. code-block:: python - - ids,urls,mtimes = gravity_toolkit.utilities.cmr(mission='grace-fo', - center='JPL', release='RL06', level='L2', product='GSM', - solution='BA01', provider='POCLOUD', endpoint='s3', verbose=False) - -Other Data Access Examples -########################## -- `Curl and Wget `_ -- `Python `_ diff --git a/doc/source/getting_started/Resources.rst b/doc/source/getting_started/Resources.rst index ff632027..6d1c64de 100644 --- a/doc/source/getting_started/Resources.rst +++ b/doc/source/getting_started/Resources.rst @@ -1,3 +1,5 @@ +.. _resources: + ========= Resources ========= @@ -31,6 +33,7 @@ Product Information Processing Standards #################### + - `GRACE-FO CSR Level-2 Processing Standards Document `_ - `GRACE-FO GFZ Level-2 Processing Standards Document `_ - `GRACE-FO JPL Level-2 Processing Standards Document `_ @@ -44,4 +47,4 @@ Software - `frommle: python/C++ software suite for geodesy and Earth Sciences `_ - `geoid-toolkit: python utilities for calculating geoid heights from static gravity field coefficients `_ - `model-harmonics: python tools for working with model synthetic spherical harmonic coefficients `_ -- `dynamic_mascons: 3D global variable-size mascon development `_ \ No newline at end of file +- `dynamic_mascons: 3D global variable-size mascon development `_ diff --git a/doc/source/index.rst b/doc/source/index.rst index 60440b96..526b3c3d 100644 --- a/doc/source/index.rst +++ b/doc/source/index.rst @@ -9,9 +9,9 @@ coefficients from the NASA/DLR Gravity Recovery and Climate Experiment (GRACE) a the NASA/GFZ Gravity Recovery and Climate Experiment Follow-On (GRACE-FO) missions. Introduction ------------- +============ -.. grid:: 2 2 4 4 +.. grid:: 2 2 2 2 :padding: 0 .. grid-item-card:: Installation @@ -26,12 +26,30 @@ Introduction :material-outlined:`hiking;5em` +User Guide +========== + +.. grid:: 2 2 4 4 + :padding: 0 + + .. grid-item-card:: API Reference + :text-align: center + :link: ./api_reference/API-Reference.html + + :material-outlined:`list_alt;5em` + .. grid-item-card:: Background :text-align: center :link: ./background/Background.html :material-outlined:`library_books;5em` + .. grid-item-card:: NASA Earthdata + :text-align: center + :link: ./user_guide/NASA-Earthdata.html + + :material-outlined:`satellite_alt;5em` + .. grid-item-card:: Examples :text-align: center :link: ./user_guide/Examples.html @@ -39,7 +57,7 @@ Introduction :material-outlined:`apps;5em` Contribute ----------- +========== .. grid:: 2 2 4 4 :padding: 0 @@ -62,6 +80,36 @@ Contribute :material-outlined:`forum;5em` + .. grid-item-card:: Issues + :text-align: center + :link: https://github.com/tsutterley/gravity-toolkit/issues + + :material-outlined:`bug_report;5em` + +Project Details +=============== + +.. grid:: 2 2 4 4 + :padding: 0 + + .. grid-item-card:: Release Notes + :text-align: center + :link: ./release_notes/Release-Notes.html + + :material-outlined:`edit_note;5em` + + .. grid-item-card:: Contributors + :text-align: center + :link: ./project/Contributors.html + + :material-outlined:`diversity_1;5em` + + .. grid-item-card:: License + :text-align: center + :link: ./project/Licenses.html + + :material-outlined:`balance;5em` + .. grid-item-card:: Citation Information :text-align: center :link: ./project/Citations.html @@ -73,168 +121,22 @@ Contribute :hidden: :caption: Getting Started - getting_started/Install.rst + getting_started/Install.ipynb getting_started/Getting-Started.rst - getting_started/NASA-Earthdata.rst - getting_started/GRACE-Data-File-Formats.rst getting_started/Contributing.rst getting_started/Code-of-Conduct.rst getting_started/Resources.rst -.. toctree:: - :maxdepth: 2 - :hidden: - :caption: Background - - background/Background.rst - background/Spatial-Maps.rst - background/Time-Series-Analysis.rst - background/Geocenter-Variations.rst - .. toctree:: :maxdepth: 1 :hidden: :caption: User Guide + api_reference/API-Reference.rst + background/Background.rst + user_guide/NASA-Earthdata.ipynb user_guide/Examples.rst -.. toctree:: - :maxdepth: 1 - :hidden: - :caption: API Reference - - api_reference/associated_legendre.rst - api_reference/clenshaw_summation.rst - api_reference/degree_amplitude.rst - api_reference/destripe_harmonics.rst - api_reference/fourier_legendre.rst - api_reference/gauss_weights.rst - api_reference/gen_averaging_kernel.rst - api_reference/gen_disc_load.rst - api_reference/gen_harmonics.rst - api_reference/gen_point_load.rst - api_reference/gen_spherical_cap.rst - api_reference/gen_stokes.rst - api_reference/geocenter.rst - api_reference/grace_date.rst - api_reference/grace_find_months.rst - api_reference/grace_input_months.rst - api_reference/grace_months_index.rst - api_reference/harmonic_gradients.rst - api_reference/harmonic_summation.rst - api_reference/harmonics.rst - api_reference/legendre.rst - api_reference/legendre_polynomials.rst - api_reference/mascons.rst - api_reference/ocean_stokes.rst - api_reference/read_gfc_harmonics.rst - api_reference/read_GIA_model.rst - api_reference/read_GRACE_harmonics.rst - api_reference/read_love_numbers.rst - api_reference/read_SLR_harmonics.rst - api_reference/sea_level_equation.rst - api_reference/SLR/C20.rst - api_reference/SLR/CS2.rst - api_reference/SLR/C30.rst - api_reference/SLR/C40.rst - api_reference/SLR/C50.rst - api_reference/spatial.rst - api_reference/time.rst - api_reference/time_series/amplitude.rst - api_reference/time_series/fit.rst - api_reference/time_series/lomb_scargle.rst - api_reference/time_series/piecewise.rst - api_reference/time_series/regress.rst - api_reference/time_series/savitzky_golay.rst - api_reference/time_series/smooth.rst - api_reference/tools.rst - api_reference/units.rst - api_reference/utilities.rst - -.. toctree:: - :maxdepth: 1 - :hidden: - :caption: Access - - api_reference/access/cnes_grace_sync.rst - api_reference/access/esa_costg_swarm_sync.rst - api_reference/access/gfz_icgem_costg_ftp.rst - api_reference/access/gfz_isdc_dealiasing_sync.rst - api_reference/access/gfz_isdc_grace_sync.rst - api_reference/access/itsg_graz_grace_sync.rst - api_reference/access/podaac_cumulus.rst - -.. toctree:: - :maxdepth: 1 - :hidden: - :caption: Dealiasing - - api_reference/dealiasing/aod1b_geocenter.rst - api_reference/dealiasing/aod1b_oblateness.rst - api_reference/dealiasing/dealiasing_global_uplift.rst - api_reference/dealiasing/dealiasing_monthly_mean.rst - -.. toctree:: - :maxdepth: 1 - :hidden: - :caption: Geocenter - - api_reference/geocenter/calc_degree_one.rst - api_reference/geocenter/monte_carlo_degree_one.rst - -.. toctree:: - :maxdepth: 1 - :hidden: - :caption: Use Cases - - api_reference/scripts/calc_mascon.rst - api_reference/scripts/calc_harmonic_resolution.rst - api_reference/scripts/calc_sensitivity_kernel.rst - api_reference/scripts/combine_harmonics.rst - api_reference/scripts/convert_harmonics.rst - api_reference/scripts/grace_mean_harmonics.rst - api_reference/scripts/grace_raster_grids.rst - api_reference/scripts/grace_spatial_error.rst - api_reference/scripts/grace_spatial_maps.rst - api_reference/scripts/mascon_reconstruct.rst - api_reference/scripts/piecewise_grace_maps.rst - api_reference/scripts/regress_grace_maps.rst - api_reference/scripts/run_sea_level_equation.rst - api_reference/scripts/scale_grace_maps.rst - -.. toctree:: - :maxdepth: 1 - :hidden: - :caption: Mapping - - api_reference/mapping/plot_AIS_grid_maps.rst - api_reference/mapping/plot_AIS_grid_3maps.rst - api_reference/mapping/plot_AIS_grid_4maps.rst - api_reference/mapping/plot_AIS_grid_movie.rst - api_reference/mapping/plot_AIS_GrIS_maps.rst - api_reference/mapping/plot_AIS_regional_maps.rst - api_reference/mapping/plot_AIS_regional_movie.rst - api_reference/mapping/plot_global_grid_maps.rst - api_reference/mapping/plot_global_grid_3maps.rst - api_reference/mapping/plot_global_grid_4maps.rst - api_reference/mapping/plot_global_grid_5maps.rst - api_reference/mapping/plot_global_grid_9maps.rst - api_reference/mapping/plot_global_grid_movie.rst - api_reference/mapping/plot_GrIS_grid_maps.rst - api_reference/mapping/plot_GrIS_grid_3maps.rst - api_reference/mapping/plot_GrIS_grid_5maps.rst - api_reference/mapping/plot_GrIS_grid_movie.rst - -.. toctree:: - :maxdepth: 1 - :hidden: - :caption: Utilities - - api_reference/utilities/make_grace_index.rst - api_reference/utilities/quick_mascon_plot.rst - api_reference/utilities/quick_mascon_regress.rst - api_reference/utilities/run_grace_date.rst - .. toctree:: :maxdepth: 1 :hidden: @@ -245,6 +147,13 @@ Contribute project/Testing.rst project/Citations.rst +.. toctree:: + :maxdepth: 1 + :hidden: + :caption: Release Notes + + release_notes/Release-Notes.rst + .. toctree:: :maxdepth: 1 :hidden: diff --git a/doc/source/notebooks/GRACE-Geostrophic-Maps.ipynb b/doc/source/notebooks/GRACE-Geostrophic-Maps.ipynb index a147a48d..ca4ce4c2 100644 --- a/doc/source/notebooks/GRACE-Geostrophic-Maps.ipynb +++ b/doc/source/notebooks/GRACE-Geostrophic-Maps.ipynb @@ -310,6 +310,7 @@ "widgets.select_corrections()\n", "widgets.select_output()\n", "# display widgets for setting GRACE/GRACE-FO corrections parameters\n", + "widgets.gaussian.value = 600.0\n", "ipywidgets.VBox([\n", " widgets.GIA_file,\n", " widgets.GIA,\n", @@ -339,7 +340,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -363,10 +364,12 @@ "# grid latitude and longitude\n", "grid.lon = np.copy(landsea.lon)\n", "grid.lat = np.copy(landsea.lat)\n", + "# mask equatorial regions due to hydrostrophic inaccuracies\n", + "valid, = np.nonzero((np.abs(grid.lat) > 10))\n", "\n", "# Computing plms for converting to spatial domain\n", - "theta = (90.0 - grid.lat)*np.pi/180.0\n", - "PLM, dPLM = gravtk.plm_holmes(LMAX, np.cos(theta))\n", + "theta = np.radians(90.0 - grid.lat)\n", + "PLM, dPLM = gravtk.plm_holmes(LMAX, np.cos(theta[valid]))\n", "RAD = widgets.gaussian.value\n", "\n", "# read load love numbers file\n", @@ -443,8 +446,6 @@ "# output geostrophic current grid\n", "grid.data = np.zeros((nlat, nlon, 2,nt))\n", "grid.mask = np.ones((nlat, nlon, 2,nt), dtype=bool)\n", - "# mask equatorial regions due to hydrostrophic inaccuracies\n", - "valid, = np.nonzero((np.abs(grid.lat) > 10))\n", "grid.mask[valid,:,:,:] = False\n", "# set land values from land-sea mask to invalid\n", "indy,indx = np.nonzero(np.logical_not(landsea.mask))\n", @@ -575,7 +576,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3.8.10 64-bit", + "display_name": "py13", "language": "python", "name": "python3" }, @@ -589,12 +590,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6" - } + "version": "3.13.0" } }, "nbformat": 4, diff --git a/doc/source/notebooks/GRACE-Spatial-Error.ipynb b/doc/source/notebooks/GRACE-Spatial-Error.ipynb index 1b765a04..b2cf733e 100644 --- a/doc/source/notebooks/GRACE-Spatial-Error.ipynb +++ b/doc/source/notebooks/GRACE-Spatial-Error.ipynb @@ -288,13 +288,13 @@ " nlat = len(grid.lat)\n", "\n", "# Computing plms for converting to spatial domain\n", - "theta = (90.0 - grid.lat)*np.pi/180.0\n", + "theta = np.radians(90.0 - grid.lat)\n", "PLM, dPLM = gravtk.plm_holmes(LMAX, np.cos(theta))\n", "# square of legendre polynomials truncated to order MMAX\n", "mm = np.arange(0,MMAX+1)\n", "PLM2 = PLM[:,mm,:]**2\n", "# Calculating cos(m*phi)^2 and sin(m*phi)^2\n", - "phi = grid.lon[np.newaxis,:]*np.pi/180.0\n", + "phi = np.radians(grid.lon[np.newaxis,:])\n", "ccos = np.cos(np.dot(mm[:,np.newaxis],phi))**2\n", "ssin = np.sin(np.dot(mm[:,np.newaxis],phi))**2\n", " \n", diff --git a/doc/source/notebooks/GRACE-Spatial-Maps.ipynb b/doc/source/notebooks/GRACE-Spatial-Maps.ipynb index 2b1b908f..c8802c90 100644 --- a/doc/source/notebooks/GRACE-Spatial-Maps.ipynb +++ b/doc/source/notebooks/GRACE-Spatial-Maps.ipynb @@ -405,7 +405,7 @@ " nlat = len(grid.lat)\n", "\n", "# Computing plms for converting to spatial domain\n", - "theta = (90.0-grid.lat)*np.pi/180.0\n", + "theta = np.radians(90.0-grid.lat)\n", "PLM, dPLM = gravtk.plm_holmes(LMAX, np.cos(theta))\n", "\n", "# read load love numbers file\n", diff --git a/doc/source/project/Bibliography.rst b/doc/source/project/Bibliography.rst index 73b0782c..52774b51 100644 --- a/doc/source/project/Bibliography.rst +++ b/doc/source/project/Bibliography.rst @@ -1,3 +1,5 @@ +.. _bibliography: + ============ Bibliography ============ diff --git a/doc/source/project/Citations.rst b/doc/source/project/Citations.rst index 6fe33a86..22c21973 100644 --- a/doc/source/project/Citations.rst +++ b/doc/source/project/Citations.rst @@ -38,18 +38,33 @@ Dependencies This software is also dependent on other commonly used Python packages: -- `cartopy: Python package designed for geospatial data processing `_ +- `boto3: Amazon Web Services (AWS) SDK for Python `_ - `future: Compatibility layer between Python 2 and Python 3 `_ -- `h5py: Python interface for Hierarchal Data Format 5 (HDF5) `_ -- `ipywidgets: interactive HTML widgets for Jupyter notebooks and IPython `_ - `lxml: processing XML and HTML in Python `_ - `matplotlib: Python 2D plotting library `_ - `netCDF4: Python interface to the netCDF C library `_ - `numpy: Scientific Computing Tools For Python `_ +- `platformdirs: Python module for determining platform-specific directories `_ - `python-dateutil: powerful extensions to datetime `_ - `PyYAML: YAML parser and emitter for Python `_ - `scipy: Scientific Tools for Python `_ + +Optional Dependencies +--------------------- + +- `cartopy: Python package designed for geospatial data processing `_ +- `dask: Parallel computing with task scheduling `_ +- `geoid-toolkit: Python utilities for calculating geoid heights from static gravity field coefficients `_ +- `gdal: Pythonic interface to the Geospatial Data Abstraction Library (GDAL) `_ +- `h5py: Python interface for Hierarchal Data Format 5 (HDF5) `_ +- `ipywidgets: interactive HTML widgets for Jupyter notebooks and IPython `_ +- `obstore: Simple, high-throughput Python interface for object storage `_ +- `pyarrow: Apache Arrow Python bindings `_ +- `pyshp: Python read/write support for ESRI Shapefile format `_ +- `s3fs: Pythonic file interface to S3 built on top of botocore `_ +- `shapely: PostGIS-ish operations outside a database context for Python `_ - `tkinter: Python interface to the Tcl/Tk GUI toolkit `_ +- `zarr: Chunked, compressed, N-dimensional arrays in Python `_ Disclaimer ########## diff --git a/doc/source/release_notes/Release-Notes.rst b/doc/source/release_notes/Release-Notes.rst new file mode 100644 index 00000000..ae4d55e3 --- /dev/null +++ b/doc/source/release_notes/Release-Notes.rst @@ -0,0 +1,10 @@ +============= +Release Notes +============= + +.. toctree:: + :maxdepth: 1 + :glob: + :reversed: + + * diff --git a/doc/source/release_notes/release-v1.0.2.0.rst b/doc/source/release_notes/release-v1.0.2.0.rst new file mode 100644 index 00000000..3a53fe36 --- /dev/null +++ b/doc/source/release_notes/release-v1.0.2.0.rst @@ -0,0 +1,221 @@ +.. _release-v1.0.2.0: + +===================== +`Release v1.0.2.0`__ +===================== + +* ``docs``: Update documentation to use sphinx and readthedocs +* ``docs``: update ``readthedocs.yml`` to use conda +* ``fix``: update ``environment.yml`` to include pip +* ``docs``: different environment for docs +* ``feat``: add AOD1B oblateness and isomorphic parameters +* ``feat``: add netCDF4 and HDF5 options to read_GIA_model.py +* ``feat``: add GIA step to getting started +* ``feat``: added ``harmonics`` class for correcting GRACE/GRACE-FO data +* ``feat``: add ``mean`` and ``from_dict`` to ``harmonics`` class +* ``feat``: use ``harmonics`` class to ``index``, ``add``, ``subtract``, ``convolve`` and ``destripe`` +* ``refactor``: separate ``units`` into its own class +* ``feat``: ``units`` factors for ``harmonics`` and ``spatial`` +* ``docs``: add header notes to notebook describing GRACE/GRACE-FO measurements +* ``fix``: podaac program default release to RL06 +* ``fix``: enumeration in ``GRACE-Data-File-Formats.md`` +* ``feat``: add gravity model read from GFZ ICGEM +* ``feat``: add more functionality and mathematical functions to ``harmonics`` class +* ``feat``: check dimensions of ``harmonics`` objects if using mathematics functions +* ``feat``: add viscoelastic crustal uplift to ``units`` class for converting GIA rates +* ``docs``: include source code links to documents +* ``fix``: include degree and order in read GIA program +* ``docs``: include level-2 handbooks and processing standard documents +* ``docs``: include notes about pole tide and atmospheric corrections +* ``feat``: add ocean redistribution to ipynb, add spherical harmonic calculations +* ``feat``: add ocean redistribution to ipynb, add spherical harmonic calculations +* ``feat``: add date option to ncdf/hdf5 write programs +* ``fix``: in ``harmonics`` ``from_list`` separate date and sort +* ``feat``: get ``harmonics`` third dimension from shape +* ``feat``: add options to ``flatten`` and ``expand`` ``harmonics`` matrices or arrays +* ``docs``: updated ``README.md`` to have data repositories +* ``docs``: add more notes about spatial units and conversion from harmonics +* ``feat``: include file of load love numbers `(Han and Wahr, 1995) `_ +* ``docs``: update html link to `Martin Mohlenkamp's uguide `_ +* ``docs``: add link to love numbers to getting started doc +* ``feat``: add more legendre and harmonics programs +* ``docs``: updated readme and documentation +* ``docs``: update html links to https +* ``feat``: add webdav program for retrieving PO.DAAC credentials +* ``feat``: add ``netrc`` option to PO.DAAC sync program +* ``feat``: ``netrc`` file can be appended from webdav program +* ``docs``: updated README, getting started and program documentation +* ``feat``: add additional date and conversion programs +* ``feat``: output list of filenames if using ``from_list()`` in ``harmonics`` +* ``fix``: subset and index can output the harmonics filename if set +* ``fix``: increase timeout to 2 minutes in ``podaac_grace_sync.py`` +* ``docs``: Add install with pip from git to readme +* ``docs``: update readme to note CC4 license for non-code content +* ``feat``: Add ``spatial`` class for reading, writing and processing grids +* ``feat``: additional capablities within ``spatial`` class +* ``docs``: update ``spatial`` class documentation +* ``refactor``: reorganize code structure +* ``docs``: update documentation for new code structure +* ``fix``: use dependencies from ``requirements.txt`` in ``setup.py`` +* ``fix``: include files within scripts directory in ``setup.py`` +* ``feat``: add CLI spatial and regression programs +* ``feat``: add ``zeros_like`` to ``harmonics`` class +* ``docs``: update documentation for added modules +* ``docs``: update readme for added modules +* ``feat``: add GRACE spatial error program +* ``docs``: update documentation and readme for changes +* ``feat``: update setup to mark new version +* ``docs``: add note about John to citations +* ``docs``: add function docstrings +* ``feat``: add back level-1b dealiasing sync programs +* ``docs``: update documentation and readme +* ``feat``: add case insensitive file search +* ``feat``: update mask if no ``fill_value`` in ``spatial`` +* ``feat``: update jupyter notebook to use ``spatial`` class in plot +* ``ci``: add github actions for continuous integration +* ``ci``: ``flake8`` linter updates for CI +* ``fix``: add ``scipy`` to ``environment.yml`` and ``requirements.txt`` +* ``feat``: add github dependency for ``geocenter`` to requirements +* ``fix``: remove dependency links in lieu of requirements +* ``ci``: add github actions for continuous integration +* ``test``: add spherical harmonic conversion test +* ``fix``: update regular expressions for ``flake8`` compat +* ``test``: add spherical harmonic conversion test +* ``test``: add test for downloading and reading GRACE data +* ``refactor``: move build opener to ``utilities`` routines +* ``docs``: update readme and documentation for utilities +* ``test``: add more tests for downloading and reading GRACE data +* ``feat``: use ``podaac_list()`` within ``podaac_grace_sync`` program +* ``feat``: ``read_GRACE_harmonics()`` can read ``bytesIO`` objects +* ``feat``: added GFZ ftp download and read test +* ``feat``: added compression options to ``harmonic`` and ``spatial`` file input +* ``fix``: ``flake8`` updates for ``python3`` +* ``fix``: update legendre polynomial programs for divide by zero in differentials +* ``fix``: add ``KeyError`` to ``from_dict`` +* ``fix``: ``flake8`` updates for python3 +* ``feat``: use ``utilities`` to define path to load love numbers file +* ``feat``: include data in package +* ``feat``: Update ``MANIFEST.in`` for included data +* ``ci``: add ``macos-latest`` to testing strategy +* ``ci``: will use homebrew package manager to install dependencies +* ``feat``: add podaac sync within jupyter notebook with magics +* ``refactor``: reorganize base directory: .binder and notebooks +* ``test``: calculate test coverage +* ``test``: upload coverage file in github actions +* ``feat``: include GSFC GRACE mascons in dates +* ``fix``: update python language support +* ``fix``: use ``urllib`` from ``gravity_toolkit`` ``utilities`` +* ``feat``: generalize build opener for different earthdata instances +* ``refactor``: switching to main branch as primary +* ``chore``: update links to main branch in readme and docs +* ``feat``: use ``argparse`` to set parameters +* ``feat``: ``abspath`` and ``expanduser`` in ``argparse`` paths +* ``feat``: add ``spatial`` ascii header option +* ``fix``: update ``spatial`` ``mean`` to catch more exceptions +* ``feat``: add more routines to ``spatial`` class `(#17) `_ +* ``refactor``: update podaac programs to simplify args `(#17) `_ +* ``feat``: add updated CNES sync program `(#18) `_ +* ``feat``: add GFZ ICGEM list for static models `(#18) `_ +* ``docs``: update documentation `(#18) `_ +* ``feat``: added more love number options and from gfc for mean files `(#19) `_ +* ``feat``: add `Sutterley and Velicogna geocenter `_ download `(#19) `_ +* ``feat``: updated SLR geocenter for new solutions from Minkang Cheng `(#19) `_ +* ``feat``: added download for satellite laser ranging (SLR) files from UTCSR `(#19) `_ +* ``feat``: add first public versions of mascon programs `(#20) `_ +* ``docs``: add documentation outlining programs `(#20) `_ +* ``docs``: add documentation outlining grace/grace-fo processing `(#20) `_ +* ``docs``: add blurbs to add Yara's comments `(#20) `_ +* ``docs``: use restructuredtext for background `(#20) `_ +* ``refactor``: generalize utilities for downloading from JPL drive (PO.DAAC/ECCO) `(#21) `_ +* ``feat``: can calculate means (``spatial`` and ``harmonic``) for a subset `(#21) `_ +* ``feat``: add pressure harmonics routines for OBP/surface pressure `(#21) `_ +* ``fix``: update requirements `(#21) `_ +* ``feat``: added ``time`` module to be able to convert delta times `(#22) `_ +* ``refactor``: merged ``convert_calendar_decimal`` and ``convert_julian`` with ``time`` module `(#22) `_ +* ``feat``: update netCDF4 and HDF5 programs for attributes and references `(#22) `_ +* ``docs``: update documentation `(#22) `_ +* ``test``: add test module for time programs `(#22) `_ +* ``feat``: update netCDF and HDF5 programs to read from memory `(#23) `_ +* ``feat``: update ``ftp_list`` and read for protected ftp `(#23) `_ +* ``test``: add ftp connection check `(#23) `_ +* ``refactor``: update ftp programs to use ``utilities`` `(#24) `_ +* ``feat``: add even rounding utility `(#24) `_ +* ``refactor``: moved pressure harmonics function to ``model_harmonics`` `(#24) `_ +* ``feat``: use ``harmonics`` class as output from SH generators `(#25) `_ +* ``feat``: add piecewise regression routine for breakpoint analysis `(#26) `_ +* ``docs``: add harmonic triangle plot notebook +* ``docs``: add regression plots to spatial map notebook +* ``docs``: use ``sphinx_rtd_theme`` for documentation +* ``docs``: change some markdown docs to rst +* ``feat``: add date parser for cases when only a date and no units +* ``docs``: add badges to examples documentation +* ``feat``: add kfactor calculation program to ``spatial`` class +* ``feat``: add degree amplitude function to ``harmonics`` class +* ``fix``: prevent warnings with python3 compatible regex strings in nc/hdf5 read +* ``test``: add point mass test +* ``fix``: modify legendre case with underflow +* ``docs``: update references in point harmonics programs +* ``feat``: added ``replace_masked`` to replace masked values in ``spatial`` data +* ``fix``: in ``spatial`` broadcast mask over third dimension +* ``refactor``: changed remove index to files with specified formats `(#27) `_ +* ``feat``: added generic reader, generic writer and write to list functions `(#27) `_ +* ``feat``: added ``adjust_months`` function to fix "special" months cases `(#27) `_ +* ``feat``: include geocenter read program for coefficents from Sean `(#27) `_ +* ``fix``: replaced ``numpy`` bool to prevent deprecation warning `(#27) `_ +* ``refactor``: generalize kwargs to ascii, netCDF4 and HDF5 readers and writers +* ``refactor``: moved model mascon programs to ``model_harmonics`` +* ``refactor``: merged read ICGEM harmonics with ``geoid_toolkit`` reader +* ``docs``: add contribution guidelines `(#28) `_ +* ``docs``: more documentation standardization `(#28) `_ +* ``ci``: remove python 3.5 from tests `(#28) `_ +* ``docs``: documentation standardization +* ``docs``: update documentation `(#29) `_ +* ``feat``: set a default netrc file and check access `(#29) `_ +* ``feat``: default credentials from environmental variables `(#29) `_ +* ``docs``: add rst format citations to documentation `(#30) `_ +* ``fix``: update CSR SLR function (thanks @hulecom for pointing out the file format change) `(#30) `_ +* ``fix``: update setup file to check if ``readthedocs`` `(#30) `_ +* ``feat``: adding more SLR low-degree replacements `(#31) `_ +* ``docs``: update documentation for SLR harmonics `(#31) `_ +* ``feat``: add parser object for removing commented or empty lines `(#32) `_ +* ``feat``: add GFZ SLR solutions for C20/C21+S21/C30 `(#33) `_ +* ``feat``: add GFZ GravIS geocenter solutions `(#33) `_ +* ``docs``: update documentation for GFZ solutions `(#33) `_ +* ``fix``: update grace input months for GFZ SLR `(#33) `_ +* ``feat``: added option for connection timeout to sync programs `(#34) `_ +* ``fix``: define int/float precision to prevent deprecation warning `(#35) `_ +* ``feat``: use try/except for retrieving netrc credentials `(#35) `_ +* ``feat``: add figshare secure FTP uploader to utilities `(#35) `_ +* ``ci``: use cartopy no-binary in build `(#35) `_ +* ``fix``: use first value in requirements in setup `(#35) `_ +* ``ci``: brew install ``pkg-config`` `(#35) `_ +* ``ci``: use older proj7 in brew install for cartopy `(#35) `_ +* ``ci``: add LD and CPP flags for proj7 `(#35) `_ +* ``ci``: add cython to installations `(#35) `_ +* ``ci``: ``ACCEPT_USE_OF_DEPRECATED_PROJ_API_H`` `(#35) `_ +* ``ci``: set pkg-config path `(#35) `_ +* ``refactor``: switch from parameter files to argparse arguments `(#36) `_ +* ``fix``: degree spacing in spatial programs `(#36) `_ +* ``fix``: cycles in regression program `(#38) `_ +* ``fix``: documentation for spatial programs `(#38) `_ +* ``refactor``: simplified file exports using wrappers in harmonics `(#39) `_ +* ``fix``: gfc format in ``from_file`` wrapper in harmonics `(#39) `_ +* ``fix``: format for mean files `(#40) `_ +* ``docs``: clenshaw summation citations `(#40) `_ +* ``feat``: Add 3-hour AOD interval for RL06 `#37 `_ `(#41) `_ +* ``feat``: release monthly dealiasing (for CSR GAA etc) `(#41) `_ +* ``fix``: inputs to AOD-corrected SLR geocenter coefficients `(#41) `_ +* ``feat``: output index file for monthly dealiasing SHM files `(#42) `_ +* ``feat``: added check if needing to interpolate love numbers `(#42) `_ +* ``feat``: added path to default land-sea mask for mass redistribution `(#42) `_ +* ``feat``: added option to output mean harmonics in gfc format `(#43) `_ +* ``refactor``: rename monthly mean dealiasing program `(#43) `_ +* ``feat``: output uncalibrated spherical harmonic errors (eclm and eslm) `(#43) `_ +* ``fix``: remove choices for argparse processing centers `(#43) `_ +* ``fix``: remove defaults in monthly dealiasing `(#43) `_ +* ``refactor``: no default processing center `(#43) `_ +* ``fix``: require processing center argument `(#43) `_ +* ``feat``: add months option to gfz dealiasing sync `(#43) `_ +* ``feat``: add harmonic resolution calculator `(#44) `_ + +.. __: https://github.com/tsutterley/gravity-toolkit/releases/tag/v1.0.2.0 diff --git a/doc/source/release_notes/release-v1.0.2.4.rst b/doc/source/release_notes/release-v1.0.2.4.rst new file mode 100644 index 00000000..831cd9fc --- /dev/null +++ b/doc/source/release_notes/release-v1.0.2.4.rst @@ -0,0 +1,62 @@ +.. _release-v1.0.2.4: + +===================== +`Release v1.0.2.4`__ +===================== + +* ``fix``: uncertainties for SLR CS21 and CS22 +* ``feat``: add option for setting input format of the mascon files `(#46) `_ +* ``feat``: add averaging kernel program `(#46) `_ +* ``feat``: time-variable gravity data from COST-G, GRAZ, SWARM `#37 `_ `(#47) `_ +* ``feat``: time-variable gravity data from COST-G GRAZ, SWARM `#37 `_ `(#47) `_ +* ``feat``: need to add sync programs for all products `(#47) `_ +* ``refactor``: call read ICGEM from read gfc `(#47) `_ +* ``fix``: Swarm strings and titles `(#47) `_ +* ``docs``: update documentation to add additional information `(#47) `_ +* ``feat``: add sync programs for Swarm and GRACE COST-G `(#47) `_ +* ``feat``: add ITSG GRAZ GRACE sync `(#47) `_ +* ``fix``: accidental copy paste `(#47) `_ +* ``fix``: output index in separate loop for COST-G `(#47) `_ +* ``test``: add tests for COST-G, GRAZ and Swarm gfc files `(#47) `_ +* ``test``: use fixture to download geocenter files `(#47) `_ +* ``refactor``: merged integration and fourier harmonics programs ``fix``: use fill values for input ascii files in convert_harmonics ``fix``: update grid attributes after allocating for data in combine_harmonics ``ci``: install proj from source for cartopy dependency ``ci``: install devel cartopy from repo `(#48) `_ +* ``refactor``: adding new tools module to simplify notebooks `(#49) `_ +* ``feat``: adding new time functions for to/from grace months `(#49) `_ +* ``docs``: add documentation for tools `(#49) `_ +* ``fix``: adjust months if final in time series `(#49) `_ +* ``fix``: adjustable minimum in gaussian weights +* ``refactor``: slim requirements `(#50) `_ +* ``refactor``: using python logging for handling verbose output `(#51) `_ +* ``feat``: add version program and add package __version__ attribute `(#51) `_ +* ``feat``: add more remove file options in GRACE maps `(#52) `_ +* ``fix``: remove file choices in calc mascon `(#52) `_ +* ``fix``: logging ``CRITICAL`` +* ``fix``: logging with filenames +* ``feat``: grid conversion routines for publicly available mascon solutions `(#53) `_ +* ``test``: attempt to download cost-g from http `(#53) `_ +* ``refactor``: use logging to print multiprocessing exceptions +* ``refactor``: netCDF4 and HDF5 input programs `(#54) `_ +* ``ci``: update for geoid-toolkit dependencies `(#54) `_ +* ``docs``: pin docutils to 0.18 `(#54) `_ +* ``fix``: modify legendre normalization to prevent high degree overflows `(#55) `_ +* ``test``: add legendre test `(#55) `_ +* ``test``: add associated legendre polynomial test `(#56) `_ +* ``fix``: HDF5 and netCDF4 io for single time case `(#56) `_ +* ``fix``: format for index in notebooks `(#56) `_ +* ``feat``: use new GSFC weekly 5x5s for CS2 and C50 `(#57) `_ +* ``refactor``: create geocenter program for reading and operating `(#58) `_ +* ``test``: include new geocenter class `(#58) `_ +* ``feat``: add load love numbers for unit conversion `(#58) `_ +* ``feat``: add mean function to geocenter `(#58) `_ +* ``refactor``: rename SLF geocenter reader `(#58) `_ +* ``feat``: add more geocenter operations `(#58) `_ +* ``feat``: add geocenter figure programs from Sutterley and Velicogna (2019) +* ``feat``: update geocenter plot programs for AGU `(#60) `_ +* ``feat``: added netCDF4 reader for UCI iteration files `(#60) `_ +* ``feat``: added custom colormap function for some common scales `(#60) `_ +* ``feat``: added UNITS list option for converting from custom units `(#60) `_ +* ``feat``: option to specify a specific geocenter correction file `(#61) `_ +* ``feat``: can use variable loglevels for verbose output `(#61) `_ +* ``fix``: fix default file prefix to include center and release information `(#61) `_ + +.. __: https://github.com/tsutterley/gravity-toolkit/releases/tag/v1.0.2.4 diff --git a/doc/source/release_notes/release-v1.0.2.5.rst b/doc/source/release_notes/release-v1.0.2.5.rst new file mode 100644 index 00000000..c08a4496 --- /dev/null +++ b/doc/source/release_notes/release-v1.0.2.5.rst @@ -0,0 +1,38 @@ +.. _release-v1.0.2.5: + +===================== +`Release v1.0.2.5`__ +===================== + +* ``fix``: add try/except for read_GRACE_geocenter import +* ``feat``: S3 access using PO.DAAC cumulus to address `#59 `_ `(#63) `_ +* ``fix``: update readable granule for L1A/B grav +* ``fix``: for now use podaac drive provider +* ``docs``: updated docstrings to numpy documentation format `(#65) `_ +* ``docs``: use autodoc to build documentation `(#65) `_ +* ``feat``: new internal ncdf/hdf5 read/write within harmonics and spatial classes `(#65) `_ +* ``feat``: add citations and references to read_GIA_model `(#65) `_ +* ``docs``: update headers to remove deprecated ncdf/hdf5 read/write modules `(#65) `_ +* ``refactor``: moved Load love number wrapper function to within read `(#66) `_ +* ``feat``: change badge for pangeo to aws us-west-2 for podaac cloud access `(#66) `_ +* ``fix``: pin markupsafe to 2.0.1 to prevent soft_unicode error `(#66) `_ +* ``fix``: change function name back to load_love_numbers `(#67) `_ +* ``docs``: update history in headers `(#67) `_ +* ``test``: try docker build with windows to address `#64 `_ `(#68) `_ +* ``fix``: include utf-8 encoding in reads to be windows compliant `(#68) `_ +* ``fix``: only sync newsletters for mission of interest +* ``fix``: spatial field mapping for output +* ``fix``: mask in sea level equation +* ``feat``: add from_GIA to harmonics class `(#69) `_ +* ``feat``: prepare CMR queries for version 1 of RL06 `(#69) `_ +* ``fix``: expansion and squeezing of mask variable if None `(#69) `_ +* ``feat``: add option for L2 version in sync programs `(#69) `_ +* ``fix``: improved passing of filename attribute in harmonic objects `(#70) `_ +* ``fix``: include filename when copying spatial objects `(#70) `_ +* ``refactor``: always try syncing from both grace and grace-fo missions `(#71) `_ +* ``feat``: added AW13 models using IJ05-R2 ice history `(#71) `_ +* ``feat``: allow input ascii harmonic files to have additional columns `(#71) `_ +* ``docs``: update environment file `(#71) `_ +* ``fix``: index using granules `(#71) `_ + +.. __: https://github.com/tsutterley/gravity-toolkit/releases/tag/v1.0.2.5 diff --git a/doc/source/release_notes/release-v1.0.2.6.rst b/doc/source/release_notes/release-v1.0.2.6.rst new file mode 100644 index 00000000..3609aeee --- /dev/null +++ b/doc/source/release_notes/release-v1.0.2.6.rst @@ -0,0 +1,14 @@ +.. _release-v1.0.2.6: + +==================== +`Release v1.0.2.6`__ +==================== + +* ``docs``: use argparse descriptions within sphinx documentation `(#72) `_ +* ``feat``: initial version of public geocenter programs `(#73) `_ +* ``feat``: output full citation for each GIA model group `(#73) `_ +* ``docs``: update background and add geocenter section `(#73) `_ +* ``feat``: added notebook for visualizing harmonic errors `(#74) `_ +* ``feat``: add changes for uploading to pypi `(#75) `_ + +.. __: https://github.com/tsutterley/gravity-toolkit/releases/tag/1.0.2.6 diff --git a/doc/source/release_notes/release-v1.0.2.7.rst b/doc/source/release_notes/release-v1.0.2.7.rst new file mode 100644 index 00000000..aaa4509f --- /dev/null +++ b/doc/source/release_notes/release-v1.0.2.7.rst @@ -0,0 +1,27 @@ +.. _release-v1.0.2.7: + +==================== +`Release v1.0.2.7`__ +==================== + +* ``fix``: expand mask variable within if statement `(#76) `_ +* ``fix``: place ipython and tkinter imports within try/except `(#77) `_ +* ``fix``: remove cartopy for slimmer build `(#78) `_ +* ``fix``: create mask for output gridded variables `(#79) `_ +* ``refactor``: set plot tick formatter to not use offsets `(#79) `_ +* ``docs``: updated structure of documentation `(#80) `_ +* ``feat``: add program for overwriting the GRACE/GRACE-FO index `(#81) `_ +* ``feat``: made creating the spatial sensitivity kernel optional to improve compute time `(#81) `_ +* ``refactor``: moved regular expression function to utilities `(#81) `_ +* ``feat``: Dynamically select newest version of granules for index `(#82) `_ +* ``feat``: include geocenter land sea in data `(#83) `_ +* ``feat``: add GSFC SLR 5x5 download function `(#85) `_ +* ``feat``: add logging for debugging level verbose output `(#85) `_ +* ``fix``: place index filename within try/except statement `(#85) `_ +* ``feat``: add option to replace degree 4 zonal harmonics with SLR `(#86) `_ +* ``fix``: version check for mission in GFZ ftp sync `(#87) `_ +* ``feat``: add spatial gradient programs `(#87) `_ +* ``feat``: added more time parsing for longer periods `(#88) `_ +* ``refactor``: use UCI for geocenter solutions (SLR still valid) `(#88) `_ + +.. __: https://github.com/tsutterley/gravity-toolkit/releases/tag/1.0.2.7 diff --git a/doc/source/release_notes/release-v1.1.0.rst b/doc/source/release_notes/release-v1.1.0.rst new file mode 100644 index 00000000..4c936ef0 --- /dev/null +++ b/doc/source/release_notes/release-v1.1.0.rst @@ -0,0 +1,29 @@ +.. _release-v1.1.0: + +================== +`Release v1.1.0`__ +================== + +* ``feat``: adding CMR queries for TN files `(#89) `_ +* ``docs``: use sphinx-argparse v0.4.0 with exec search `(#89) `_ +* ``refactor``: use f-strings for formatting verbose or ascii output `(#89) `_ +* ``fix``: no gzip of TN files in cumulus program `(#91) `_ +* ``fix``: expose GSFC SLR 5x5 url as option `(#91) `_ +* ``refactor``: camel_case updates for `#90 `_ `(#91) `_ +* ``refactor``: comment format to try to match flake8 styling for `#90 `_ `(#92) `_ +* ``refactor``: implicit import as gravtk `(#93) `_ +* ``feat``: add git utilities for managing repositories `(#93) `_ +* ``test``: add test for comparing GIA reads `(#93) `_ +* ``refactor``: use attributes kwards for output to nc/hdf5 `(#93) `_ +* ``feat``: add netCDF4/HDF5 source attribute to harmonics and spatial classes `(#93) `_ +* ``docs``: slimmer build to prevent overutilization of resources `(#95) `_ +* ``docs``: remove .py from function titles `#96 `_ +* ``feat``: can iterate over harmonics, spatal and geocenter objects `(#97) `_ +* ``fix``: don't include ``get_git_revision_hash`` in output files `(#97) `_ +* ``fix``: set default GIA parameters, title, reference and url as None `(#97) `_ +* ``fix``: iteration over slm harmonics `(#97) `_ +* ``refactor``: SLR, plm and time series functions `(#98) `_ +* ``test``: single implicit import of gravity toolkit `(#98) `_ +* ``chore``: increase version number `(#98) `_ + +.. __: https://github.com/tsutterley/gravity-toolkit/releases/tag/1.1.0 diff --git a/doc/source/release_notes/release-v1.2.0.rst b/doc/source/release_notes/release-v1.2.0.rst new file mode 100644 index 00000000..0f81a432 --- /dev/null +++ b/doc/source/release_notes/release-v1.2.0.rst @@ -0,0 +1,30 @@ +.. _release-v1.2.0: + +================== +`Release v1.2.0`__ +================== + +* ``refactor``: new repo name following `#84 `_ `(#99) `_ +* ``docs``: update docstrings `(#100) `_ +* ``fix``: verify warnings have type and filtered after `(#101) `_ +* ``feat``: added function to retrieve named units `(#102) `_ +* ``fix``: set custom units as top option in if/else statements `(#102) `_ +* ``feat``: added wrapper function for smoothing and converting to output units `(#102) `_ +* ``test``: add test for getting units `(#102) `_ +* ``fix``: expand harmonics case where data is a single degree `(#103) `_ +* ``fix``: harmonics case where maximum spherical harmonic degree is 0 `(#103) `_ +* ``fix``: units case where maximum spherical harmonic degree is 0 `(#103) `_ +* ``fix``: load love number case with maximum spherical harmonic degree is 0 `(#103) `_ +* ``feat``: add PREM hard and soft sediment love numbers `(#104) `_ +* ``feat``: data class for load love numbers with attributes for model `(#105) `_ +* ``feat``: customizable file-level attributes to netCDF4 and HDF5 `(#106) `_ +* ``feat``: add root attributes to output netCDF4 and HDF5 files `(#107) `_ +* ``fix``: only attempt to squeeze from final dimension in harmonics objects `(#108) `_ +* ``feat``: add indexing of filenames to object iterators `(#109) `_ +* ``feat``: new ``scaling_factors`` inheritance of ``spatial`` class `(#110) `_ +* ``refactor``: simplified unit factors in spherical caps and disc loads `(#111) `_ +* ``fix``: case insensitive searching for HDF5 and netCDF4 GIA attributes `(#111) `_ +* ``docs``: slimmer builds by placing imports within try/except `(#111) `_ +* ``refactor``: remove deprecated functions `(#112) `_ + +.. __: https://github.com/tsutterley/gravity-toolkit/releases/tag/1.2.0 diff --git a/doc/source/release_notes/release-v1.2.1.rst b/doc/source/release_notes/release-v1.2.1.rst new file mode 100644 index 00000000..fb215354 --- /dev/null +++ b/doc/source/release_notes/release-v1.2.1.rst @@ -0,0 +1,60 @@ +.. _release-v1.2.1: + +================== +`Release v1.2.1`__ +================== + +* ``feat``: add global dealiasing uplift program `(#113) `_ +* ``refactor``: in monthly dealiasing, read data into flattened ``harmonics`` objects `(#113) `_ +* ``feat``: debug-level logging of member names and header lines `(#113) `_ +* ``feat``: add ``extend_matrix`` function `(#113) `_ +* ``feat``: add ``wrap_longitudes`` to ``tools`` `(#113) `_ +* ``refactor``: convert ``shape`` and ``ndim`` to ``harmonics`` and ``spatial`` class properties `(#113) `_ +* ``refactor``: updated inputs to ``spatial`` ``from_ascii`` function `(#113) `_ +* ``fix``: scale and dimensions `(#113) `_ +* ``fix``: ``spatial`` ``extend_matrix`` `(#113) `_ +* ``feat``: add mapping programs from Sutterley et al. 2019 and 2020 `(#114) `_ +* ``fix``: output file append in regress_grace_maps.py `(#114) `_ +* ``refactor``: merge regional plot programs into single program `(#114) `_ +* ``docs``: add documentation for graphing programs `(#114) `_ +* ``fix``: place cmap set in try/except `(#114) `_ +* ``refactor``: add descriptive file-level attributes to output netCDF4/HDF5 files `(#115) `_ +* ``feat``: include option to not compensate for elastic deformation for `#37 `_ `(#115) `_ +* ``feat``: added regex formatting for CNES GRGS harmonics `(#115) `_ +* ``feat``: added functions for getting unit attributes for known types `(#116) `_ +* ``docs``: improve typing for variables in docstrings `(#116) `_ +* ``feat``: add initial geostrophic current program `(#117) `_ +* ``feat``: add angular velocity of the Earth to ``units`` `(#117) `_ +* ``fix``: set ``case_insensitive_filename`` to ``None`` if filename is empty `(#117) `_ +* ``feat``: add solver option to geocenter and mascons `(#118) `_ +* ``feat``: allow option ``0`` in ``combine_harmonics.py`` for no unit conversion `(#118) `_ +* ``fix``: ``remove_label`` in ``tools.py`` `(#118) `_ +* ``fix``: frame in geostrophic currents notebook `(#118) `_ +* ``fix``: allow love numbers to be None for custom units case `(#119) `_ +* ``fix``: headers in plot script documentation `(#119) `_ +* ``feat``: add notes about shida numbers `(#119) `_ +* ``fix``: podaac now has different openers for s3 and data endpoints `(#120) `_ +* ``feat``: add piecewise program `(#120) `_ +* ``feat``: add additional fit term options to regression programs `(#120) `_ +* ``docs``: remove binder links :( `(#120) `_ +* ``fix``: add podaac cumulus test and skip drive `(#120) `_ +* ``fix``: bump GFZ GravIS files to Release-03 `(#120) `_ +* ``feat``: split S2 tidal aliasing terms into GRACE and GRACE-FO eras `(#121) `_ +* ``feat``: add reify decorator for evaluation of properties `(#121) `_ +* ``refactor``: use formatting for reading from date file `(#121) `_ +* ``refactor``: use ``pathlib`` to define and operate on paths `(#123) `_ +* ``feat``: split S2 tidal aliasing terms into GRACE and GRACE-FO eras `(#123) `_ +* ``fix``: remove deprecated podaac drive sync programs `(#123) `_ +* ``docs``: remove references to deprecated sync programs `(#123) `_ +* ``refactor``: use fit module for getting tidal aliasing terms `(#125) `_ +* ``feat``: add functions to retrieve and revoke Earthdata tokens `(#125) `_ +* ``feat``: more operatations on spatial error if in possible data keys `(#125) `_ +* ``docs``: scrub PO.DAAC Drive and WebDAV `(#126) `_ +* ``fix``: append amplitude and phase titles when creating flags `(#127) `_ +* ``refactor``: modified custom units in spherical caps and disc loads `(#129) `_ +* ``fix``: GRACE/GRACE-FO months in drift function for `#131 `_ `(#132) `_ +* ``feat``: can choose different tidal aliasing periods `(#132) `_ +* ``feat``: add timescale class for converting between time scales `(#133) `_ +* ``feat``: add functions for retrieving leap seconds from NIST or IERF servers `(#133) `_ + +.. __: https://github.com/tsutterley/gravity-toolkit/releases/tag/1.2.1 diff --git a/doc/source/release_notes/release-v1.2.2.rst b/doc/source/release_notes/release-v1.2.2.rst new file mode 100644 index 00000000..4df8255d --- /dev/null +++ b/doc/source/release_notes/release-v1.2.2.rst @@ -0,0 +1,47 @@ +.. _release-v1.2.2: + +================== +`Release v1.2.2`__ +================== + +* ``feat``: add land_stokes function to parallel ocean_stokes `(#138) `_ +* ``docs``: update font and style of flowchart `(#138) `_ +* ``feat``: add zorder to quick mascon plot `(#138) `_ +* ``fix``: environment for auto update `(#138) `_ +* ``feat``: add string representation of major classes `(#139) `_ +* ``feat``: add raster program for GRACE projected fields `(#139) `_ +* ``ci``: bump versions of imported actions `(#139) `_ +* ``ci``: use mamba for builds `(#140) `_ +* ``docs``: use micromamba for RTD builds `(#140) `_ +* ``fix``: check that collection metadata urls exist `(#141) `_ +* ``fix``: don't restrict version number to a set list of presently available `(#141) `_ +* ``feat``: output netCDF4 files for all geocenter runs `(#142) `_ +* ``fix``: plot S11 `(#142) `_ +* ``fix``: prevent double printing of filenames when using debug `(#143) `_ +* ``refactor``: simplify I-matrix and G-matrix calculations `(#143) `_ +* ``feat``: add widget for setting endpoint for accessing PODAAC data `(#145) `_ +* ``fix``: added check to verify access to s3 buckets `(#145) `_ +* ``feat``: add Greenland 5 map code `(#145) `_ +* ``fix``: autoupdate files `(#145) `_ +* ``fix``: add ssl context update for deprecation `(#145) `_ +* ``fix``: spelling mistakes `(#145) `_ +* ``fix``: place time and month variables in try/except block `(#145) `_ +* ``feat``: added argument for products in CMR shortname query `(#145) `_ +* ``fix``: increase mask buffer to twice the smoothing radius in raster `(#145) `_ +* ``refactor``: use wrapper to importlib for optional dependencies `(#146) `_ +* ``feat``: make classes subscriptable and allow item assignment `(#146) `_ +* ``feat``: add lomb scargle wrapper program `(#146) `_ +* ``refactor``: remove timescale class and leap second calculations `(#146) `_ +* ``fix``: update CMR search utility to replace deprecated scrolling `(#147) `_ +* ``fix``: endpoint for TN-13 and TN-14 is now documentation `(#148) `_ +* ``feat``: add function to scrape GSFC website for GRACE mascons `(#149) `_ +* ``fix``: deprecated widget object copies for `#150 `_ `(#151) `_ +* ``fix``: add polar argument for x == +/-1 to prevent drift `(#151) `_ +* ``feat``: allow reading love numbers where degree is infinite `(#151) `_ +* ``fix``: check if the GRACE/GRACE-FO files are gfc format for `#152 `_ `(#153) `_ +* ``docs``: use ``sphinxcontrib-bibtex`` for citations `(#154) `_ +* ``fix``: deprecated tick label resizing `(#155) `_ +* ``docs``: merge multiple bibtex citations together `(#156) `_ +* ``fix``: deprecated tick label resizing `(#156) `_ + +.. __: https://github.com/tsutterley/gravity-toolkit/releases/tag/1.2.2 diff --git a/doc/source/release_notes/release-v1.2.3.rst b/doc/source/release_notes/release-v1.2.3.rst new file mode 100644 index 00000000..152fb85e --- /dev/null +++ b/doc/source/release_notes/release-v1.2.3.rst @@ -0,0 +1,10 @@ +.. _release-v1.2.3: + +================== +`Release v1.2.3`__ +================== + +* ``chore``: bump version to ``1.2.3`` +* ``fix``: update ``MANIFEST.in`` to include version and requirements + +.. __: https://github.com/tsutterley/gravity-toolkit/releases/tag/1.2.3 diff --git a/doc/source/release_notes/release-v1.2.4.rst b/doc/source/release_notes/release-v1.2.4.rst new file mode 100644 index 00000000..e2bcc939 --- /dev/null +++ b/doc/source/release_notes/release-v1.2.4.rst @@ -0,0 +1,13 @@ +.. _release-v1.2.4: + +================== +`Release v1.2.4`__ +================== + +* ``test``: add check for reading lsmasks `(#157) `_ +* ``ci``: verify that ``git-lfs`` is used `(#157) `_ +* ``docs``: add badge for conda-forge `(#157) `_ +* ``chore``: bump version to ``1.2.4`` +* ``docs``: add ``repository-artifact`` to ``CITATION.cff`` + +.. __: https://github.com/tsutterley/gravity-toolkit/releases/tag/1.2.4 diff --git a/doc/source/release_notes/release-v1.2.5.rst b/doc/source/release_notes/release-v1.2.5.rst new file mode 100644 index 00000000..41d83d97 --- /dev/null +++ b/doc/source/release_notes/release-v1.2.5.rst @@ -0,0 +1,34 @@ +.. _release-v1.2.5: + +================== +`Release v1.2.5`__ +================== + +* ``feat``: added options to run SLF from input spatial fields `(#158) `_ +* ``fix``: add netCDF4 to default requirements `(#158) `_ +* ``fix``: copy latitude and longitude as float64 for numpy 2.0 stability `(#158) `_ +* ``feat``: added option to set the density of water in g/cm^3 `(#158) `_ +* ``fix``: earthdata link for `#160 `_ `(#162) `_ +* ``fix``: change default endpoint in cumulus to ``data`` for `#161 `_ `(#162) `_ +* ``ci``: add paths to check if needing to run tests `(#162) `_ +* ``docs``: notebooks in documentation `(#163) `_ +* ``fix``: docstring for UCI geocenter files +* ``refactor``: organize scripts into subdirectories `(#165) `_ +* ``docs``: add logo and color scheme `(#165) `_ +* ``docs``: add annotations `(#165) `_ +* ``docs``: add code of conduct `(#165) `_ +* ``docs``: add project pages `(#165) `_ +* ``refactor``: use ``pyproject.toml`` for builds `(#165) `_ +* ``docs``: adjust ``style.css`` +* ``docs``: add spherical harmonic plots `(#166) `_ +* ``docs``: add ``cartopy`` to ``environment.yml`` `(#166) `_ +* ``ci``: use pixi for builds `(#167) `_ +* ``docs``: use pixi for builds `(#167) `_ +* ``refactor``: GFZ ISDC ftp server is being retired `(#168) `_ +* ``fix``: Update pixi.lock `(#168) `_ +* ``docs``: fix testing description +* ``docs``: fix contributors (now markdown) +* ``fix``: switch ``from_gfz`` to https as ftp server is retired `(#169) `_ +* ``chore``: bump version to ``1.2.5`` + +.. __: https://github.com/tsutterley/gravity-toolkit/releases/tag/1.2.5 diff --git a/doc/source/user_guide/NASA-Earthdata.ipynb b/doc/source/user_guide/NASA-Earthdata.ipynb new file mode 100644 index 00000000..eaaab294 --- /dev/null +++ b/doc/source/user_guide/NASA-Earthdata.ipynb @@ -0,0 +1,153 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "4c0ed22c", + "metadata": {}, + "source": [ + "# NASA Earthdata\n", + "\n", + "## NASA Data Distribution Centers\n", + "\n", + "The NASA Earth Science Data Information Systems Project funds and operates\n", + "[12 Distributed Active Archive Centers (DAACs)](https://earthdata.nasa.gov/about/daacs) throughout the United States.\n", + "These centers have recently transitioned from ftp to https servers.\n", + "The https updates are designed to increase performance and improve security during data retrieval.\n", + "NASA Earthdata uses [OAuth2](https://wiki.earthdata.nasa.gov/pages/viewpage.action?pageId=71700485), an approach to authentication that protects your personal information.\n", + "\n", + "- \n", + "- \n", + "\n", + "## PO.DAAC\n", + "\n", + "The [Physical Oceanography Distributed Active Archive Center (PO.DAAC)](https://podaac.jpl.nasa.gov/)\n", + "provides data and related information pertaining to the physical processes and conditions of the global oceans,\n", + "including measurements of ocean winds, temperature, topography, salinity, circulation and currents, and sea ice.\n", + "PO.DAAC hosts\n", + "\n", + "PO.DAAC has [migrated its data archive to the Earthdata Cloud](https://podaac.jpl.nasa.gov/cloud-datasets/migration),\n", + "which is hosted in Amazon Web Services (AWS).\n", + "\n", + "```{tip}\n", + "If any problems contact JPL PO.DAAC support at [podaac@podaac.jpl.nasa.gov](mailto:podaac@podaac.jpl.nasa.gov)\n", + "or the NASA EOSDIS support team [support@earthdata.nasa.gov](mailto:support@earthdata.nasa.gov).\n", + "```\n", + "\n", + "### Steps to Sync from PO.DAAC\n", + "\n", + "1. [Register with NASA Earthdata Login system](https://urs.earthdata.nasa.gov/users/new)\n", + "2. [Sync time-variable gravity data using your Earthdata credentials](https://github.com/tsutterley/gravity-toolkit/blob/main/scripts/podaac_cumulus.py)\n", + "\n", + "Can also create a `.netrc` file for permanently storing NASA Earthdata credentials:\n", + "\n", + "```bash\n", + "echo \"machine urs.earthdata.nasa.gov login password \" >> ~/.netrc\n", + "chmod 0600 ~/.netrc\n", + "```\n", + "\n", + "Or set environmental variables for your NASA Earthdata credentials:\n", + "\n", + "```bash\n", + "export EARTHDATA_USERNAME=\n", + "export EARTHDATA_PASSWORD=\n", + "```\n", + "\n", + "## NASA Common Metadata Repository\n", + "\n", + "The NASA Common Metadata Repository (CMR) is a catalog of all data and service metadata records contained as part of NASA's Earth Observing System Data and Information System (EOSDIS).\n", + "Querying the CMR system is a way of quickly performing a search through the NASA Earthdata archive.\n", + "Basic queries for the granule names, PO.DAAC URLs and modification times of GRACE/GRACE-FO data are available through the {py:func}`cmr` routine in the {py:mod}`utilities` module.\n", + "For AWS instances in `us-west-2`, CMR queries can access URLs for S3 endpoints." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "cfe94ede", + "metadata": { + "tags": [ + "remove-input" + ] + }, + "outputs": [], + "source": [ + "from IPython import get_ipython\n", + "\n", + "def list_formatter(var, pp, *args, **kwargs):\n", + " pp.text(\"\\n\".join(var))\n", + "\n", + "plain = get_ipython().display_formatter.formatters['text/plain']\n", + "plain.for_type(list, list_formatter);\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "6a79f49e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-protected/GRACE_GSM_L2_GRAV_JPL_RL06/GSM-2_2002094-2002120_GRAC_JPLEM_BA01_0600\n", + "https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-protected/GRACE_GSM_L2_GRAV_JPL_RL06/GSM-2_2002122-2002138_GRAC_JPLEM_BA01_0600\n", + "https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-protected/GRACE_GSM_L2_GRAV_JPL_RL06/GSM-2_2002213-2002243_GRAC_JPLEM_BA01_0600\n", + "https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-protected/GRACE_GSM_L2_GRAV_JPL_RL06/GSM-2_2002244-2002273_GRAC_JPLEM_BA01_0600\n", + "https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-protected/GRACE_GSM_L2_GRAV_JPL_RL06/GSM-2_2002274-2002304_GRAC_JPLEM_BA01_0600\n", + "https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-protected/GRACE_GSM_L2_GRAV_JPL_RL06/GSM-2_2002305-2002334_GRAC_JPLEM_BA01_0600\n", + "https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-protected/GRACE_GSM_L2_GRAV_JPL_RL06/GSM-2_2002335-2002365_GRAC_JPLEM_BA01_0600\n", + "https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-protected/GRACE_GSM_L2_GRAV_JPL_RL06/GSM-2_2003001-2003031_GRAC_JPLEM_BA01_0600\n", + "https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-protected/GRACE_GSM_L2_GRAV_JPL_RL06/GSM-2_2003032-2003059_GRAC_JPLEM_BA01_0600\n", + "https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-protected/GRACE_GSM_L2_GRAV_JPL_RL06/GSM-2_2003060-2003090_GRAC_JPLEM_BA01_0600" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import gravity_toolkit as gravtk\n", + "ids,urls,mtimes = gravtk.utilities.cmr(mission='grace',\n", + " center='JPL', release='RL06', version='0', level='L2', product='GSM',\n", + " solution='BA01', provider='POCLOUD', endpoint='data', verbose=True)\n", + "display(urls[:10])" + ] + }, + { + "cell_type": "markdown", + "id": "83ad8927", + "metadata": { + "vscode": { + "languageId": "plaintext" + } + }, + "source": [ + "## Other Data Access Examples\n", + "\n", + "- [12 Distributed Active Archive Centers (DAACs)](https://earthdata.nasa.gov/about/daacs)\n", + "- [OAuth2](https://wiki.earthdata.nasa.gov/pages/viewpage.action?pageId=71700485)\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "py13", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/geocenter/calc_degree_one.py b/geocenter/calc_degree_one.py index bf0f5386..879caeaf 100755 --- a/geocenter/calc_degree_one.py +++ b/geocenter/calc_degree_one.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" calc_degree_one.py -Written by Tyler Sutterley (01/2025) +Written by Tyler Sutterley (07/2026) Calculates degree 1 variations using GRACE coefficients of degree 2 and greater, and ocean bottom pressure variations from ECCO and OMCT/MPIOM @@ -100,6 +100,15 @@ --ocean-file X: Index file for ocean model harmonics --mean-file X: GRACE/GRACE-FO mean file to remove from the harmonic data --mean-format X: Input data format for GRACE/GRACE-FO mean file + --remove-file X: Monthly files to be removed from the GRACE/GRACE-FO data + --remove-format X: Input data format for files to be removed + ascii + netCDF4 + HDF5 + index-ascii + index-netCDF4 + index-HDF5 + --redistribute-removed: redistribute removed mass fields over the ocean --iterative: Iterate degree one solutions -s X, --solver X: Least squares solver for degree one solutions inv: matrix inversion @@ -167,6 +176,9 @@ https://doi.org/10.1029/2007JB005338 UPDATE HISTORY: + Updated 07/2026: use np.einsum for spherical harmonic summations + can remove sets of harmonic files from the GRACE/GRACE-FO data + use np.radians to convert from degrees to radians Updated 01/2025: fixed deprecated tick label resizing Updated 06/2024: use wrapper to importlib for optional dependencies Updated 10/2023: generalize mission variable to be GRACE/GRACE-FO @@ -340,12 +352,12 @@ def model_seasonal_geocenter(grace_date): SAPz = 75.0 # calculate each geocenter component from the amplitude and phase # converting the phase from degrees to radians - X = AAx*np.sin(2.0*np.pi*grace_date + APx*np.pi/180.0) + \ - SAAx*np.sin(4.0*np.pi*grace_date + SAPx*np.pi/180.0) - Y = AAy*np.sin(2.0*np.pi*grace_date + APy*np.pi/180.0) + \ - SAAy*np.sin(4.0*np.pi*grace_date + SAPy*np.pi/180.0) - Z = AAz*np.sin(2.0*np.pi*grace_date + APz*np.pi/180.0) + \ - SAAz*np.sin(4.0*np.pi*grace_date + SAPz*np.pi/180.0) + X = AAx*np.sin(2.0*np.pi*grace_date + np.radians(APx)) + \ + SAAx*np.sin(4.0*np.pi*grace_date + np.radians(SAPx)) + Y = AAy*np.sin(2.0*np.pi*grace_date + np.radians(APy)) + \ + SAAy*np.sin(4.0*np.pi*grace_date + np.radians(SAPy)) + Z = AAz*np.sin(2.0*np.pi*grace_date + np.radians(APz)) + \ + SAAz*np.sin(4.0*np.pi*grace_date + np.radians(SAPz)) DEG1 = gravtk.geocenter(X=X-X.mean(), Y=Y-Y.mean(), Z=Z-Z.mean()) return DEG1.from_cartesian() @@ -371,6 +383,9 @@ def calc_degree_one(base_dir, PROC, DREL, MODEL, LMAX, RAD, DATAFORM=None, MEAN_FILE=None, MEANFORM=None, + REMOVE_FILES=None, + REMOVE_FORMAT=None, + REDISTRIBUTE_REMOVED=False, MODEL_INDEX=None, ITERATIVE=False, SOLVER=None, @@ -484,13 +499,13 @@ def calc_degree_one(base_dir, PROC, DREL, MODEL, LMAX, RAD, dlon,dlat = landsea.spacing nlat, nlon = landsea.shape # spatial parameters in radians - dphi = dlon*np.pi/180.0 - dth = dlat*np.pi/180.0 + dphi = np.radians(dlon) + dth = np.radians(dlat) # longitude and colatitude in radians - phi = landsea.lon[np.newaxis,:]*np.pi/180.0 - th = (90.0 - np.squeeze(landsea.lat))*np.pi/180.0 + phi = np.radians(np.squeeze(landsea.lon)) + th = np.radians(90.0 - np.squeeze(landsea.lat)) # create land function - land_function = np.zeros((nlon, nlat),dtype=np.float64) + land_function = np.zeros((nlon, nlat), dtype=np.float64) # extract land function from file # combine land and island levels for land function indx,indy = np.nonzero((landsea.data.T >= 1) & (landsea.data.T <= 3)) @@ -575,17 +590,16 @@ def calc_degree_one(base_dir, PROC, DREL, MODEL, LMAX, RAD, GAD = gravtk.geocenter() GAD.time = np.copy(GAD_Ylms.time) GAD.month = np.copy(GAD_Ylms.month) - GAD.C10 = np.zeros((n_files)) - GAD.C11 = np.zeros((n_files)) - GAD.S11 = np.zeros((n_files)) - for t in range(0,n_files): - # converting GAD degree 1 harmonics to mass - # NOTE: following Swenson (2008): do not use the kl Load Love number - # to convert the GAD coefficients into coefficients of mass as - # the GAC and GAD products are computed with a Load Love number of 0 - GAD.C10[t] = rho_e*rad_e*np.squeeze(GAD_Ylms.clm[1,0,t])*(2.0 + 1.0)/3.0 - GAD.C11[t] = rho_e*rad_e*np.squeeze(GAD_Ylms.clm[1,1,t])*(2.0 + 1.0)/3.0 - GAD.S11[t] = rho_e*rad_e*np.squeeze(GAD_Ylms.slm[1,1,t])*(2.0 + 1.0)/3.0 + GAD.C10 = np.empty((n_files)) + GAD.C11 = np.empty((n_files)) + GAD.S11 = np.empty((n_files)) + # converting GAD degree 1 harmonics to mass + # NOTE: following Swenson (2008): do not use the kl Load Love number + # to convert the GAD coefficients into coefficients of mass as + # the GAC and GAD products are computed with a Load Love number of 0 + GAD.C10[:] = rho_e*rad_e*np.squeeze(GAD_Ylms.clm[1,0,:])*(2.0 + 1.0)/3.0 + GAD.C11[:] = rho_e*rad_e*np.squeeze(GAD_Ylms.clm[1,1,:])*(2.0 + 1.0)/3.0 + GAD.S11[:] = rho_e*rad_e*np.squeeze(GAD_Ylms.slm[1,1,:])*(2.0 + 1.0)/3.0 # removing the mean of the GAD OBP coefficients GAD.mean(apply=True) @@ -622,14 +636,66 @@ def calc_degree_one(base_dir, PROC, DREL, MODEL, LMAX, RAD, # converting ecco degree 1 harmonics to coefficients of mass OBP = gravtk.geocenter.from_harmonics(OBP_Ylms).scale(dfactor[1]) + # input spherical harmonic datafiles to be removed from the GRACE data + # Remove sets of Ylms from the GRACE data before returning + remove_Ylms = GSM_Ylms.zeros_like() + remove_Ylms.time[:] = np.copy(GSM_Ylms.time) + remove_Ylms.month[:] = np.copy(GSM_Ylms.month) + if REMOVE_FILES: + # extend list if a single format was entered for all files + if len(REMOVE_FORMAT) < len(REMOVE_FILES): + REMOVE_FORMAT = REMOVE_FORMAT*len(REMOVE_FILES) + # for each file to be removed + for REMOVE_FILE,REMOVEFORM in zip(REMOVE_FILES,REMOVE_FORMAT): + if REMOVEFORM in ('ascii','netCDF4','HDF5'): + # ascii (.txt) + # netCDF4 (.nc) + # HDF5 (.H5) + Ylms = gravtk.harmonics().from_file(REMOVE_FILE, + format=REMOVEFORM) + attributes['lineage'].append(Ylms.filename) + elif REMOVEFORM in ('index-ascii','index-netCDF4','index-HDF5'): + # read from index file + _,removeform = REMOVEFORM.split('-') + # index containing files in data format + Ylms = gravtk.harmonics().from_index(REMOVE_FILE, + format=removeform) + attributes['lineage'].extend([f.name for f in Ylms.filename]) + # reduce to GRACE/GRACE-FO months and truncate to degree and order + Ylms = Ylms.subset(GSM_Ylms.month).truncate(lmax=LMAX, mmax=MMAX) + # remove the temporal mean of the coefficients + Ylms.mean(apply=True) + # distribute removed Ylms uniformly over the ocean + if REDISTRIBUTE_REMOVED: + # calculate ratio between total removed mass and + # a uniformly distributed cm of water over the ocean + ratio = Ylms.clm[0,0,:]/ocean_Ylms.clm[0,0] + # for each spherical harmonic + for m in range(0,MMAX+1):# MMAX+1 to include MMAX + for l in range(m,LMAX+1):# LMAX+1 to include LMAX + # remove the ratio*ocean Ylms from Ylms + # note: x -= y is equivalent to x = x - y + Ylms.clm[l,m,:] -= ratio*ocean_Ylms.clm[l,m] + Ylms.slm[l,m,:] -= ratio*ocean_Ylms.slm[l,m] + # filter removed coefficients + if DESTRIPE: + Ylms = Ylms.destripe() + # add data for month t and INDEX_FILE to the total + # remove_clm and remove_slm matrices + # redistributing the mass over the ocean if specified + remove_Ylms.add(Ylms) + # save geocenter coefficients of the auxiliary corrections + remove = gravtk.geocenter().from_harmonics(remove_Ylms) + # Calculating cos/sin of phi arrays # output [m,phi] - m = GSM_Ylms.m[:, np.newaxis] + m = GSM_Ylms.m # Integration factors (solid angle) int_fact = np.sin(th)*dphi*dth - # Calculating cos(m*phi) and sin(m*phi) - ccos = np.cos(np.dot(m,phi)) - ssin = np.sin(np.dot(m,phi)) + # 4-pi normalization + norm = 1.0/(4.0*np.pi) + # calculating cos(m*phi) and sin(m*phi) using Euler's formula + m_phi = np.exp(1j * np.einsum("m...,p...->mp...", m, phi)) # Legendre polynomials for degree 1 P10 = np.squeeze(PLM[1,0,:]) @@ -637,34 +703,31 @@ def calc_degree_one(base_dir, PROC, DREL, MODEL, LMAX, RAD, # PLM for spherical harmonic degrees 2+ up to LMAX # converted into mass and smoothed if specified plmout = np.zeros((LMAX+1, MMAX+1, nlat)) - for l in range(1,LMAX+1): - m = np.arange(0,np.min([l,MMAX])+1) - # convert to smoothed coefficients of mass - # Convolving plms with degree dependent factor and smoothing - plmout[l,m,:] = PLM[l,m,:]*dfactor[l]*wt[l] + # convert to smoothed coefficients of mass + # Convolving plms with degree dependent factor and smoothing + plmout[:] = np.einsum("l,l,lmh->lmh", dfactor, wt, PLM[:LMAX+1,:MMAX+1,:]) # Initializing 3x3 I-Parameter matrix - IMAT = np.zeros((3,3)) - # Calculating I-Parameter matrix by integrating over latitudes + # (see equations 12 and 13 of Swenson et al., 2008) + IMAT = np.zeros((3, 3)) # I-Parameter matrix accounts for the fact that the GRACE data only # includes spherical harmonic degrees greater than or equal to 2 - for i in range(0,nlat): - # C10, C11, S11 - PC10 = P10[i]*ccos[0,:] - PC11 = P11[i]*ccos[1,:] - PS11 = P11[i]*ssin[1,:] - # C10: C10, C11, S11 (see equations 12 and 13 of Swenson et al., 2008) - IMAT[0,0] += np.sum(int_fact[i]*PC10*ocean_function[:,i]*PC10)/(4.0*np.pi) - IMAT[1,0] += np.sum(int_fact[i]*PC10*ocean_function[:,i]*PC11)/(4.0*np.pi) - IMAT[2,0] += np.sum(int_fact[i]*PC10*ocean_function[:,i]*PS11)/(4.0*np.pi) - # C11: C10, C11, S11 (see equations 12 and 13 of Swenson et al., 2008) - IMAT[0,1] += np.sum(int_fact[i]*PC11*ocean_function[:,i]*PC10)/(4.0*np.pi) - IMAT[1,1] += np.sum(int_fact[i]*PC11*ocean_function[:,i]*PC11)/(4.0*np.pi) - IMAT[2,1] += np.sum(int_fact[i]*PC11*ocean_function[:,i]*PS11)/(4.0*np.pi) - # S11: C10, C11, S11 (see equations 12 and 13 of Swenson et al., 2008) - IMAT[0,2] += np.sum(int_fact[i]*PS11*ocean_function[:,i]*PC10)/(4.0*np.pi) - IMAT[1,2] += np.sum(int_fact[i]*PS11*ocean_function[:,i]*PC11)/(4.0*np.pi) - IMAT[2,2] += np.sum(int_fact[i]*PS11*ocean_function[:,i]*PS11)/(4.0*np.pi) + # C10, C11, S11 + PC10 = np.einsum("h...,p...->ph...", P10, m_phi[0,:].real) + PC11 = np.einsum("h...,p...->ph...", P11, m_phi[1,:].real) + PS11 = np.einsum("h...,p...->ph...", P11, m_phi[1,:].imag) + # C10: C10, C11, S11 + IMAT[0,0] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC10, ocean_function, PC10) + IMAT[1,0] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC10, ocean_function, PC11) + IMAT[2,0] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC10, ocean_function, PS11) + # C11: C10, C11, S11 + IMAT[0,1] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC11, ocean_function, PC10) + IMAT[1,1] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC11, ocean_function, PC11) + IMAT[2,1] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC11, ocean_function, PS11) + # S11: C10, C11, S11 + IMAT[0,2] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PS11, ocean_function, PC10) + IMAT[1,2] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PS11, ocean_function, PC11) + IMAT[2,2] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PS11, ocean_function, PS11) # get seasonal variations of an initial geocenter correction # for use in the land water mass calculation @@ -691,39 +754,32 @@ def calc_degree_one(base_dir, PROC, DREL, MODEL, LMAX, RAD, DMAT = np.zeros((3,n_files)) # degree 1 iterations iteration = gravtk.geocenter() - iteration.C10 = np.zeros((n_files,max_iter)) - iteration.C11 = np.zeros((n_files,max_iter)) - iteration.S11 = np.zeros((n_files,max_iter)) + iteration.C10 = np.zeros((n_files, max_iter)) + iteration.C11 = np.zeros((n_files, max_iter)) + iteration.S11 = np.zeros((n_files, max_iter)) # calculate non-iterated terms for each file (G-matrix parameters) for t in range(n_files): # calculate geocenter component of ocean mass with GRACE - # allocate for product of grace and legendre polynomials - pcos = np.zeros((MMAX+1, nlat))#-[m,lat] - psin = np.zeros((MMAX+1, nlat))#-[m,lat] # Summing product of plms and c/slms over all SH degrees >= 2 - # Removing monthly GIA signal and atmospheric correction + # Removing monthly GIA signal, atmospheric correction + # and the auxiliary coefficients Ylms = GSM_Ylms.index(t) Ylms.subtract(GIA_Ylms.index(t)) Ylms.subtract(ATM_Ylms.index(t)) - for i in range(0, nlat): - l = np.arange(2,LMAX+1) - pcos[:,i] = np.sum(plmout[l,:,i]*Ylms.clm[l,:], axis=0) - psin[:,i] = np.sum(plmout[l,:,i]*Ylms.slm[l,:], axis=0) + Ylms.subtract(remove_Ylms.index(t)) + # subset GRACE to degrees 2+ for calculating ocean mass + l2 = slice(2, LMAX+1) + pconv = np.einsum("lmh...,lm...->mh...", plmout[l2, :, :], Ylms.ilm[l2, :]) # Multiplying by c/s(phi#m) to get surface density in cmwe (lon,lat) # ccos/ssin are mXphi, pcos/psin are mXtheta: resultant matrices are phiXtheta # The summation over spherical harmonic order is in this multiplication - rmass = np.dot(np.transpose(ccos),pcos) + np.dot(np.transpose(ssin),psin) + rmass = np.einsum("mp...,mh...->ph...", m_phi, pconv).real # calculate G matrix parameters through a summation of each latitude - for i in range(0,nlat): - # C10, C11, S11 - PC10 = P10[i]*ccos[0,:] - PC11 = P11[i]*ccos[1,:] - PS11 = P11[i]*ssin[1,:] - # summation of integration factors, Legendre polynomials, - # (convolution of order and harmonics) and the ocean mass at t - G.C10[t] += np.sum(int_fact[i]*PC10*ocean_function[:,i]*rmass[:,i])/(4.0*np.pi) - G.C11[t] += np.sum(int_fact[i]*PC11*ocean_function[:,i]*rmass[:,i])/(4.0*np.pi) - G.S11[t] += np.sum(int_fact[i]*PS11*ocean_function[:,i]*rmass[:,i])/(4.0*np.pi) + # summation of integration factors, Legendre polynomials, + # (convolution of order and harmonics) and the ocean mass at t + G.C10[t] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC10, ocean_function, rmass) + G.C11[t] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC11, ocean_function, rmass) + G.S11[t] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PS11, ocean_function, rmass) # calculate degree one solution for each iteration (or single if not) while (eps > eps_max) and (n_iter < max_iter): @@ -743,26 +799,22 @@ def calc_degree_one(base_dir, PROC, DREL, MODEL, LMAX, RAD, GSM_Ylms.clm[1,1,t] = iteration.C11[t,n_iter-1] GSM_Ylms.slm[1,1,t] = iteration.S11[t,n_iter-1] - # allocate for product of grace and legendre polynomials - pcos = np.zeros((MMAX+1, nlat))#-[m,lat] - psin = np.zeros((MMAX+1, nlat))#-[m,lat] # Summing product of plms and c/slms over all SH degrees - # Removing monthly GIA signal and atmospheric correction + # Removing monthly GIA signal, atmospheric correction + # and the auxiliary coefficients Ylms = GSM_Ylms.index(t) Ylms.subtract(GIA_Ylms.index(t)) Ylms.subtract(ATM_Ylms.index(t)) - for i in range(0, nlat): - # for land water: use an initial seasonal geocenter estimate - # from Chen et al. (1999) then the iterative if specified - l = np.arange(1,LMAX+1) - pcos[:,i] = np.sum(plmout[l,:,i]*Ylms.clm[l,:], axis=0) - psin[:,i] = np.sum(plmout[l,:,i]*Ylms.slm[l,:], axis=0) + Ylms.subtract(remove_Ylms.index(t)) + # for land water: use an initial seasonal geocenter estimate + # from Chen et al. (1999) then the iterative if specified + l1 = slice(1, LMAX+1) + pconv = np.einsum("lmh...,lm...->mh...", plmout[l1, :, :], Ylms.ilm[l1, :]) # Multiplying by c/s(phi#m) to get surface density in cm w.e. (lonxlat) - # this will be a spatial field similar to outputs from stokes_combine.py # ccos/ssin are mXphi, pcos/psin are mXtheta: resultant matrices are phiXtheta # The summation over spherical harmonic order is in this multiplication - lmass = np.dot(np.transpose(ccos),pcos) + np.dot(np.transpose(ssin),psin) + lmass = np.einsum("mp...,mh...->ph...", m_phi, pconv).real # use sea level fingerprints or eustatic from GRACE land components if FINGERPRINT: @@ -780,8 +832,7 @@ def calc_degree_one(base_dir, PROC, DREL, MODEL, LMAX, RAD, sea_level = gravtk.sea_level_equation(land_Ylms.clm, land_Ylms.slm, landsea.lon, landsea.lat, land_function, LMAX=EXPANSION, LOVE=LOVE, BODY_TIDE_LOVE=0, FLUID_LOVE=0, ITERATIONS=3, - POLAR=True, PLM=PLM, ASTYPE=np.float64, SCALE=1e-32, - FILL_VALUE=0) + POLAR=True, PLM=PLM, FILL_VALUE=0) # 3) convert sea level fingerprints into spherical harmonics slf_Ylms = gravtk.gen_stokes(sea_level, landsea.lon, landsea.lat, UNITS=1, LMIN=0, LMAX=1, PLM=PLM[:2,:2,:], LOVE=LOVE) @@ -838,10 +889,14 @@ def calc_degree_one(base_dir, PROC, DREL, MODEL, LMAX, RAD, elif SOLVER in ('gelsd', 'gelsy', 'gelss'): DMAT[:,t], res, rnk, s = scipy.linalg.lstsq(IMAT, (CMAT-GMAT), lapack_driver=SOLVER) - # save geocenter for iteration and time t after restoring GIA+ATM - iteration.C10[t,n_iter] = DMAT[0,t]/dfactor[1]+gia.C10[t]+atm.C10[t] - iteration.C11[t,n_iter] = DMAT[1,t]/dfactor[1]+gia.C11[t]+atm.C11[t] - iteration.S11[t,n_iter] = DMAT[2,t]/dfactor[1]+gia.S11[t]+atm.S11[t] + # save geocenter for iteration and time t after restoring fields + iteration.C10[t,n_iter] = DMAT[0,t]/dfactor[1] + \ + gia.C10[t] + atm.C10[t] + remove.C10[t] + iteration.C11[t,n_iter] = DMAT[1,t]/dfactor[1] + \ + gia.C11[t] + atm.C11[t] + remove.C11[t] + iteration.S11[t,n_iter] = DMAT[2,t]/dfactor[1] + \ + gia.S11[t] + atm.S11[t] + remove.S11[t] + # remove mean of each solution for iteration iteration.C10[:,n_iter] -= iteration.C10[:,n_iter].mean() iteration.C11[:,n_iter] -= iteration.C11[:,n_iter].mean() @@ -859,12 +914,13 @@ def calc_degree_one(base_dir, PROC, DREL, MODEL, LMAX, RAD, # Convert inverted solutions into fully normalized spherical harmonics # restore geocenter variation from glacial isostatic adjustment (GIA) # restore atmospheric jump corrections from Fagiolini (2015) if applicable + # restore auxiliary removed spherical harmonics if applicable # for each of the geocenter solutions (C10, C11, S11) # for the iterative case this will be the final iteration DEG1 = gravtk.geocenter() - DEG1.C10 = DMAT[0,:]/dfactor[1] + gia.C10[:] + atm.C10[:] - DEG1.C11 = DMAT[1,:]/dfactor[1] + gia.C11[:] + atm.C11[:] - DEG1.S11 = DMAT[2,:]/dfactor[1] + gia.S11[:] + atm.S11[:] + DEG1.C10 = DMAT[0,:]/dfactor[1] + gia.C10[:] + atm.C10[:] + remove.C10[:] + DEG1.C11 = DMAT[1,:]/dfactor[1] + gia.C11[:] + atm.C11[:] + remove.C11[:] + DEG1.S11 = DMAT[2,:]/dfactor[1] + gia.S11[:] + atm.S11[:] + remove.S11[:] # remove mean of geocenter for each component DEG1.mean(apply=True) # calculate geocenter variations with dealiasing restored @@ -1401,7 +1457,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # GRACE/GRACE-FO data processing center parser.add_argument('--center','-c', @@ -1528,6 +1585,19 @@ def arguments(): parser.add_argument('--mean-format', type=str, default='netCDF4', choices=['ascii','netCDF4','HDF5','gfc'], help='Input data format for GRACE/GRACE-FO mean file') + # monthly files to be removed from the GRACE/GRACE-FO data + parser.add_argument('--remove-file', + type=pathlib.Path, nargs='+', + help='Monthly files to be removed from the GRACE/GRACE-FO data') + choices = [] + choices.extend(['ascii','netCDF4','HDF5']) + choices.extend(['index-ascii','index-netCDF4','index-HDF5']) + parser.add_argument('--remove-format', + type=str, nargs='+', choices=choices, + help='Input data format for files to be removed') + parser.add_argument('--redistribute-removed', + default=False, action='store_true', + help='Redistribute removed mass fields over the ocean') # run with iterative scheme parser.add_argument('--iterative', default=False, action='store_true', @@ -1617,6 +1687,9 @@ def main(): MODEL_INDEX=args.ocean_file, MEAN_FILE=args.mean_file, MEANFORM=args.mean_format, + REMOVE_FILES=args.remove_file, + REMOVE_FORMAT=args.remove_format, + REDISTRIBUTE_REMOVED=args.redistribute_removed, ITERATIVE=args.iterative, SOLVER=args.solver, FINGERPRINT=args.fingerprint, diff --git a/geocenter/delta_degree_one.py b/geocenter/delta_degree_one.py index a621affb..8ea80363 100644 --- a/geocenter/delta_degree_one.py +++ b/geocenter/delta_degree_one.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" delta_degree_one.py -Written by Tyler Sutterley (10/2023) +Written by Tyler Sutterley (07/2026) Calculates degree 1 errors using GRACE coefficients of degree 2 and greater, and ocean bottom pressure variations from OMCT/MPIOM @@ -147,6 +147,8 @@ https://doi.org/10.1029/2005GL025305 UPDATE HISTORY: + Updated 07/2026: use np.einsum for spherical harmonic summations + use np.radians to convert from degrees to radians Updated 10/2023: generalize mission variable to be GRACE/GRACE-FO Updated 09/2023: simplify I-matrix and G-matrix calculations Updated 05/2023: use pathlib to define and operate on paths @@ -317,11 +319,11 @@ def delta_degree_one(base_dir, PROC, DREL, LMAX, RAD, dlon,dlat = landsea.spacing nlat, nlon = landsea.shape # spatial parameters in radians - dphi = dlon*np.pi/180.0 - dth = dlat*np.pi/180.0 + dphi = np.radians(dlon) + dth = np.radians(dlat) # longitude and colatitude in radians - phi = landsea.lon[np.newaxis,:]*np.pi/180.0 - th = (90.0 - np.squeeze(landsea.lat))*np.pi/180.0 + phi = np.radians(landsea.lon[np.newaxis,:]) + th = np.radians(90.0 - np.squeeze(landsea.lat)) # create land function land_function = np.zeros((nlon, nlat),dtype=np.float64) # extract land function from file @@ -442,47 +444,45 @@ def delta_degree_one(base_dir, PROC, DREL, LMAX, RAD, # Calculating cos/sin of phi arrays # output [m,phi] - m = GSM_Ylms.m[:, np.newaxis] + m = GSM_Ylms.m # Integration factors (solid angle) int_fact = np.sin(th)*dphi*dth - # Calculating cos(m*phi) and sin(m*phi) - ccos = np.cos(np.dot(m,phi)) - ssin = np.sin(np.dot(m,phi)) + # 4-pi normalization + norm = 1.0/(4.0*np.pi) + # calculating cos(m*phi) and sin(m*phi) using Euler's formula + m_phi = np.exp(1j * np.einsum("m...,p...->mp...", m, phi)) # Legendre polynomials for degree 1 P10 = np.squeeze(PLM[1,0,:]) P11 = np.squeeze(PLM[1,1,:]) - # PLM for spherical harmonic degrees 2+ + # PLM for spherical harmonic degrees 2+ up to LMAX # converted into mass and smoothed if specified plmout = np.zeros((LMAX+1, MMAX+1, nlat)) - for l in range(1,LMAX+1): - m = np.arange(0,np.min([l,MMAX])+1) - # convert to smoothed coefficients of mass - # Convolving plms with degree dependent factor and smoothing - plmout[l,m,:] = PLM[l,m,:]*dfactor[l]*wt[l] + # convert to smoothed coefficients of mass + # Convolving plms with degree dependent factor and smoothing + plmout[:] = np.einsum("l,l,lmh->lmh", dfactor, wt, PLM[:LMAX+1,:MMAX+1,:]) # Initializing 3x3 I-Parameter matrix - IMAT = np.zeros((3,3)) - # Calculating I-Parameter matrix by integrating over latitudes + # (see equations 12 and 13 of Swenson et al., 2008) + IMAT = np.zeros((3, 3)) # I-Parameter matrix accounts for the fact that the GRACE data only # includes spherical harmonic degrees greater than or equal to 2 - for i in range(0,nlat): - # C10, C11, S11 - PC10 = P10[i]*ccos[0,:] - PC11 = P11[i]*ccos[1,:] - PS11 = P11[i]*ssin[1,:] - # C10: C10, C11, S11 (see equations 12 and 13 of Swenson et al., 2008) - IMAT[0,0] += np.sum(int_fact[i]*PC10*ocean_function[:,i]*PC10)/(4.0*np.pi) - IMAT[1,0] += np.sum(int_fact[i]*PC10*ocean_function[:,i]*PC11)/(4.0*np.pi) - IMAT[2,0] += np.sum(int_fact[i]*PC10*ocean_function[:,i]*PS11)/(4.0*np.pi) - # C11: C10, C11, S11 (see equations 12 and 13 of Swenson et al., 2008) - IMAT[0,1] += np.sum(int_fact[i]*PC11*ocean_function[:,i]*PC10)/(4.0*np.pi) - IMAT[1,1] += np.sum(int_fact[i]*PC11*ocean_function[:,i]*PC11)/(4.0*np.pi) - IMAT[2,1] += np.sum(int_fact[i]*PC11*ocean_function[:,i]*PS11)/(4.0*np.pi) - # S11: C10, C11, S11 (see equations 12 and 13 of Swenson et al., 2008) - IMAT[0,2] += np.sum(int_fact[i]*PS11*ocean_function[:,i]*PC10)/(4.0*np.pi) - IMAT[1,2] += np.sum(int_fact[i]*PS11*ocean_function[:,i]*PC11)/(4.0*np.pi) - IMAT[2,2] += np.sum(int_fact[i]*PS11*ocean_function[:,i]*PS11)/(4.0*np.pi) + # C10, C11, S11 + PC10 = np.einsum("h...,p...->ph...", P10, m_phi[0,:].real) + PC11 = np.einsum("h...,p...->ph...", P11, m_phi[1,:].real) + PS11 = np.einsum("h...,p...->ph...", P11, m_phi[1,:].imag) + # C10: C10, C11, S11 + IMAT[0,0] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC10, ocean_function, PC10) + IMAT[1,0] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC10, ocean_function, PC11) + IMAT[2,0] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC10, ocean_function, PS11) + # C11: C10, C11, S11 + IMAT[0,1] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC11, ocean_function, PC10) + IMAT[1,1] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC11, ocean_function, PC11) + IMAT[2,1] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC11, ocean_function, PS11) + # S11: C10, C11, S11 + IMAT[0,2] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PS11, ocean_function, PC10) + IMAT[1,2] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PS11, ocean_function, PC11) + IMAT[2,2] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PS11, ocean_function, PS11) # iterate solutions: if not single iteration n_iter = 0 @@ -499,9 +499,6 @@ def delta_degree_one(base_dir, PROC, DREL, LMAX, RAD, # Allocate for G matrix parameters # G matrix calculates the GRACE ocean mass variations G = gravtk.geocenter() - G.C10 = 0.0 - G.C11 = 0.0 - G.S11 = 0.0 # degree 1 iterations iteration = gravtk.geocenter() iteration.C10 = np.zeros((max_iter)) @@ -509,29 +506,19 @@ def delta_degree_one(base_dir, PROC, DREL, LMAX, RAD, iteration.S11 = np.zeros((max_iter)) # calculate non-iterated terms (G-matrix parameters) # calculate geocenter component of ocean mass with GRACE - # allocate for product of grace and legendre polynomials - pcos = np.zeros((MMAX+1, nlat))#-[m,lat] - psin = np.zeros((MMAX+1, nlat))#-[m,lat] - # Summing product of plms and c/slms over all SH degrees >= 2 - for i in range(0, nlat): - l = np.arange(2,LMAX+1) - pcos[:,i] = np.sum(((plmout[l,:,i]*delta_Ylms.clm[l,:])**2)/nsmth, axis=0) - psin[:,i] = np.sum(((plmout[l,:,i]*delta_Ylms.slm[l,:])**2)/nsmth, axis=0) + # subset GRACE to degrees 2+ for calculating ocean mass + l2 = slice(2, LMAX+1) + pconv = np.einsum("lmh...,lm...->mh...", plmout[l2, :, :], delta_Ylms.ilm[l2, :]) # Multiplying by c/s(phi#m) to get surface density in cmwe (lon,lat) # ccos/ssin are mXphi, pcos/psin are mXtheta: resultant matrices are phiXtheta # The summation over spherical harmonic order is in this multiplication - rmass = np.sqrt(np.dot(np.transpose(ccos**2),pcos) + np.dot(np.transpose(ssin**2),psin)) + rmass = np.einsum("mp...,mh...->ph...", m_phi, pconv).real # calculate G matrix parameters through a summation of each latitude - for i in range(0,nlat): - # C10, C11, S11 - PC10 = P10[i]*ccos[0,:] - PC11 = P11[i]*ccos[1,:] - PS11 = P11[i]*ssin[1,:] - # summation of integration factors, Legendre polynomials, - # (convolution of order and harmonics) and the ocean mass at t - G.C10 += np.sum(int_fact[i]*PC10*ocean_function[:,i]*rmass[:,i])/(4.0*np.pi) - G.C11 += np.sum(int_fact[i]*PC11*ocean_function[:,i]*rmass[:,i])/(4.0*np.pi) - G.S11 += np.sum(int_fact[i]*PS11*ocean_function[:,i]*rmass[:,i])/(4.0*np.pi) + # summation of integration factors, Legendre polynomials, + # (convolution of order and harmonics) and the ocean mass at t + G.C10 = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC10, ocean_function, rmass) + G.C11 = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC11, ocean_function, rmass) + G.S11 = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PS11, ocean_function, rmass) # calculate degree one solution for each iteration (or single if not) while (eps > eps_max) and (n_iter < max_iter): @@ -549,22 +536,14 @@ def delta_degree_one(base_dir, PROC, DREL, LMAX, RAD, delta_Ylms.clm[1,1] = iteration.C11[n_iter-1] delta_Ylms.slm[1,1] = iteration.S11[n_iter-1] - # allocate for product of grace and legendre polynomials - pcos = np.zeros((MMAX+1, nlat))#-[m,lat] - psin = np.zeros((MMAX+1, nlat))#-[m,lat] # Summing product of plms and c/slms over all SH degrees - for i in range(0, nlat): - # for land water: use an initial seasonal geocenter estimate - # from Chen et al. (1999) - l = np.arange(1,LMAX+1) - pcos[:,i] = np.sum(((plmout[l,:,i]*delta_Ylms.clm[l,:])**2)/nsmth, axis=0) - psin[:,i] = np.sum(((plmout[l,:,i]*delta_Ylms.slm[l,:])**2)/nsmth, axis=0) + l1 = slice(1, LMAX+1) + pconv = np.einsum("lmh...,lm...->mh...", plmout[l1, :, :], delta_Ylms.ilm[l1, :]) # Multiplying by c/s(phi#m) to get surface density in cm w.e. (lonxlat) - # this will be a spatial field similar to outputs from stokes_combine.py # ccos/ssin are mXphi, pcos/psin are mXtheta: resultant matrices are phiXtheta # The summation over spherical harmonic order is in this multiplication - lmass = np.sqrt(np.dot(np.transpose(ccos**2),pcos) + np.dot(np.transpose(ssin**2),psin)) + lmass = np.einsum("mp...,mh...->ph...", m_phi, pconv).real # use sea level fingerprints or eustatic from GRACE land components if FINGERPRINT: @@ -915,7 +894,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # GRACE/GRACE-FO data processing center parser.add_argument('--center','-c', diff --git a/geocenter/geocenter_compare_tellus.py b/geocenter/geocenter_compare_tellus.py index 992df24d..7ed393cf 100644 --- a/geocenter/geocenter_compare_tellus.py +++ b/geocenter/geocenter_compare_tellus.py @@ -213,7 +213,8 @@ def arguments(): ) # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # GRACE/GRACE-FO data release parser.add_argument('--release','-r', diff --git a/geocenter/geocenter_monte_carlo.py b/geocenter/geocenter_monte_carlo.py index 925627a1..959ec27a 100644 --- a/geocenter/geocenter_monte_carlo.py +++ b/geocenter/geocenter_monte_carlo.py @@ -128,7 +128,7 @@ def geocenter_monte_carlo(grace_dir,PROC,DREL,START_MON,END_MON,MISSING): artist = matplotlib.offsetbox.AnchoredText(axes_labels[key], pad=0., prop=dict(size=16,weight='bold'), frameon=False, loc=2) ax[j].add_artist(artist) - lbl = f'$\sigma$ = {RMS:0.2f} mm\nmax = {max_var:0.2f} mm' + lbl = r'$\sigma$' + f' = {RMS:0.2f} mm\nmax = {max_var:0.2f} mm' artist = matplotlib.offsetbox.AnchoredText(lbl, pad=0., prop=dict(size=12), frameon=False, loc=3) ax[j].add_artist(artist) @@ -164,7 +164,8 @@ def arguments(): ) # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # GRACE/GRACE-FO data processing center parser.add_argument('--center','-c', diff --git a/geocenter/geocenter_ocean_models.py b/geocenter/geocenter_ocean_models.py index cbbeb7b6..de676f84 100644 --- a/geocenter/geocenter_ocean_models.py +++ b/geocenter/geocenter_ocean_models.py @@ -158,7 +158,8 @@ def arguments(): ) # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # GRACE/GRACE-FO processing center parser.add_argument('--center','-c', diff --git a/geocenter/geocenter_processing_centers.py b/geocenter/geocenter_processing_centers.py index 252c9d0d..9a9b2ef6 100644 --- a/geocenter/geocenter_processing_centers.py +++ b/geocenter/geocenter_processing_centers.py @@ -169,7 +169,8 @@ def arguments(): ) # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # Data processing center or satellite mission PROC = ['CSR','GFZ','GFZwPT','JPL'] diff --git a/geocenter/geocenter_spatial_maps.py b/geocenter/geocenter_spatial_maps.py index 1d06bcda..ce6b5f55 100644 --- a/geocenter/geocenter_spatial_maps.py +++ b/geocenter/geocenter_spatial_maps.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" geocenter_spatial_maps.py -Written by Tyler Sutterley (05/2023) +Written by Tyler Sutterley (07/2026) Reads in GRACE/GRACE-FO geocenter coefficients and exports trends in the monthly spatial fields in millimeters water equivalent @@ -90,6 +90,7 @@ utilities.py: download and management utilities for files UPDATE HISTORY: + Updated 07/2026: use np.radians to convert from degrees to radians Updated 05/2023: split S2 tidal aliasing terms into GRACE and GRACE-FO eras use pathlib to define and operate on paths Updated 01/2023: refactored time series analysis functions @@ -265,7 +266,7 @@ def geocenter_spatial_maps(base_dir, PROC, DREL, nlat = len(grid.lat) # Computing plms for converting to spatial domain - theta = (90.0-grid.lat)*np.pi/180.0 + theta = np.radians(90.0-grid.lat) PLM, dPLM = gravtk.plm_holmes(2, np.cos(theta)) # fit coefficients fits = ['x1','x2','SS','SC','AS','AC','S2SGRC','S2CGRC','S2SGFO','S2CGFO'] @@ -342,8 +343,7 @@ def geocenter_spatial_maps(base_dir, PROC, DREL, # output phase to file for key in ['SP','AP','S2PGRC','S2PGFO']: # convert phase from -180:180 to 0:360 - ix,iy = np.nonzero(var[key] < 0) - var[key][ix,iy] += 360.0 + var[key] = np.where(var[key] < 0, var[key] + 360.0, var[key]) # copy variables to output grid grid.data = np.copy(var[key]) grid.time = np.copy(MEAN.time) @@ -415,10 +415,12 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for spatial files') # Data processing center or satellite mission parser.add_argument('--center','-c', diff --git a/geocenter/kernel_degree_one.py b/geocenter/kernel_degree_one.py index 30d4d194..2f881d60 100644 --- a/geocenter/kernel_degree_one.py +++ b/geocenter/kernel_degree_one.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" kernel_degree_one.py -Written by Tyler Sutterley (06/2024) +Written by Tyler Sutterley (07/2026) Calculates the sensitivity of geocenter calculations for each degree and order Can be used to estimate the geocenter uncertainties for sets of harmonics @@ -107,6 +107,8 @@ https://doi.org/10.1029/2007JB005338 UPDATE HISTORY: + Updated 07/2026: use np.einsum for spherical harmonic summations + use np.radians to convert from degrees to radians Updated 06/2024: use wrapper to importlib for optional dependencies Updated 09/2023: simplify I-matrix and G-matrix calculations Updated 05/2023: use pathlib to define and operate on paths @@ -201,11 +203,11 @@ def kernel_degree_one(base_dir, LMAX, RAD, dlon,dlat = landsea.spacing nlat, nlon = landsea.shape # spatial parameters in radians - dphi = dlon*np.pi/180.0 - dth = dlat*np.pi/180.0 + dphi = np.radians(dlon) + dth = np.radians(dlat) # longitude and colatitude in radians - phi = landsea.lon[np.newaxis,:]*np.pi/180.0 - th = (90.0 - np.squeeze(landsea.lat))*np.pi/180.0 + phi = np.radians(landsea.lon[np.newaxis,:]) + th = np.radians(90.0 - np.squeeze(landsea.lat)) # create land function land_function = np.zeros((nlon, nlat),dtype=np.float64) # extract land function from file @@ -236,39 +238,39 @@ def kernel_degree_one(base_dir, LMAX, RAD, # Calculating cos/sin of phi arrays # output [m,phi] - m = np.arange(0,MMAX+1)[:, np.newaxis] + m = np.arange(0,MMAX+1) # Integration factors (solid angle) int_fact = np.sin(th)*dphi*dth - # Calculating cos(m*phi) and sin(m*phi) - ccos = np.cos(np.dot(m,phi)) - ssin = np.sin(np.dot(m,phi)) + # 4-pi normalization + norm = 1.0/(4.0*np.pi) + # calculating cos(m*phi) and sin(m*phi) using Euler's formula + m_phi = np.exp(1j * np.einsum("m...,p...->mp...", m, phi)) # Legendre polynomials for degree 1 P10 = np.squeeze(PLM[1,0,:]) P11 = np.squeeze(PLM[1,1,:]) # Initializing 3x3 I-Parameter matrix - IMAT = np.zeros((3,3)) - # Calculating I-Parameter matrix by integrating over latitudes + # (see equations 12 and 13 of Swenson et al., 2008) + IMAT = np.zeros((3, 3)) # I-Parameter matrix accounts for the fact that the GRACE data only # includes spherical harmonic degrees greater than or equal to 2 - for i in range(0,nlat): - # C10, C11, S11 - PC10 = P10[i]*ccos[0,:] - PC11 = P11[i]*ccos[1,:] - PS11 = P11[i]*ssin[1,:] - # C10: C10, C11, S11 (see equations 12 and 13 of Swenson et al., 2008) - IMAT[0,0] += np.sum(int_fact[i]*PC10*ocean_function[:,i]*PC10)/(4.0*np.pi) - IMAT[1,0] += np.sum(int_fact[i]*PC10*ocean_function[:,i]*PC11)/(4.0*np.pi) - IMAT[2,0] += np.sum(int_fact[i]*PC10*ocean_function[:,i]*PS11)/(4.0*np.pi) - # C11: C10, C11, S11 (see equations 12 and 13 of Swenson et al., 2008) - IMAT[0,1] += np.sum(int_fact[i]*PC11*ocean_function[:,i]*PC10)/(4.0*np.pi) - IMAT[1,1] += np.sum(int_fact[i]*PC11*ocean_function[:,i]*PC11)/(4.0*np.pi) - IMAT[2,1] += np.sum(int_fact[i]*PC11*ocean_function[:,i]*PS11)/(4.0*np.pi) - # S11: C10, C11, S11 (see equations 12 and 13 of Swenson et al., 2008) - IMAT[0,2] += np.sum(int_fact[i]*PS11*ocean_function[:,i]*PC10)/(4.0*np.pi) - IMAT[1,2] += np.sum(int_fact[i]*PS11*ocean_function[:,i]*PC11)/(4.0*np.pi) - IMAT[2,2] += np.sum(int_fact[i]*PS11*ocean_function[:,i]*PS11)/(4.0*np.pi) + # C10, C11, S11 + PC10 = np.einsum("h...,p...->ph...", P10, m_phi[0,:].real) + PC11 = np.einsum("h...,p...->ph...", P11, m_phi[1,:].real) + PS11 = np.einsum("h...,p...->ph...", P11, m_phi[1,:].imag) + # C10: C10, C11, S11 + IMAT[0,0] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC10, ocean_function, PC10) + IMAT[1,0] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC10, ocean_function, PC11) + IMAT[2,0] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC10, ocean_function, PS11) + # C11: C10, C11, S11 + IMAT[0,1] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC11, ocean_function, PC10) + IMAT[1,1] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC11, ocean_function, PC11) + IMAT[2,1] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC11, ocean_function, PS11) + # S11: C10, C11, S11 + IMAT[0,2] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PS11, ocean_function, PC10) + IMAT[1,2] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PS11, ocean_function, PC11) + IMAT[2,2] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PS11, ocean_function, PS11) # output flag for using sea level fingerprints slf_str = '_SLF' if FINGERPRINT else '' @@ -313,9 +315,9 @@ def kernel_degree_one(base_dir, LMAX, RAD, fit_factor[ii] = wt[l]*(2.0*l + 1.0)/(1.0 + LOVE.kl[l]) # cosine and sine factors if (csharm == 'clm'): - mphi[ii,:] = ccos[m,:] + mphi[ii,:] = m_phi[m,:].real elif (csharm == 'slm'): - mphi[ii,:] = ssin[m,:] + mphi[ii,:] = m_phi[m,:].imag # add 1 to counter ii += 1 @@ -323,10 +325,10 @@ def kernel_degree_one(base_dir, LMAX, RAD, output['covariance'] = np.zeros((n_harm, n_harm, 3)) for i in range(n_harm): # setting kern_i equal to 1 for d/o - kern_i = np.zeros((n_harm,nlat)) + kern_i = np.zeros((n_harm, nlat)) kern_i[i,:] = 1.0*fit_factor[i] # calculate land mass maps - lmass = np.dot(mphi.T,plm*kern_i) + lmass = np.dot(mphi.T, plm*kern_i) # Calculating data matrices # GRACE Eustatic degree 1 from land variations eustatic = gravtk.geocenter() @@ -346,7 +348,7 @@ def kernel_degree_one(base_dir, LMAX, RAD, sea_level = gravtk.sea_level_equation(land_Ylms.clm, land_Ylms.slm, landsea.lon, landsea.lat, land_function, LMAX=EXPANSION, LOVE=LOVE_K1, BODY_TIDE_LOVE=0, FLUID_LOVE=0, ITERATIONS=3, - POLAR=True, PLM=PLM, ASTYPE=np.float64, SCALE=1e-32, FILL_VALUE=0) + POLAR=True, PLM=PLM, FILL_VALUE=0) # 3) convert sea level fingerprints into spherical harmonics slf_Ylms = gravtk.gen_stokes(sea_level, landsea.lon, landsea.lat, UNITS=1, LMIN=0, LMAX=1, PLM=PLM[:2,:2,:], LOVE=LOVE) @@ -385,24 +387,16 @@ def kernel_degree_one(base_dir, LMAX, RAD, if (j >= 3): kern_j[j,:] = 1.0*fit_factor[j] # calculate ocean mass maps - rmass = np.dot(mphi.T,plm*kern_j) + rmass = np.dot(mphi.T, plm*kern_j) # Allocate for G matrix parameters # G matrix calculates the GRACE ocean mass variations G = gravtk.geocenter() - G.C10 = 0.0 - G.C11 = 0.0 - G.S11 = 0.0 # calculate G matrix parameters through a summation of each latitude - for n in range(0,nlat): - # C10, C11, S11 - PC10 = P10[i]*ccos[0,:] - PC11 = P11[i]*ccos[1,:] - PS11 = P11[i]*ssin[1,:] - # summation of integration factors, Legendre polynomials, - # (convolution of order and harmonics) and the ocean mass - G.C10 += np.sum(int_fact[n]*PC10*ocean_function[:,n]*rmass[:,n])/(4.0*np.pi) - G.C11 += np.sum(int_fact[n]*PC11*ocean_function[:,n]*rmass[:,n])/(4.0*np.pi) - G.S11 += np.sum(int_fact[n]*PS11*ocean_function[:,n]*rmass[:,n])/(4.0*np.pi) + # summation of integration factors, Legendre polynomials, + # (convolution of order and harmonics) and the ocean mass at t + G.C10 = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC10, ocean_function, rmass) + G.C11 = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC11, ocean_function, rmass) + G.S11 = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PS11, ocean_function, rmass) # G Matrix for time t GMAT = np.array([G.C10, G.C11, G.S11]) @@ -600,7 +594,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # maximum spherical harmonic degree and order parser.add_argument('--lmax','-l', diff --git a/geocenter/kernel_degree_one_error.py b/geocenter/kernel_degree_one_error.py index 795a33cd..54011580 100644 --- a/geocenter/kernel_degree_one_error.py +++ b/geocenter/kernel_degree_one_error.py @@ -733,7 +733,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # GRACE/GRACE-FO data processing center parser.add_argument('--center','-c', diff --git a/geocenter/model_degree_one.py b/geocenter/model_degree_one.py index ec788f15..a80c76a3 100755 --- a/geocenter/model_degree_one.py +++ b/geocenter/model_degree_one.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" model_degree_one.py -Written by Tyler Sutterley (01/2025) +Written by Tyler Sutterley (07/2026) Calculates degree 1 variations using synthetic coefficients of degree 2 and greater for testing the reliability of the algorithm @@ -120,6 +120,8 @@ https://doi.org/10.1029/2007JB005338 UPDATE HISTORY: + Updated 07/2026: use np.einsum for spherical harmonic summations + use np.radians to convert from degrees to radians Updated 01/2025: fixed deprecated tick label resizing Updated 09/2023: simplify I-matrix and G-matrix calculations Updated 05/2023: use pathlib to define and operate on paths @@ -208,12 +210,12 @@ def model_seasonal_geocenter(grace_date): SAPz = 75.0 # calculate each geocenter component from the amplitude and phase # converting the phase from degrees to radians - X = AAx*np.sin(2.0*np.pi*grace_date + APx*np.pi/180.0) + \ - SAAx*np.sin(4.0*np.pi*grace_date + SAPx*np.pi/180.0) - Y = AAy*np.sin(2.0*np.pi*grace_date + APy*np.pi/180.0) + \ - SAAy*np.sin(4.0*np.pi*grace_date + SAPy*np.pi/180.0) - Z = AAz*np.sin(2.0*np.pi*grace_date + APz*np.pi/180.0) + \ - SAAz*np.sin(4.0*np.pi*grace_date + SAPz*np.pi/180.0) + X = AAx*np.sin(2.0*np.pi*grace_date + np.radians(APx)) + \ + SAAx*np.sin(4.0*np.pi*grace_date + np.radians(SAPx)) + Y = AAy*np.sin(2.0*np.pi*grace_date + np.radians(APy)) + \ + SAAy*np.sin(4.0*np.pi*grace_date + np.radians(SAPy)) + Z = AAz*np.sin(2.0*np.pi*grace_date + np.radians(APz)) + \ + SAAz*np.sin(4.0*np.pi*grace_date + np.radians(SAPz)) DEG1 = gravtk.geocenter(X=X-X.mean(), Y=Y-Y.mean(), Z=Z-Z.mean()) return DEG1.from_cartesian() @@ -271,11 +273,11 @@ def model_degree_one(input_file, LMAX, RAD, dlon,dlat = landsea.spacing nlat, nlon = landsea.shape # spatial parameters in radians - dphi = dlon*np.pi/180.0 - dth = dlat*np.pi/180.0 + dphi = np.radians(dlon) + dth = np.radians(dlat) # longitude and colatitude in radians - phi = landsea.lon[np.newaxis,:]*np.pi/180.0 - th = (90.0 - np.squeeze(landsea.lat))*np.pi/180.0 + phi = np.radians(landsea.lon[np.newaxis,:]) + th = np.radians(90.0 - np.squeeze(landsea.lat)) # create land function land_function = np.zeros((nlon, nlat),dtype=np.float64) # extract land function from file @@ -326,12 +328,13 @@ def model_degree_one(input_file, LMAX, RAD, # Calculating cos/sin of phi arrays # output [m,phi] - m = data_Ylms.m[:, np.newaxis] + m = data_Ylms.m # Integration factors (solid angle) int_fact = np.sin(th)*dphi*dth - # Calculating cos(m*phi) and sin(m*phi) - ccos = np.cos(np.dot(m,phi)) - ssin = np.sin(np.dot(m,phi)) + # 4-pi normalization + norm = 1.0/(4.0*np.pi) + # calculating cos(m*phi) and sin(m*phi) using Euler's formula + m_phi = np.exp(1j * np.einsum("m...,p...->mp...", m, phi)) # Legendre polynomials for degree 1 P10 = np.squeeze(PLM[1,0,:]) @@ -339,34 +342,31 @@ def model_degree_one(input_file, LMAX, RAD, # PLM for spherical harmonic degrees 2+ up to LMAX # converted into mass and smoothed if specified plmout = np.zeros((LMAX+1, MMAX+1, nlat)) - for l in range(1,LMAX+1): - m = np.arange(0,np.min([l,MMAX])+1) - # convert to smoothed coefficients of mass - # Convolving plms with degree dependent factor and smoothing - plmout[l,m,:] = PLM[l,m,:]*dfactor[l]*wt[l] + # convert to smoothed coefficients of mass + # Convolving plms with degree dependent factor and smoothing + plmout[:] = np.einsum("l,l,lmh->lmh", dfactor, wt, PLM[:LMAX+1,:MMAX+1,:]) # Initializing 3x3 I-Parameter matrix - IMAT = np.zeros((3,3)) - # Calculating I-Parameter matrix by integrating over latitudes - # I-Parameter matrix accounts for the fact that the harmonic data only + # (see equations 12 and 13 of Swenson et al., 2008) + IMAT = np.zeros((3, 3)) + # I-Parameter matrix accounts for the fact that the GRACE data only # includes spherical harmonic degrees greater than or equal to 2 - for i in range(0,nlat): - # C10, C11, S11 - PC10 = P10[i]*ccos[0,:] - PC11 = P11[i]*ccos[1,:] - PS11 = P11[i]*ssin[1,:] - # C10: C10, C11, S11 (see equations 12 and 13 of Swenson et al., 2008) - IMAT[0,0] += np.sum(int_fact[i]*PC10*ocean_function[:,i]*PC10)/(4.0*np.pi) - IMAT[1,0] += np.sum(int_fact[i]*PC10*ocean_function[:,i]*PC11)/(4.0*np.pi) - IMAT[2,0] += np.sum(int_fact[i]*PC10*ocean_function[:,i]*PS11)/(4.0*np.pi) - # C11: C10, C11, S11 (see equations 12 and 13 of Swenson et al., 2008) - IMAT[0,1] += np.sum(int_fact[i]*PC11*ocean_function[:,i]*PC10)/(4.0*np.pi) - IMAT[1,1] += np.sum(int_fact[i]*PC11*ocean_function[:,i]*PC11)/(4.0*np.pi) - IMAT[2,1] += np.sum(int_fact[i]*PC11*ocean_function[:,i]*PS11)/(4.0*np.pi) - # S11: C10, C11, S11 (see equations 12 and 13 of Swenson et al., 2008) - IMAT[0,2] += np.sum(int_fact[i]*PS11*ocean_function[:,i]*PC10)/(4.0*np.pi) - IMAT[1,2] += np.sum(int_fact[i]*PS11*ocean_function[:,i]*PC11)/(4.0*np.pi) - IMAT[2,2] += np.sum(int_fact[i]*PS11*ocean_function[:,i]*PS11)/(4.0*np.pi) + # C10, C11, S11 + PC10 = np.einsum("h...,p...->ph...", P10, m_phi[0,:].real) + PC11 = np.einsum("h...,p...->ph...", P11, m_phi[1,:].real) + PS11 = np.einsum("h...,p...->ph...", P11, m_phi[1,:].imag) + # C10: C10, C11, S11 + IMAT[0,0] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC10, ocean_function, PC10) + IMAT[1,0] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC10, ocean_function, PC11) + IMAT[2,0] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC10, ocean_function, PS11) + # C11: C10, C11, S11 + IMAT[0,1] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC11, ocean_function, PC10) + IMAT[1,1] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC11, ocean_function, PC11) + IMAT[2,1] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC11, ocean_function, PS11) + # S11: C10, C11, S11 + IMAT[0,2] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PS11, ocean_function, PC10) + IMAT[1,2] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PS11, ocean_function, PC11) + IMAT[2,2] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PS11, ocean_function, PS11) # get seasonal variations of an initial geocenter correction # for use in the land water mass calculation @@ -400,29 +400,21 @@ def model_degree_one(input_file, LMAX, RAD, # calculate non-iterated terms for each file (G-matrix parameters) for t in range(n_files): # calculate geocenter component of ocean mass - # allocate for product of grace and legendre polynomials - pcos = np.zeros((MMAX+1, nlat))#-[m,lat] - psin = np.zeros((MMAX+1, nlat))#-[m,lat] # Summing product of plms and c/slms over all SH degrees >= 2 - for i in range(0, nlat): - l = np.arange(2,LMAX+1) - pcos[:,i] = np.sum(plmout[l,:,i]*data_Ylms.clm[l,:,t], axis=0) - psin[:,i] = np.sum(plmout[l,:,i]*data_Ylms.slm[l,:,t], axis=0) + Ylms = data_Ylms.index(t) + # subset GRACE to degrees 2+ for calculating ocean mass + l2 = slice(2, LMAX+1) + pconv = np.einsum("lmh...,lm...->mh...", plmout[l2, :, :], Ylms.ilm[l2, :]) # Multiplying by c/s(phi#m) to get surface density in cmwe (lon,lat) # ccos/ssin are mXphi, pcos/psin are mXtheta: resultant matrices are phiXtheta # The summation over spherical harmonic order is in this multiplication - rmass = np.dot(np.transpose(ccos),pcos) + np.dot(np.transpose(ssin),psin) + rmass = np.einsum("mp...,mh...->ph...", m_phi, pconv).real # calculate G matrix parameters through a summation of each latitude - for i in range(0,nlat): - # C10, C11, S11 - PC10 = P10[i]*ccos[0,:] - PC11 = P11[i]*ccos[1,:] - PS11 = P11[i]*ssin[1,:] - # summation of integration factors, Legendre polynomials, - # (convolution of order and harmonics) and the ocean mass at t - G.C10[t] += np.sum(int_fact[i]*PC10*ocean_function[:,i]*rmass[:,i])/(4.0*np.pi) - G.C11[t] += np.sum(int_fact[i]*PC11*ocean_function[:,i]*rmass[:,i])/(4.0*np.pi) - G.S11[t] += np.sum(int_fact[i]*PS11*ocean_function[:,i]*rmass[:,i])/(4.0*np.pi) + # summation of integration factors, Legendre polynomials, + # (convolution of order and harmonics) and the ocean mass at t + G.C10[t] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC10, ocean_function, rmass) + G.C11[t] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC11, ocean_function, rmass) + G.S11[t] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PS11, ocean_function, rmass) # calculate degree one solution for each iteration (or single if not) while (eps > eps_max) and (n_iter < max_iter): @@ -442,20 +434,15 @@ def model_degree_one(input_file, LMAX, RAD, data_Ylms.clm[1,1,t] = iteration.C11[t,n_iter-1] data_Ylms.slm[1,1,t] = iteration.S11[t,n_iter-1] - # allocate for product of grace and legendre polynomials - pcos = np.zeros((MMAX+1, nlat))#-[m,lat] - psin = np.zeros((MMAX+1, nlat))#-[m,lat] # Summing product of plms and c/slms over all SH degrees - for i in range(0, nlat): - l = np.arange(1,LMAX+1) - pcos[:,i] = np.sum(plmout[l,:,i]*data_Ylms.clm[l,:,t], axis=0) - psin[:,i] = np.sum(plmout[l,:,i]*data_Ylms.slm[l,:,t], axis=0) + Ylms = data_Ylms.index(t) + l1 = slice(1, LMAX+1) + pconv = np.einsum("lmh...,lm...->mh...", plmout[l1, :, :], Ylms.ilm[l1, :]) # Multiplying by c/s(phi#m) to get surface density in cm w.e. (lonxlat) - # this will be a spatial field similar to outputs from stokes_combine.py # ccos/ssin are mXphi, pcos/psin are mXtheta: resultant matrices are phiXtheta # The summation over spherical harmonic order is in this multiplication - lmass = np.dot(np.transpose(ccos),pcos) + np.dot(np.transpose(ssin),psin) + lmass = np.einsum("mp...,mh...->ph...", m_phi, pconv).real # use sea level fingerprints or eustatic from land components if FINGERPRINT: @@ -721,7 +708,8 @@ def arguments(): help='Input index file with spherical harmonic data files') # output working data directory parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for files') parser.add_argument('--file-prefix','-P', type=str, diff --git a/geocenter/monte_carlo_degree_one.py b/geocenter/monte_carlo_degree_one.py index 7ecb2b6f..7e6501fc 100644 --- a/geocenter/monte_carlo_degree_one.py +++ b/geocenter/monte_carlo_degree_one.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" monte_carlo_degree_one.py -Written by Tyler Sutterley (01/2025) +Written by Tyler Sutterley (07/2026) Calculates degree 1 errors using GRACE coefficients of degree 2 and greater, and ocean bottom pressure variations from OMCT/MPIOM in a Monte Carlo scheme @@ -157,6 +157,9 @@ https://doi.org/10.1029/2005GL025305 UPDATE HISTORY: + Updated 07/2026: use np.einsum for spherical harmonic summations + can remove sets of harmonic files from the GRACE/GRACE-FO data + use np.radians to convert from degrees to radians Updated 01/2025: fixed deprecated tick label resizing Updated 06/2024: use wrapper to importlib for optional dependencies Updated 10/2023: generalize mission variable to be GRACE/GRACE-FO @@ -263,12 +266,12 @@ def model_seasonal_geocenter(grace_date): SAPz = 75.0 # calculate each geocenter component from the amplitude and phase # converting the phase from degrees to radians - X = AAx*np.sin(2.0*np.pi*grace_date + APx*np.pi/180.0) + \ - SAAx*np.sin(4.0*np.pi*grace_date + SAPx*np.pi/180.0) - Y = AAy*np.sin(2.0*np.pi*grace_date + APy*np.pi/180.0) + \ - SAAy*np.sin(4.0*np.pi*grace_date + SAPy*np.pi/180.0) - Z = AAz*np.sin(2.0*np.pi*grace_date + APz*np.pi/180.0) + \ - SAAz*np.sin(4.0*np.pi*grace_date + SAPz*np.pi/180.0) + X = AAx*np.sin(2.0*np.pi*grace_date + np.radians(APx)) + \ + SAAx*np.sin(4.0*np.pi*grace_date + np.radians(SAPx)) + Y = AAy*np.sin(2.0*np.pi*grace_date + np.radians(APy)) + \ + SAAy*np.sin(4.0*np.pi*grace_date + np.radians(SAPy)) + Z = AAz*np.sin(2.0*np.pi*grace_date + np.radians(APz)) + \ + SAAz*np.sin(4.0*np.pi*grace_date + np.radians(SAPz)) DEG1 = gravtk.geocenter(X=X-X.mean(), Y=Y-Y.mean(), Z=Z-Z.mean()) return DEG1.from_cartesian() @@ -295,6 +298,9 @@ def monte_carlo_degree_one(base_dir, PROC, DREL, LMAX, RAD, DATAFORM=None, MEAN_FILE=None, MEANFORM=None, + REMOVE_FILES=None, + REMOVE_FORMAT=None, + REDISTRIBUTE_REMOVED=False, ERROR_FILES=[], SOLVER=None, FINGERPRINT=False, @@ -404,11 +410,11 @@ def monte_carlo_degree_one(base_dir, PROC, DREL, LMAX, RAD, dlon,dlat = landsea.spacing nlat, nlon = landsea.shape # spatial parameters in radians - dphi = dlon*np.pi/180.0 - dth = dlat*np.pi/180.0 + dphi = np.radians(dlon) + dth = np.radians(dlat) # longitude and colatitude in radians - phi = landsea.lon[np.newaxis,:]*np.pi/180.0 - th = (90.0 - np.squeeze(landsea.lat))*np.pi/180.0 + phi = np.radians(landsea.lon[np.newaxis,:]) + th = np.radians(90.0 - np.squeeze(landsea.lat)) # create land function land_function = np.zeros((nlon, nlat),dtype=np.float64) # extract land function from file @@ -505,6 +511,57 @@ def monte_carlo_degree_one(base_dir, PROC, DREL, LMAX, RAD, # save geocenter coefficients of the atmospheric jump corrections atm = gravtk.geocenter().from_harmonics(ATM_Ylms) + # input spherical harmonic datafiles to be removed from the GRACE data + # Remove sets of Ylms from the GRACE data before returning + remove_Ylms = GSM_Ylms.zeros_like() + remove_Ylms.time[:] = np.copy(GSM_Ylms.time) + remove_Ylms.month[:] = np.copy(GSM_Ylms.month) + if REMOVE_FILES: + # extend list if a single format was entered for all files + if len(REMOVE_FORMAT) < len(REMOVE_FILES): + REMOVE_FORMAT = REMOVE_FORMAT*len(REMOVE_FILES) + # for each file to be removed + for REMOVE_FILE,REMOVEFORM in zip(REMOVE_FILES,REMOVE_FORMAT): + if REMOVEFORM in ('ascii','netCDF4','HDF5'): + # ascii (.txt) + # netCDF4 (.nc) + # HDF5 (.H5) + Ylms = gravtk.harmonics().from_file(REMOVE_FILE, + format=REMOVEFORM) + attributes['lineage'].append(Ylms.filename) + elif REMOVEFORM in ('index-ascii','index-netCDF4','index-HDF5'): + # read from index file + _,removeform = REMOVEFORM.split('-') + # index containing files in data format + Ylms = gravtk.harmonics().from_index(REMOVE_FILE, + format=removeform) + attributes['lineage'].extend([f.name for f in Ylms.filename]) + # reduce to GRACE/GRACE-FO months and truncate to degree and order + Ylms = Ylms.subset(GSM_Ylms.month).truncate(lmax=LMAX, mmax=MMAX) + # remove the temporal mean of the coefficients + Ylms.mean(apply=True) + # distribute removed Ylms uniformly over the ocean + if REDISTRIBUTE_REMOVED: + # calculate ratio between total removed mass and + # a uniformly distributed cm of water over the ocean + ratio = Ylms.clm[0,0,:]/ocean_Ylms.clm[0,0] + # for each spherical harmonic + for m in range(0,MMAX+1):# MMAX+1 to include MMAX + for l in range(m,LMAX+1):# LMAX+1 to include LMAX + # remove the ratio*ocean Ylms from Ylms + # note: x -= y is equivalent to x = x - y + Ylms.clm[l,m,:] -= ratio*ocean_Ylms.clm[l,m] + Ylms.slm[l,m,:] -= ratio*ocean_Ylms.slm[l,m] + # filter removed coefficients + if DESTRIPE: + Ylms = Ylms.destripe() + # add data for month t and INDEX_FILE to the total + # remove_clm and remove_slm matrices + # redistributing the mass over the ocean if specified + remove_Ylms.add(Ylms) + # save geocenter coefficients of the auxiliary corrections + remove = gravtk.geocenter().from_harmonics(remove_Ylms) + # input spherical harmonic datafiles to be used in monte carlo error_Ylms = [] # for each file to be removed @@ -580,47 +637,45 @@ def monte_carlo_degree_one(base_dir, PROC, DREL, LMAX, RAD, # Calculating cos/sin of phi arrays # output [m,phi] - m = GSM_Ylms.m[:, np.newaxis] + m = GSM_Ylms.m # Integration factors (solid angle) int_fact = np.sin(th)*dphi*dth - # Calculating cos(m*phi) and sin(m*phi) - ccos = np.cos(np.dot(m,phi)) - ssin = np.sin(np.dot(m,phi)) + # 4-pi normalization + norm = 1.0/(4.0*np.pi) + # calculating cos(m*phi) and sin(m*phi) using Euler's formula + m_phi = np.exp(1j * np.einsum("m...,p...->mp...", m, phi)) # Legendre polynomials for degree 1 P10 = np.squeeze(PLM[1,0,:]) P11 = np.squeeze(PLM[1,1,:]) - # PLM for spherical harmonic degrees 2+ + # PLM for spherical harmonic degrees 2+ up to LMAX # converted into mass and smoothed if specified plmout = np.zeros((LMAX+1, MMAX+1, nlat)) - for l in range(1,LMAX+1): - m = np.arange(0,np.min([l,MMAX])+1) - # convert to smoothed coefficients of mass - # Convolving plms with degree dependent factor and smoothing - plmout[l,m,:] = PLM[l,m,:]*dfactor[l]*wt[l] + # convert to smoothed coefficients of mass + # Convolving plms with degree dependent factor and smoothing + plmout[:] = np.einsum("l,l,lmh->lmh", dfactor, wt, PLM[:LMAX+1,:MMAX+1,:]) # Initializing 3x3 I-Parameter matrix - IMAT = np.zeros((3,3)) - # Calculating I-Parameter matrix by integrating over latitudes + # (see equations 12 and 13 of Swenson et al., 2008) + IMAT = np.zeros((3, 3)) # I-Parameter matrix accounts for the fact that the GRACE data only # includes spherical harmonic degrees greater than or equal to 2 - for i in range(0,nlat): - # C10, C11, S11 - PC10 = P10[i]*ccos[0,:] - PC11 = P11[i]*ccos[1,:] - PS11 = P11[i]*ssin[1,:] - # C10: C10, C11, S11 (see equations 12 and 13 of Swenson et al., 2008) - IMAT[0,0] += np.sum(int_fact[i]*PC10*ocean_function[:,i]*PC10)/(4.0*np.pi) - IMAT[1,0] += np.sum(int_fact[i]*PC10*ocean_function[:,i]*PC11)/(4.0*np.pi) - IMAT[2,0] += np.sum(int_fact[i]*PC10*ocean_function[:,i]*PS11)/(4.0*np.pi) - # C11: C10, C11, S11 (see equations 12 and 13 of Swenson et al., 2008) - IMAT[0,1] += np.sum(int_fact[i]*PC11*ocean_function[:,i]*PC10)/(4.0*np.pi) - IMAT[1,1] += np.sum(int_fact[i]*PC11*ocean_function[:,i]*PC11)/(4.0*np.pi) - IMAT[2,1] += np.sum(int_fact[i]*PC11*ocean_function[:,i]*PS11)/(4.0*np.pi) - # S11: C10, C11, S11 (see equations 12 and 13 of Swenson et al., 2008) - IMAT[0,2] += np.sum(int_fact[i]*PS11*ocean_function[:,i]*PC10)/(4.0*np.pi) - IMAT[1,2] += np.sum(int_fact[i]*PS11*ocean_function[:,i]*PC11)/(4.0*np.pi) - IMAT[2,2] += np.sum(int_fact[i]*PS11*ocean_function[:,i]*PS11)/(4.0*np.pi) + # C10, C11, S11 + PC10 = np.einsum("h...,p...->ph...", P10, m_phi[0,:].real) + PC11 = np.einsum("h...,p...->ph...", P11, m_phi[1,:].real) + PS11 = np.einsum("h...,p...->ph...", P11, m_phi[1,:].imag) + # C10: C10, C11, S11 + IMAT[0,0] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC10, ocean_function, PC10) + IMAT[1,0] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC10, ocean_function, PC11) + IMAT[2,0] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC10, ocean_function, PS11) + # C11: C10, C11, S11 + IMAT[0,1] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC11, ocean_function, PC10) + IMAT[1,1] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC11, ocean_function, PC11) + IMAT[2,1] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC11, ocean_function, PS11) + # S11: C10, C11, S11 + IMAT[0,2] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PS11, ocean_function, PC10) + IMAT[1,2] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PS11, ocean_function, PC11) + IMAT[2,2] = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PS11, ocean_function, PS11) # get seasonal variations of an initial geocenter correction # for use in the land water mass calculation @@ -644,67 +699,56 @@ def monte_carlo_degree_one(base_dir, PROC, DREL, LMAX, RAD, Ylms.clm += (1.0-2.0*np.random.rand(LMAX+1,MMAX+1))*eYlms.clm Ylms.slm += (1.0-2.0*np.random.rand(LMAX+1,MMAX+1))*eYlms.slm - # Removing monthly GIA signal and atmospheric correction + # Removing monthly GIA signal, atmospheric correction + # and the auxiliary coefficients GRACE_Ylms = GSM_Ylms.index(t) GRACE_Ylms.subtract(GIA_Ylms.index(t)) GRACE_Ylms.subtract(ATM_Ylms.index(t)) + GRACE_Ylms.subtract(remove_Ylms.index(t)) + # combining GRACE/GRACE-FO with uncertainty for monte carlo run + GRACE_Ylms.add(Ylms) # G matrix calculates the GRACE ocean mass variations G = gravtk.geocenter() G.C10 = 0.0 G.C11 = 0.0 G.S11 = 0.0 - # calculate non-iterated terms (G-matrix parameters) - # calculate geocenter component of ocean mass with GRACE - # allocate for product of grace and legendre polynomials - pcos = np.zeros((MMAX+1, nlat))#-[m,lat] - psin = np.zeros((MMAX+1, nlat))#-[m,lat] - # Summing product of plms and c/slms over all SH degrees >= 2 - for i in range(0, nlat): - l = np.arange(2,LMAX+1) - pcos[:,i] = np.sum(plmout[l,:,i]*(GRACE_Ylms.clm[l,:]+Ylms.clm[l,:]), axis=0) - psin[:,i] = np.sum(plmout[l,:,i]*(GRACE_Ylms.slm[l,:]+Ylms.slm[l,:]), axis=0) + # subset GRACE to degrees 2+ for calculating ocean mass + l2 = slice(2, LMAX+1) + pconv = np.einsum("lmh...,lm...->mh...", plmout[l2, :, :], GRACE_Ylms.ilm[l2, :]) # Multiplying by c/s(phi#m) to get surface density in cmwe (lon,lat) # ccos/ssin are mXphi, pcos/psin are mXtheta: resultant matrices are phiXtheta # The summation over spherical harmonic order is in this multiplication - rmass = np.dot(np.transpose(ccos),pcos) + np.dot(np.transpose(ssin),psin) + rmass = np.einsum("mp...,mh...->ph...", m_phi, pconv).real # calculate G matrix parameters through a summation of each latitude - for i in range(0,nlat): - # C10, C11, S11 - PC10 = P10[i]*ccos[0,:] - PC11 = P11[i]*ccos[1,:] - PS11 = P11[i]*ssin[1,:] - # summation of integration factors, Legendre polynomials, - # (convolution of order and harmonics) and the ocean mass at t - G.C10 += np.sum(int_fact[i]*PC10*ocean_function[:,i]*rmass[:,i])/(4.0*np.pi) - G.C11 += np.sum(int_fact[i]*PC11*ocean_function[:,i]*rmass[:,i])/(4.0*np.pi) - G.S11 += np.sum(int_fact[i]*PS11*ocean_function[:,i]*rmass[:,i])/(4.0*np.pi) + # summation of integration factors, Legendre polynomials, + # (convolution of order and harmonics) and the ocean mass at t + G.C10 = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC10, ocean_function, rmass) + G.C11 = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PC11, ocean_function, rmass) + G.S11 = norm*np.einsum("h...,ph...,ph...,ph...->...", int_fact, PS11, ocean_function, rmass) # seasonal component of geocenter variation for land water GSM_Ylms.clm[1,0,t] = seasonal_geocenter.C10[t] GSM_Ylms.clm[1,1,t] = seasonal_geocenter.C11[t] GSM_Ylms.slm[1,1,t] = seasonal_geocenter.S11[t] - # Removing monthly GIA signal and atmospheric correction + # Removing monthly GIA signal, atmospheric correction + # and the auxiliary coefficients GRACE_Ylms = GSM_Ylms.index(t) GRACE_Ylms.subtract(GIA_Ylms.index(t)) GRACE_Ylms.subtract(ATM_Ylms.index(t)) + GRACE_Ylms.subtract(remove_Ylms.index(t)) + # combining GRACE/GRACE-FO with uncertainty for monte carlo run + GRACE_Ylms.add(Ylms) - # allocate for product of grace and legendre polynomials - pcos = np.zeros((MMAX+1, nlat))#-[m,lat] - psin = np.zeros((MMAX+1, nlat))#-[m,lat] - # Summing product of plms and c/slms over all SH degrees - for i in range(0, nlat): - # for land water: use an initial seasonal geocenter estimate - # from Chen et al. (1999) - l = np.arange(1,LMAX+1) - pcos[:,i] = np.sum(plmout[l,:,i]*(GRACE_Ylms.clm[l,:]+Ylms.clm[l,:]), axis=0) - psin[:,i] = np.sum(plmout[l,:,i]*(GRACE_Ylms.slm[l,:]+Ylms.slm[l,:]), axis=0) + # for land water: use an initial seasonal geocenter estimate + # from Chen et al. (1999) then the iterative if specified + l1 = slice(1, LMAX+1) + pconv = np.einsum("lmh...,lm...->mh...", plmout[l1, :, :], GRACE_Ylms.ilm[l1, :]) # Multiplying by c/s(phi#m) to get surface density in cm w.e. (lonxlat) - # this will be a spatial field similar to outputs from stokes_combine.py # ccos/ssin are mXphi, pcos/psin are mXtheta: resultant matrices are phiXtheta # The summation over spherical harmonic order is in this multiplication - lmass = np.dot(np.transpose(ccos),pcos) + np.dot(np.transpose(ssin),psin) + lmass = np.einsum("mp...,mh...->ph...", m_phi, pconv).real # use sea level fingerprints or eustatic from GRACE land components if FINGERPRINT: @@ -761,10 +805,13 @@ def monte_carlo_degree_one(base_dir, PROC, DREL, LMAX, RAD, elif SOLVER in ('gelsd', 'gelsy', 'gelss'): DMAT, res, rnk, s = scipy.linalg.lstsq(IMAT, (CMAT-GMAT), lapack_driver=SOLVER) - # save geocenter for iteration and time t after restoring GIA+ATM - iteration.C10[t,n_iter] = DMAT[0]+gia.C10[t]+atm.C10[t] - iteration.C11[t,n_iter] = DMAT[1]+gia.C11[t]+atm.C11[t] - iteration.S11[t,n_iter] = DMAT[2]+gia.S11[t]+atm.S11[t] + # save geocenter for iteration and time t after restoring fields + iteration.C10[t,n_iter] = DMAT[0]/dfactor[1] + \ + gia.C10[t] + atm.C10[t] + remove.C10[t] + iteration.C11[t,n_iter] = DMAT[1]/dfactor[1] + \ + gia.C11[t] + atm.C11[t] + remove.C11[t] + iteration.S11[t,n_iter] = DMAT[2]/dfactor[1] + \ + gia.S11[t] + atm.S11[t] + remove.S11[t] # remove mean of each solution for iteration iteration.C10[:,n_iter] -= iteration.C10[:,n_iter].mean() iteration.C11[:,n_iter] -= iteration.C11[:,n_iter].mean() @@ -866,6 +913,8 @@ def monte_carlo_degree_one(base_dir, PROC, DREL, LMAX, RAD, nc[key].setncattr(att_name, att_val) # define global attributes + for att_name, att_val in attributes.items(): + fileID.setncattr(att_name, att_val) fileID.date_created = time.strftime('%Y-%m-%d',time.localtime()) # close the output file fileID.close() @@ -1197,7 +1246,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # GRACE/GRACE-FO data processing center parser.add_argument('--center','-c', @@ -1311,6 +1361,19 @@ def arguments(): parser.add_argument('--mean-format', type=str, default='netCDF4', choices=['ascii','netCDF4','HDF5','gfc'], help='Input data format for GRACE/GRACE-FO mean file') + # monthly files to be removed from the GRACE/GRACE-FO data + parser.add_argument('--remove-file', + type=pathlib.Path, nargs='+', + help='Monthly files to be removed from the GRACE/GRACE-FO data') + choices = [] + choices.extend(['ascii','netCDF4','HDF5']) + choices.extend(['index-ascii','index-netCDF4','index-HDF5']) + parser.add_argument('--remove-format', + type=str, nargs='+', choices=choices, + help='Input data format for files to be removed') + parser.add_argument('--redistribute-removed', + default=False, action='store_true', + help='Redistribute removed mass fields over the ocean') # additional error files to be used in the monte carlo run parser.add_argument('--error-file', type=pathlib.Path, @@ -1396,6 +1459,9 @@ def main(): DATAFORM=args.format, MEAN_FILE=args.mean_file, MEANFORM=args.mean_format, + REMOVE_FILES=args.remove_file, + REMOVE_FORMAT=args.remove_format, + REDISTRIBUTE_REMOVED=args.redistribute_removed, ERROR_FILES=args.error_file, SOLVER=args.solver, FINGERPRINT=args.fingerprint, diff --git a/gravity_toolkit/SLR/C20.py b/gravity_toolkit/SLR/C20.py index 992018f6..48369361 100644 --- a/gravity_toolkit/SLR/C20.py +++ b/gravity_toolkit/SLR/C20.py @@ -330,7 +330,7 @@ def C20(SLR_file, AOD=True, HEADER=True): YY,MM,DD,hh,mm,ss = gravity_toolkit.time.convert_julian( MJD+2400000.5, format='tuple') # converting from month, day, year into decimal year - dinput['time'][t] = gravity_toolkit.time.convert_calendar_decimal( + dinput['time'][t], = gravity_toolkit.time.convert_calendar_decimal( YY, MM, day=DD, hour=hh) # Spherical Harmonic data for line dinput['data'][t] = np.float64(line_contents[2]) @@ -390,7 +390,7 @@ def C20(SLR_file, AOD=True, HEADER=True): YY,MM,DD,hh,mm,ss = gravity_toolkit.time.convert_julian( MJD+2400000.5, format='tuple') # converting from month, day, year into decimal year - date_conv[t] = gravity_toolkit.time.convert_calendar_decimal( + date_conv[t], = gravity_toolkit.time.convert_calendar_decimal( YY, MM, day=DD, hour=hh) # Spherical Harmonic data for line C20_input[t] = np.float64(line_contents[2]) diff --git a/gravity_toolkit/SLR/C30.py b/gravity_toolkit/SLR/C30.py index 84c2dda4..3cd9d3b7 100644 --- a/gravity_toolkit/SLR/C30.py +++ b/gravity_toolkit/SLR/C30.py @@ -161,7 +161,7 @@ def C30(SLR_file, C30_MEAN=9.5717395773300e-07, HEADER=True): YY,MM,DD,hh,mm,ss = gravity_toolkit.time.convert_julian( MJD+2400000.5, format='tuple') # converting from month, day, year into decimal year - dinput['time'][t] = gravity_toolkit.time.convert_calendar_decimal( + dinput['time'][t], = gravity_toolkit.time.convert_calendar_decimal( YY, MM, day=DD, hour=hh) # Spherical Harmonic data for line dinput['data'][t] = np.float64(line_contents[5]) diff --git a/gravity_toolkit/SLR/C50.py b/gravity_toolkit/SLR/C50.py index af93dada..53dff904 100644 --- a/gravity_toolkit/SLR/C50.py +++ b/gravity_toolkit/SLR/C50.py @@ -143,7 +143,7 @@ def C50(SLR_file, C50_MEAN=0.0, DATE=None, HEADER=True): YY,MM,DD,hh,mm,ss = gravity_toolkit.time.convert_julian( MJD+2400000.5, format='tuple') # converting from month, day, year into decimal year - dinput['time'][t] = gravity_toolkit.time.convert_calendar_decimal( + dinput['time'][t], = gravity_toolkit.time.convert_calendar_decimal( YY, MM, day=DD, hour=hh) # Spherical Harmonic data for line dinput['data'][t] = np.float64(line_contents[10]) diff --git a/gravity_toolkit/clenshaw_summation.py b/gravity_toolkit/clenshaw_summation.py index c7bbeaff..4315d322 100644 --- a/gravity_toolkit/clenshaw_summation.py +++ b/gravity_toolkit/clenshaw_summation.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" clenshaw_summation.py -Written by Tyler Sutterley (04/2023) +Written by Tyler Sutterley (07/2026) Calculates the spatial field for a series of spherical harmonics for a sequence of ungridded points @@ -49,6 +49,8 @@ Bollettino di Geodesia e Scienze (1982) UPDATE HISTORY: + Updated 07/2026: use np.einsum for spherical harmonic summations + use np.radians to convert from degrees to radians Updated 04/2023: allow love numbers to be None for custom units case Updated 03/2023: improve typing for variables in docstrings Updated 02/2023: set custom units as top option in if/else statements @@ -123,8 +125,8 @@ def clenshaw_summation(clm, slm, lon, lat, raise ValueError('Incompatible vector dimensions (lon, lat)') # calculate colatitude and longitude in radians - th = (90.0 - lat)*np.pi/180.0 - phi = np.squeeze(lon*np.pi/180.0) + th = np.radians(90.0 - lat) + phi = np.squeeze(np.radians(lon)) # calculate cos and sin of colatitudes t = np.cos(th) u = np.sin(th) @@ -134,7 +136,7 @@ def clenshaw_summation(clm, slm, lon, lat, # Gaussian Smoothing if (RAD != 0): - wl = 2.0*np.pi*gauss_weights(RAD,LMAX) + wl = 2.0*np.pi*gauss_weights(RAD, LMAX) else: # else = 1 wl = np.ones((LMAX+1)) @@ -154,43 +156,40 @@ def clenshaw_summation(clm, slm, lon, lat, else: raise ValueError(f'Unknown units {UNITS}') + # complex spherical harmonics + ylm = clm - 1j * slm + # smooth degree dependent factors + f = dfactor*wl # calculate arrays for clenshaw summations over colatitudes - s_m_c = np.zeros((npts,LMAX*2+2)) + cs_m = np.zeros((npts, LMAX+1), dtype=np.clongdouble) for m in range(LMAX, -1, -1): # convolve harmonics with unit factors and smoothing - s_m_c[:,2*m:2*m+2] = clenshaw_s_m(t, dfactor*wl, m, clm, slm, - LMAX, ASTYPE=ASTYPE, SCALE=SCALE) + cs_m[:, m] = _clenshaw(t, f, m, ylm, LMAX, SCALE=SCALE) # calculate cos(phi) cos_phi_2 = 2.0*np.cos(phi) - # matrix of cos/sin m*phi summation - cos_m_phi = np.zeros((npts,LMAX+2),dtype=ASTYPE) - sin_m_phi = np.zeros((npts,LMAX+2),dtype=ASTYPE) + # matrix of cos/sin m*phi summation (Euler's form) + m_phi = np.zeros((npts, LMAX+2), dtype=np.clongdouble) # initialize matrix with values at lmax+1 and lmax - cos_m_phi[:,LMAX+1] = np.cos(ASTYPE(LMAX + 1)*phi) - sin_m_phi[:,LMAX+1] = np.sin(ASTYPE(LMAX + 1)*phi) - cos_m_phi[:,LMAX] = np.cos(ASTYPE(LMAX)*phi) - sin_m_phi[:,LMAX] = np.sin(ASTYPE(LMAX)*phi) + m_phi[:,LMAX+1] = np.exp(1j * (LMAX + 1) * phi) + m_phi[:,LMAX] = np.exp(1j * LMAX*phi) # calculate summation for order LMAX - s_m = s_m_c[:,2*LMAX]*cos_m_phi[:,LMAX] + s_m_c[:,2*LMAX+1]*sin_m_phi[:,LMAX] + s_m = (cs_m[:,LMAX]*m_phi[:,LMAX]).real # iterate to calculate complete summation for m in range(LMAX-1, 0, -1): - cos_m_phi[:,m] = cos_phi_2*cos_m_phi[:,m+1] - cos_m_phi[:,m+2] - sin_m_phi[:,m] = cos_phi_2*sin_m_phi[:,m+1] - sin_m_phi[:,m+2] # calculate summation for order m - a_m = np.sqrt((2.0*m+3.0)/(2.0*m+2.0)) - s_m = a_m*u*s_m + s_m_c[:,2*m]*cos_m_phi[:,m] + s_m_c[:,2*m+1]*sin_m_phi[:,m] + m_phi[:,m] = cos_phi_2*m_phi[:,m+1] - m_phi[:,m+2] + a_m = np.sqrt((2.0*m + 3.0)/(2.0*m + 2.0)) + # update summation and discard imaginary component + s_m = a_m*u*s_m + (cs_m[:,m]*m_phi[:,m]).real # calculate spatial field - spatial = np.sqrt(3.0)*u*s_m + s_m_c[:,0] + spatial = np.sqrt(3.0)*u*s_m + cs_m[:,0].real # return the calculated spatial field return spatial -# PURPOSE: compute conditioned arrays for Clenshaw summation from the -# fully-normalized associated Legendre's function for an order m -def clenshaw_s_m(t, f, m, clm1, slm1, lmax, - ASTYPE=np.longdouble, - SCALE=1e-280 - ): +# PURPOSE: compute Clenshaw summation of the fully normalized associated +# Legendre's function for constant order m +def _clenshaw(t, f, m, Ylm1, lmax, SCALE=1e-280): """ Compute conditioned arrays for Clenshaw summation from the fully-normalized associated Legendre's function for an order m @@ -203,14 +202,10 @@ def clenshaw_s_m(t, f, m, clm1, slm1, lmax, degree dependent factors m: int spherical harmonic order - clm1: np.ndarray - cosine spherical harmonics - slm1: np.ndarray - sine spherical harmonics + Ylm1: np.ndarray + complex form of spherical harmonics lmax: int maximum spherical harmonic degree - ASTYPE: np.dtype, default np.longdouble - floating point precision for calculating Clenshaw summation SCALE: float, default 1e-280 scaling factor to prevent underflow in Clenshaw summation @@ -221,49 +216,40 @@ def clenshaw_s_m(t, f, m, clm1, slm1, lmax, """ # allocate for output matrix N = len(t) - s_m = np.zeros((N,2),dtype=ASTYPE) + s_m = np.zeros((N), dtype=np.clongdouble) # scaling to prevent overflow - clm = SCALE*clm1.astype(ASTYPE) - slm = SCALE*slm1.astype(ASTYPE) + ylm = SCALE*Ylm1.astype(np.clongdouble) # convert lmax and m to float - lm = ASTYPE(lmax) - mm = ASTYPE(m) + lm = np.float64(lmax) + mm = np.float64(m) if (m == lmax): - s_m[:,0] = f[lmax]*clm[lmax,lmax] - s_m[:,1] = f[lmax]*slm[lmax,lmax] + s_m[:] = f[lmax]*ylm[lmax,lmax] elif (m == (lmax-1)): a_lm = np.sqrt(((2.0*lm-1.0)*(2.0*lm+1.0))/((lm-mm)*(lm+mm)))*t - s_m[:,0] = a_lm*f[lmax]*clm[lmax,lmax-1] + f[lmax-1]*clm[lmax-1,lmax-1] - s_m[:,1] = a_lm*f[lmax]*slm[lmax,lmax-1] + f[lmax-1]*slm[lmax-1,lmax-1] + s_m[:] = a_lm*f[lmax]*ylm[lmax,lmax-1] + f[lmax-1]*ylm[lmax-1,lmax-1] elif ((m <= (lmax-2)) and (m >= 1)): - s_mm_c_pre_2 = f[lmax]*clm[lmax,m] - s_mm_s_pre_2 = f[lmax]*slm[lmax,m] + s_mm_minus_2 = f[lmax]*ylm[lmax,m] a_lm = np.sqrt(((2.0*lm-1.0)*(2.0*lm+1.0))/((lm-mm)*(lm+mm)))*t - s_mm_c_pre_1 = a_lm*s_mm_c_pre_2 + f[lmax-1]*clm[lmax-1,m] - s_mm_s_pre_1 = a_lm*s_mm_s_pre_2 + f[lmax-1]*slm[lmax-1,m] + s_mm_minus_1 = a_lm*s_mm_minus_2 + f[lmax-1]*ylm[lmax-1,m] for l in range(lmax-2, m-1, -1): - ll = ASTYPE(l) + ll = np.float64(l) a_lm=np.sqrt(((2.0*ll+1.0)*(2.0*ll+3.0))/((ll+1.0-mm)*(ll+1.0+mm)))*t b_lm=np.sqrt(((2.*ll+5.)*(ll+mm+1.)*(ll-mm+1.))/((ll+2.-mm)*(ll+2.+mm)*(2.*ll+1.))) - s_mm_c = a_lm * s_mm_c_pre_1 - b_lm * s_mm_c_pre_2 + f[l]*clm[l,m] - s_mm_s = a_lm * s_mm_s_pre_1 - b_lm * s_mm_s_pre_2 + f[l]*slm[l,m] - s_mm_c_pre_2 = np.copy(s_mm_c_pre_1) - s_mm_s_pre_2 = np.copy(s_mm_s_pre_1) - s_mm_c_pre_1 = np.copy(s_mm_c) - s_mm_s_pre_1 = np.copy(s_mm_s) - s_m[:,0] = np.copy(s_mm_c) - s_m[:,1] = np.copy(s_mm_s) + s_mm_l = a_lm * s_mm_minus_1 - b_lm * s_mm_minus_2 + f[l]*ylm[l,m] + s_mm_minus_2 = np.copy(s_mm_minus_1) + s_mm_minus_1 = np.copy(s_mm_l) + s_m[:] = np.copy(s_mm_l) elif (m == 0): - s_mm_c_pre_2 = f[lmax]*clm[lmax,0] + s_mm_minus_2 = f[lmax]*ylm[lmax,0] a_lm = np.sqrt(((2.0*lm-1.0)*(2.0*lm+1.0))/(lm*lm))*t - s_mm_c_pre_1 = a_lm * s_mm_c_pre_2 + f[lmax-1]*clm[lmax-1,0] + s_mm_minus_1 = a_lm * s_mm_minus_2 + f[lmax-1]*ylm[lmax-1,0] for l in range(lmax-2, m-1, -1): - ll = ASTYPE(l) + ll = np.float64(l) a_lm=np.sqrt(((2.0*ll+1.0)*(2.0*ll+3.0))/((ll+1.0)*(ll+1.0)))*t b_lm=np.sqrt(((2.0*ll+5.0)*(ll+1.0)*(ll+1.0))/((ll+2.0)*(ll+2.0)*(2.0*ll+1.0))) - s_mm_c = a_lm * s_mm_c_pre_1 - b_lm * s_mm_c_pre_2 + f[l]*clm[l,0] - s_mm_c_pre_2 = np.copy(s_mm_c_pre_1) - s_mm_c_pre_1 = np.copy(s_mm_c) - s_m[:,0] = np.copy(s_mm_c) - # return s_m rescaled with scalef + s_mm_l = a_lm * s_mm_minus_1 - b_lm * s_mm_minus_2 + f[l]*ylm[l,0] + s_mm_minus_2 = np.copy(s_mm_minus_1) + s_mm_minus_1 = np.copy(s_mm_l) + s_m[:] = np.copy(s_mm_l) + # return rescaled s_m return s_m/SCALE diff --git a/gravity_toolkit/fourier_legendre.py b/gravity_toolkit/fourier_legendre.py index 6cc8b5cd..44f60826 100755 --- a/gravity_toolkit/fourier_legendre.py +++ b/gravity_toolkit/fourier_legendre.py @@ -2,24 +2,25 @@ u""" fourier_legendre.py Original IDL code gen_plms.pro written by Sean Swenson -Adapted by Tyler Sutterley (03/2023) +Adapted by Tyler Sutterley (07/2026) Computes Fourier coefficients of the associated Legendre functions CALLING SEQUENCE: - plm = fourier_legendre(lmax,mmax) + Almk = fourier_legendre(lmax,mmax) INPUTS: lmax: maximum spherical harmonic degree mmax: maximum spherical harmonic order OUTPUTS: - plm: Fourier coefficients + Almk: Fourier coefficients PYTHON DEPENDENCIES: numpy: Scientific Computing Tools For Python (https://numpy.org) UPDATE HISTORY: + Updated 07/2027: add citations to docstrings Updated 03/2023: improve typing for variables in docstrings Updated 10/2022: add polynomial function for calculating gradients Updated 04/2022: updated docstrings to numpy documentation format @@ -34,6 +35,7 @@ def fourier_legendre(lmax, mmax): """ Computes Fourier coefficients of the associated Legendre functions + :cite:p:`Hofsommer:1960wg,Gruber:2016hn` Parameters ---------- @@ -44,12 +46,12 @@ def fourier_legendre(lmax, mmax): Returns ------- - plm: np.ndarray + Almk: np.ndarray Fourier coefficients """ # allocate for output fourier coefficients - plm = np.zeros((lmax+1,lmax+1,lmax+1)) + Almk = np.zeros((lmax+1,lmax+1,lmax+1)) l_even = np.arange(0,lmax+1,2) l_odd = np.arange(1,lmax,2) m_even = np.arange(0,mmax+1,2) @@ -57,100 +59,100 @@ def fourier_legendre(lmax, mmax): # First compute m=0, m=1 terms # Compute m = 0, l = even terms - plm[l_even,0,0] = 1.0 - p1 = (l_even*(l_even+1.0))*plm[l_even,0,0] - plm[l_even,0,2] = p1 / (l_even*(l_even+1.0)-2.0) + Almk[l_even,0,0] = 1.0 + a1 = (l_even*(l_even+1.0))*Almk[l_even,0,0] + Almk[l_even,0,2] = a1 / (l_even*(l_even+1.0)-2.0) for j in range(2,lmax,2):# equivalent to 2:lmax-2 - p1 = 2.0*(l_even*(l_even+1.0)-j**2.0)*plm[l_even,0,j] - p2 = ((j-2.0)*(j-1.0)-l_even*(l_even+1.0))*plm[l_even,0,j-2] + a1 = 2.0*(l_even*(l_even+1.0)-j**2.0)*Almk[l_even,0,j] + a2 = ((j-2.0)*(j-1.0)-l_even*(l_even+1.0))*Almk[l_even,0,j-2] dfactor = (l_even*(l_even+1.0)-(j+2.0)*(j+1.0)) - plm[l_even,0,j+2] = (p1 + p2) / dfactor + Almk[l_even,0,j+2] = (a1 + a2) / dfactor # Special case for j = 0 fourier coefficient - plm[l_even,0,0] = plm[l_even,0,0]/2.0 + Almk[l_even,0,0] = Almk[l_even,0,0]/2.0 # Normalize overall sum to 2 for m == 0 norm = np.zeros((len(l_even))) for j in range(0,lmax+2,2):# equivalent to 0:lmax - ptemp = np.squeeze(plm[l_even[:, np.newaxis],0,m_even]) + ptemp = np.squeeze(Almk[l_even[:, np.newaxis],0,m_even]) dtemp = 1.0/(1.0-j-m_even) + 1.0/(1.0+j-m_even) + \ 1.0/(1.0-j+m_even) + 1.0/(1.0+j+m_even) - norm[l_even//2] = norm[l_even//2] + plm[l_even,0,j] * \ + norm[l_even//2] = norm[l_even//2] + Almk[l_even,0,j] * \ np.dot(ptemp, dtemp)/2.0 - # normalize plms + # normalize Almks norm = np.sqrt(norm/2.0) for l in range(0,lmax+2,2):# equivalent to 0:lmax - plm[l,0,:] = plm[l,0,:]/norm[l//2] + Almk[l,0,:] = Almk[l,0,:]/norm[l//2] # Compute m = 0, l = odd terms - plm[l_odd,0,1] = 1.0 - p1 = (2.0-l_odd*(l_odd+1.0))*plm[l_odd,0,1] - plm[l_odd,0,3] = p1 / (6.0-l_odd*(l_odd+1.0)) + Almk[l_odd,0,1] = 1.0 + a1 = (2.0-l_odd*(l_odd+1.0))*Almk[l_odd,0,1] + Almk[l_odd,0,3] = a1 / (6.0-l_odd*(l_odd+1.0)) for j in range(3,lmax-1,2):# equivalent to 3:lmax-3 - p1 = 2.0*(l_odd*(l_odd+1.0)-j**2.0)*plm[l_odd,0,j] - p2 = ((j-2.0)*(j-1.0)-l_odd*(l_odd+1.0))*plm[l_odd,0,j-2] + a1 = 2.0*(l_odd*(l_odd+1.0)-j**2.0)*Almk[l_odd,0,j] + a2 = ((j-2.0)*(j-1.0)-l_odd*(l_odd+1.0))*Almk[l_odd,0,j-2] dfactor = (l_odd*(l_odd+1.0)-(j+2.0)*(j+1.0)) - plm[l_odd,0,j+2] = (p1 + p2) / dfactor + Almk[l_odd,0,j+2] = (a1 + a2) / dfactor # Normalize overall sum to 2 for m == 0 norm = np.zeros((len(l_odd))) for j in range(1,lmax+1,2):# equivalent to 1:lmax-1 - ptemp = np.squeeze(plm[l_odd[:, np.newaxis],0,m_odd]) + ptemp = np.squeeze(Almk[l_odd[:, np.newaxis],0,m_odd]) dtemp = 1.0/(1.0-j-m_odd) + 1.0/(1.0+j-m_odd) + \ 1.0/(1.0-j+m_odd) + 1.0/(1.0+j+m_odd) - norm[(l_odd-1)//2] = norm[(l_odd-1)//2] + plm[l_odd,0,j] * \ + norm[(l_odd-1)//2] = norm[(l_odd-1)//2] + Almk[l_odd,0,j] * \ np.dot(ptemp, dtemp)/2.0 - # normalize plms + # normalize Almks norm = np.sqrt(norm/2.0) for l in range(1,lmax+1,2):# equivalent to 1:lmax-1 - plm[l,0,:] = plm[l,0,:]/norm[(l-1)//2] + Almk[l,0,:] = Almk[l,0,:]/norm[(l-1)//2] # Compute m = 1, l = even terms - plm[l_even,1,0] = 0.0 - plm[l_even,1,2] = 1.0 + Almk[l_even,1,0] = 0.0 + Almk[l_even,1,2] = 1.0 for j in range(2,lmax,2):# equivalent to 2:lmax-2 - p1 = 2.0*(l_even*(l_even+1)-j**2.0-2.0)*plm[l_even,1,j] - p2 = ((j-2.0)*(j-1.0)-l_even*(l_even+1))*plm[l_even,1,j-2] + a1 = 2.0*(l_even*(l_even+1)-j**2.0-2.0)*Almk[l_even,1,j] + a2 = ((j-2.0)*(j-1.0)-l_even*(l_even+1))*Almk[l_even,1,j-2] dfactor = (l_even*(l_even+1.0)-(j+2.0)*(j+1.0)) - plm[l_even,1,j+2] = (p1 + p2) / dfactor + Almk[l_even,1,j+2] = (a1 + a2) / dfactor # Normalize overall sum to 4 for m == 1 # different norm than that of the cosine series norm = np.zeros((len(l_even))) for j in range(0,lmax+2,2):# equivalent to 0:lmax - ptemp = np.squeeze(plm[l_even[:, np.newaxis],1,m_even]) + ptemp = np.squeeze(Almk[l_even[:, np.newaxis],1,m_even]) dtemp = -1.0/(1.0-j-m_even) + 1.0/(1+j-m_even) + \ 1.0/(1.0-j+m_even) - 1.0/(1+j+m_even) - norm[l_even//2] = norm[l_even//2] + plm[l_even,1,j] * \ + norm[l_even//2] = norm[l_even//2] + Almk[l_even,1,j] * \ np.dot(ptemp, dtemp)/2.0 - # normalize plms + # normalize Almks norm = np.sqrt(norm/4.0) for l in range(0,lmax+2,2):# equivalent to 0:lmax - plm[l,1,:] = plm[l,1,:]/norm[l//2] + Almk[l,1,:] = Almk[l,1,:]/norm[l//2] # Compute m = 1, l = odd terms - plm[l_odd,1,1] = 1.0 - plm[l_odd,1,3] = 3.0*(l_odd*(l_odd+1)-2)*plm[l_odd,1,1]/(l_odd*(l_odd+1)-6) + Almk[l_odd,1,1] = 1.0 + Almk[l_odd,1,3] = 3.0*(l_odd*(l_odd+1)-2)*Almk[l_odd,1,1]/(l_odd*(l_odd+1)-6) for j in range(3,lmax-1,2):# equivalent to 3:lmax-3 - p1 = 2.0*(l_odd*(l_odd+1.0)-j**2.0-2.0)*plm[l_odd,1,j] - p2 = ((j-2.0)*(j-1.0)-l_odd*(l_odd+1.0))*plm[l_odd,1,j-2] + a1 = 2.0*(l_odd*(l_odd+1.0)-j**2.0-2.0)*Almk[l_odd,1,j] + a2 = ((j-2.0)*(j-1.0)-l_odd*(l_odd+1.0))*Almk[l_odd,1,j-2] dfactor = (l_odd*(l_odd+1.0)-(j+2.0)*(j+1.0)) - plm[l_odd,1,j+2] = (p1 + p2) / dfactor + Almk[l_odd,1,j+2] = (a1 + a2) / dfactor # Normalize overall sum to 4 for m == 1 norm = np.zeros((len(l_odd))) for j in range(1,lmax+1,2):# equivalent to 1:lmax-1 - ptemp = np.squeeze(plm[l_odd[:, np.newaxis],1,m_odd]) + ptemp = np.squeeze(Almk[l_odd[:, np.newaxis],1,m_odd]) dtemp = -1.0/(1.0-j-m_odd) + 1.0/(1.0+j-m_odd) + \ 1.0/(1.0-j+m_odd) - 1.0/(1.0+j+m_odd) - norm[(l_odd-1)//2] = norm[(l_odd-1)//2] + plm[l_odd,1,j] * \ + norm[(l_odd-1)//2] = norm[(l_odd-1)//2] + Almk[l_odd,1,j] * \ np.dot(ptemp, dtemp)/2.0 - # normalize plms + # normalize Almks norm = np.sqrt(norm/4.0) for l in range(1,lmax+1,2):# equivalent to 1:lmax-1 - plm[l,1,:] = plm[l,1,:]/norm[(l-1)//2] + Almk[l,1,:] = Almk[l,1,:]/norm[(l-1)//2] # Compute coefficients for m > 0 @@ -158,58 +160,58 @@ def fourier_legendre(lmax, mmax): m = 0 # m = 0, l = even terms for l in range(m,lmax-1):# equivalent to m:lmax-2 - p1 = np.sqrt((l+m+2.0)*(l+m+1.0)/(2.0*l+1.0))*plm[l,m,m_even] - p2 = np.sqrt((l-m+1.0)*(l-m+2.0)/(2.0*l+5.0))*plm[l+2,m,m_even] - p3 = np.sqrt((l-m)*(l-m-1.0)/(2.0*l+1.0)/2.0)*plm[l,m+2,m_even] + a1 = np.sqrt((l+m+2.0)*(l+m+1.0)/(2.0*l+1.0))*Almk[l,m,m_even] + a2 = np.sqrt((l-m+1.0)*(l-m+2.0)/(2.0*l+5.0))*Almk[l+2,m,m_even] + a3 = np.sqrt((l-m)*(l-m-1.0)/(2.0*l+1.0)/2.0)*Almk[l,m+2,m_even] dfactor = np.sqrt((l+m+4.0)*(l+m+3.0)/(2.0*l+5.0)/2.0) - plm[l+2,m+2,m_even] = (p1 - p2 + p3) / dfactor + Almk[l+2,m+2,m_even] = (a1 - a2 + a3) / dfactor # m = 0, l = odd terms for l in range(m+1,lmax-1):# equivalent to m+1:lmax-2 - p1 = np.sqrt((l+m+2.0)*(l+m+1.0)/(2.0*l+1.0))*plm[l,m,m_odd] - p2 = np.sqrt((l-m+1.0)*(l-m+2.0)/(2.0*l+5.0))*plm[l+2,m,m_odd] - p3 = np.sqrt((l-m)*(l-m-1.0)/(2.0*l+1.0)/2.0)*plm[l,m+2,m_odd] + a1 = np.sqrt((l+m+2.0)*(l+m+1.0)/(2.0*l+1.0))*Almk[l,m,m_odd] + a2 = np.sqrt((l-m+1.0)*(l-m+2.0)/(2.0*l+5.0))*Almk[l+2,m,m_odd] + a3 = np.sqrt((l-m)*(l-m-1.0)/(2.0*l+1.0)/2.0)*Almk[l,m+2,m_odd] dfactor = np.sqrt((l+m+4.0)*(l+m+3.0)/(2.0*l+5.0)/2.0) - plm[l+2,m+2,m_odd] = (p1 - p2 + p3) / dfactor + Almk[l+2,m+2,m_odd] = (a1 - a2 + a3) / dfactor # m = even terms for m in range(2,lmax,2):# equivalent to 2:lmax-2 # m = even, > 2, l = even terms for l in range(m,lmax,2):# equivalent to m:lmax-2 - p1 = np.sqrt((l+m+2.0)*(l+m+1.0)/(2.0*l+1.0))*plm[l,m,m_even] - p2 = np.sqrt((l-m+1.0)*(l-m+2.0)/(2.0*l+5.0))*plm[l+2,m,m_even] - p3 = np.sqrt((l-m)*(l-m-1.0)/(2.0*l+1.0))*plm[l,m+2,m_even] + a1 = np.sqrt((l+m+2.0)*(l+m+1.0)/(2.0*l+1.0))*Almk[l,m,m_even] + a2 = np.sqrt((l-m+1.0)*(l-m+2.0)/(2.0*l+5.0))*Almk[l+2,m,m_even] + a3 = np.sqrt((l-m)*(l-m-1.0)/(2.0*l+1.0))*Almk[l,m+2,m_even] dfactor = np.sqrt((l+m+4.0)*(l+m+3.0)/(2.0*l+5.0)) - plm[l+2,m+2,m_even] = (p1 - p2 + p3) / dfactor + Almk[l+2,m+2,m_even] = (a1 - a2 + a3) / dfactor # m = even, > 2, l = odd terms for l in range(m+1,lmax-1,2): - p1 = np.sqrt((l+m+2.0)*(l+m+1.0)/(2.0*l+1.0))*plm[l,m,m_odd] - p2 = np.sqrt((l-m+1.0)*(l-m+2.0)/(2.0*l+5.0))*plm[l+2,m,m_odd] - p3 = np.sqrt((l-m)*(l-m-1.0)/(2.0*l+1.0))*plm[l,m+2,m_odd] + a1 = np.sqrt((l+m+2.0)*(l+m+1.0)/(2.0*l+1.0))*Almk[l,m,m_odd] + a2 = np.sqrt((l-m+1.0)*(l-m+2.0)/(2.0*l+5.0))*Almk[l+2,m,m_odd] + a3 = np.sqrt((l-m)*(l-m-1.0)/(2.0*l+1.0))*Almk[l,m+2,m_odd] dfactor = np.sqrt((l+m+4.0)*(l+m+3.0)/(2.0*l+5.0)) - plm[l+2,m+2,m_odd] = (p1 - p2 + p3) / dfactor + Almk[l+2,m+2,m_odd] = (a1 - a2 + a3) / dfactor # m = odd terms for m in range(1,lmax-1,2):# equivalent to 1:lmax-3 # m = odd, > 1, l = even terms for l in range(m+1,lmax-1,2):# equivalent to m+1,lmax-2 - p1 = np.sqrt((l+m+2.0)*(l+m+1.0)/(2.0*l+1.0))*plm[l,m,m_even] - p2 = np.sqrt((l-m+1.0)*(l-m+2.0)/(2.0*l+5.0))*plm[l+2,m,m_even] - p3 = np.sqrt((l-m)*(l-m-1.0)/(2.0*l+1.0))*plm[l,m+2,m_even] + a1 = np.sqrt((l+m+2.0)*(l+m+1.0)/(2.0*l+1.0))*Almk[l,m,m_even] + a2 = np.sqrt((l-m+1.0)*(l-m+2.0)/(2.0*l+5.0))*Almk[l+2,m,m_even] + a3 = np.sqrt((l-m)*(l-m-1.0)/(2.0*l+1.0))*Almk[l,m+2,m_even] dfactor = np.sqrt((l+m+4.0)*(l+m+3.0)/(2.0*l+5.0)) - plm[l+2,m+2,m_even] = (p1 - p2 + p3) / dfactor + Almk[l+2,m+2,m_even] = (a1 - a2 + a3) / dfactor # m = odd, > 1, l = odd terms for l in range(m,lmax-1,2):# equivalent to m:lmax-2 - p1 = np.sqrt((l+m+2.0)*(l+m+1.0)/(2.0*l+1.0))*plm[l,m,m_odd] - p2 = np.sqrt((l-m+1.0)*(l-m+2.0)/(2.0*l+5.0))*plm[l+2,m,m_odd] - p3 = np.sqrt((l-m)*(l-m-1.0)/(2.0*l+1.0))*plm[l,m+2,m_odd] + a1 = np.sqrt((l+m+2.0)*(l+m+1.0)/(2.0*l+1.0))*Almk[l,m,m_odd] + a2 = np.sqrt((l-m+1.0)*(l-m+2.0)/(2.0*l+5.0))*Almk[l+2,m,m_odd] + a3 = np.sqrt((l-m)*(l-m-1.0)/(2.0*l+1.0))*Almk[l,m+2,m_odd] dfactor = np.sqrt((l+m+4.0)*(l+m+3.0)/(2.0*l+5.0)) - plm[l+2,m+2,m_odd] = (p1 - p2 + p3) / dfactor + Almk[l+2,m+2,m_odd] = (a1 - a2 + a3) / dfactor # return the fourier coefficients - return plm + return Almk def legendre_gradient(lmax, mmax): """ @@ -225,67 +227,40 @@ def legendre_gradient(lmax, mmax): Returns ------- - vlm: np.ndarray + Vlmk: np.ndarray Fourier coefficients for meridional gradients - wlm: np.ndarray + Wlmk: np.ndarray Fourier coefficients for zonal gradients """ - - plm = fourier_legendre(lmax, mmax) - vlm = np.zeros((lmax+1,lmax+1,lmax+1)) - wlm = np.zeros((lmax+1,lmax+1,lmax+1)) - - # l=0 zero by definition - lind = np.arange(1,lmax+1) - # m=0 special case - # terms with m=0, m=1 have different coefficients - vlm[lind,0,:] = 2.0*np.dot(np.diag(np.sqrt((lind+1)*lind/2.0)), plm[lind,1,:]) - - # m+1 terms - for l in range(2,lmax+1):# from 2 to lmax - m = np.arange(1,l)# from 1 to l-1 - lplus = np.arange(l+2,2*l+1)# from l+2 to 2*l - lminus = np.arange(l-1,0,-1)# from l-1 to 1 - vlm[l,m,:] = np.dot(np.diag(np.sqrt(lplus*lminus/4.0)), plm[l,m+1,:]) - - # m-1 terms, m-1=0 has different coefficients - vlm[lind,1,:] -= np.dot(np.diag(np.sqrt((lind+1)*lind/2.0)), plm[lind,0,:]) - - for l in range(2,lmax+1): - m = np.arange(2,l+1)# from 2 to l - lplus = np.arange(l+2,2*l+1)# from l+2 to 2*l - lminus = np.arange(l-1,0,-1)# from l-1 to 1 - vlm[l,m,:] -= np.dot(np.diag(np.sqrt(lplus*lminus/4.0)), plm[l,m-1,:]) - # normalizations - for l in range(1,lmax+1): - vlm[l,:,:] /= np.sqrt((l+1)*l) - - # m+1 terms - for l in range(2, lmax+1): - m = np.arange(1,l)# from 1 to l-1 - dfactor = (2.0*l+1.0)/(2.0*l-1.0) - lminus2 = np.arange(l-2,-1,-1)# from l-2 to 0 - lminus1 = np.arange(l-1,0,-1)# from l-1 to 1 - wlm[l,m,:] = np.sqrt(dfactor) * \ - np.dot(np.diag(np.sqrt(lminus2*lminus1/4.0)), plm[l,m+1,:]) - - # m-1 terms, m-1=0 has different coefficients - # m=1 term - for l in range(1, lmax+1): - dfactor = (2.0*l+1.0)/(2.0*l-1.0) - wlm[l,1,:] += np.sqrt(dfactor)*np.sqrt(l*(l+1)/2.0)*plm[l-1,0,:] - - for l in range(2,lmax+1): - m = np.arange(2,l+1) - dfactor = (2.0*l+1.0)/(2.0*l-1.0) - lplus2 = np.arange(l+2,2*l+1)# from l+2 to 2*l - lplus1 = np.arange(l+1,2*l)# from l+1 to (2*l-1) - wlm[l,m,:] += np.sqrt(dfactor) * \ - np.dot(np.diag(np.sqrt(lplus2*lplus1)/4.0), plm[l-1,m-1,:]) - # normalizations + # compute the fourier coefficients of the associated legendre functions + Almk = fourier_legendre(lmax, mmax) + # allocate for output fourier coefficients + Vlmk = np.zeros((lmax+1,lmax+1,lmax+1)) + Wlmk = np.zeros((lmax+1,lmax+1,lmax+1)) + # for each spherical harmonic degree for l in range(1, lmax+1): - wlm[l,:,:] /= np.sqrt((l+1)*l) - # normalize vlm - vlm[:,0,:] /= 2.0 - - return (vlm, wlm) + # degree dependent factor + dfactor = np.sqrt((2.0*l + 1.0)/(2.0*l - 1.0)) + # m=0 special case + Vfact = np.sqrt(l*(l + 1.0)/2.0) + Vlmk[l,0,:] = Vfact * Almk[l,1,:] + for m in range(2, l+1):# from 2 to l + Vfact = np.sqrt((l + m) * (l - m + 1.0) / 4.0) + Wfact = dfactor * np.sqrt((l - m) * (l - m + 1) / 4.0) + Vlmk[l,m-1,:] = Vfact * Almk[l,m,:] + Wlmk[l,m-1,:] = -Wfact * Almk[l-1,m,:] + # m = 1 terms + Vfact = np.sqrt(l*(l + 1.0)/2.0) + Wfact = dfactor * np.sqrt(l*(l + 1.0)/2.0) + Vlmk[l,1,:] -= Vfact*Almk[l,0,:] + Wlmk[l,1,:] += dfactor*Wfact*Almk[l-1,0,:] + for m in range(2, l + 1):# from 2 to l + Vfact = np.sqrt((l + m) * (l - m + 1.0) / 4.0) + Wfact = dfactor * np.sqrt((l + m) * (l + m - 1) / 4.0) + Vlmk[l,m,:] -= Vfact * Almk[l,m-1,:] + Wlmk[l,m,:] += Wfact * Almk[l-1,m-1,:] + # normalizations + Vlmk[l,:,:] /= np.sqrt(l * (l + 1.0)) + Wlmk[l,:,:] /= np.sqrt(l * (l + 1.0)) + # return the coefficients + return (Vlmk, Wlmk) diff --git a/gravity_toolkit/gen_disc_load.py b/gravity_toolkit/gen_disc_load.py index 474b1b3f..ca8de548 100644 --- a/gravity_toolkit/gen_disc_load.py +++ b/gravity_toolkit/gen_disc_load.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" gen_disc_load.py -Written by Tyler Sutterley (06/2023) +Written by Tyler Sutterley (07/2026) Calculates gravitational spherical harmonic coefficients for a uniform disc load CALLING SEQUENCE: @@ -55,6 +55,8 @@ https://doi.org/10.1007/s00190-011-0522-7 UPDATE HISTORY: + Updated 07/2026: use np.einsum for spherical harmonic summations + use np.radians to convert from degrees to radians Updated 06/2023: modified custom units case to not convert to cmwe Updated 03/2023: simplified unit degree factors using units class improve typing for variables in docstrings @@ -129,8 +131,8 @@ def gen_disc_load(data, lon, lat, area, LMAX=60, MMAX=None, UNITS=2, MMAX = np.copy(LMAX) # convert lon and lat to radians - phi = lon*np.pi/180.0# Longitude in radians - th = (90.0 - lat)*np.pi/180.0# Colatitude in radians + phi = np.radians(lon)# Longitude in radians + th = np.radians(90.0 - lat)# Colatitude in radians # Earth Parameters factors = gravity_toolkit.units(lmax=LMAX) @@ -204,29 +206,20 @@ def gen_disc_load(data, lon, lat, area, LMAX=60, MMAX=None, UNITS=2, # data normally is 1 for a uniform 1cm water equivalent layer # but can be a mass point if reconstructing a spherical harmonic field # NOTE: NOT a matrix multiplication as data (and phi) is a single point - dcos = unit_conv*data*np.cos(m*phi) - dsin = unit_conv*data*np.sin(m*phi) + d = unit_conv*data*np.exp(1j*m*phi) # Multiplying by plm_alpha (F_l from Jacob 2012) plm = np.zeros((LMAX+1, MMAX+1)) - # Initializing preliminary spherical harmonic matrices - yclm = np.zeros((LMAX+1, MMAX+1)) - yslm = np.zeros((LMAX+1, MMAX+1)) # Initializing output spherical harmonic matrices Ylms = gravity_toolkit.harmonics(lmax=LMAX, mmax=MMAX) - Ylms.clm = np.zeros((LMAX+1, MMAX+1)) - Ylms.slm = np.zeros((LMAX+1, MMAX+1)) - for m in range(0,MMAX+1):# MMAX+1 to include MMAX - l = np.arange(m,LMAX+1)# LMAX+1 to include LMAX - # rotate disc load to be centered at lat/lon - plm[l,m] = plmout[l,m]*pl_alpha[l] - # multiplying clm by cos(m*phi) and slm by sin(m*phi) - # to get a field of spherical harmonics - yclm[l,m] = plm[l,m]*dcos[m] - yslm[l,m] = plm[l,m]*dsin[m] - # multiplying by factors to convert to geoid coefficients - Ylms.clm[l,m] = dfactor[l]*yclm[l,m] - Ylms.slm[l,m] = dfactor[l]*yslm[l,m] + # rotate disc load to be centered at lat/lon + plm = np.einsum("lm...,l...->lm...", plmout, pl_alpha) + # multiplying clm by cos(m*phi) and slm by sin(m*phi) + # to get a field of spherical harmonics + ylm = np.einsum("lm...,m...->lm...", plm, d) + # Multiplying by factors to convert to fully normalized coefficients + Ylms.clm = np.einsum("l...,lm...->lm...", dfactor, ylm.real) + Ylms.slm = np.einsum("l...,lm...->lm...", dfactor, ylm.imag) # return the output spherical harmonics object return Ylms diff --git a/gravity_toolkit/gen_harmonics.py b/gravity_toolkit/gen_harmonics.py index 8044f695..f4d561cd 100644 --- a/gravity_toolkit/gen_harmonics.py +++ b/gravity_toolkit/gen_harmonics.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" gen_harmonics.py -Written by Tyler Sutterley (03/2023) +Written by Tyler Sutterley (07/2026) Converts data from the spatial domain to spherical harmonic coefficients Does not compute the solid Earth elastic response or convert units @@ -47,6 +47,8 @@ Associated Legendre Functions", Journal of Geodesy (2002) UPDATE HISTORY: + Updated 07/2026: use np.einsum for spherical harmonic summations + use np.radians to convert from degrees to radians Updated 03/2023: improve typing for variables in docstrings Updated 01/2023: refactored associated legendre polynomials Updated 04/2022: updated docstrings to numpy documentation format @@ -154,30 +156,20 @@ def integration(data, lon, lat, LMAX=60, MMAX=None, PLM=0, **kwargs): m: int spherical harmonic order to MMAX """ - - # dimensions of the longitude and latitude arrays - nlon = np.int64(len(lon)) - nlat = np.int64(len(lat)) - # grid step - dlon = np.abs(lon[1]-lon[0]) - dlat = np.abs(lat[1]-lat[0]) - # longitude degree spacing in radians - dphi = dlon*np.pi/180.0 - # colatitude degree spacing in radians - dth = dlat*np.pi/180.0 - - # reformatting longitudes to range 0:360 (if previously -180:180) - if np.count_nonzero(lon < 0): - lon[lon < 0] += 360.0 # calculate longitude and colatitude arrays in radians - phi = np.reshape(lon,(1,nlon))*np.pi/180.0# reshape to 1xnlon - th = (90.0 - np.squeeze(lat))*np.pi/180.0# remove singleton dimensions + phi = np.radians(np.squeeze(lon)) + th = np.radians(90.0 - np.squeeze(lat)) + # reformatting longitudes to range 0:360 (if previously -180:180) + phi = np.where(phi < 0, phi + 2.0*np.pi, phi) + # grid step in radians + dphi = np.abs(phi[1] - phi[0]) + dth = np.abs(th[1] - th[0]) - # Calculating cos/sin of phi arrays (output [m,phi]) # LMAX+1 as there are LMAX+1 elements between 0 and LMAX - m = np.arange(MMAX+1)[:, np.newaxis] - ccos = np.cos(np.dot(m,phi)) - ssin = np.sin(np.dot(m,phi)) + ll = np.arange(LMAX+1) + mm = np.arange(MMAX+1) + # Calculating cos/sin of phi arrays (output [m,phi]) + m_phi = np.exp(1j * np.einsum("m...,p...->mp...", mm, phi)) # Multiplying sin(th) with differentials of theta and phi # to calculate the integration factor at each latitude @@ -185,41 +177,24 @@ def integration(data, lon, lat, LMAX=60, MMAX=None, PLM=0, **kwargs): coeff = 1.0/(4.0*np.pi) # Calculate polynomials using Holmes and Featherstone (2002) relation - plm = np.zeros((LMAX+1, MMAX+1, nlat)) if (np.ndim(PLM) == 0): - plmout,dplm = plm_holmes(LMAX, np.cos(th)) - else: - # use precomputed plms to improve computational speed - # or to use a different recursion relation for polynomials - plmout = PLM - + PLM, dplm = plm_holmes(LMAX, np.cos(th)) # Multiply plms by integration factors [sin(theta)*dtheta*dphi] # truncate plms to maximum spherical harmonic order if MMAX < LMAX - m = np.arange(MMAX+1) - for j in range(0,nlat): - plm[:,m,j] = plmout[:,m,j]*int_fact[j] - - # Initializing preliminary spherical harmonic matrices - yclm = np.zeros((LMAX+1, MMAX+1)) - yslm = np.zeros((LMAX+1, MMAX+1)) + plm = np.einsum("lmh...,h...->lmh...", PLM[:LMAX+1,:MMAX+1,:], int_fact) # Initializing output spherical harmonic matrices Ylms = gravity_toolkit.harmonics(lmax=LMAX, mmax=MMAX) Ylms.clm = np.zeros((LMAX+1, MMAX+1)) Ylms.slm = np.zeros((LMAX+1, MMAX+1)) # Multiplying gridded data with sin/cos of m#phis (output [m,theta]) # This will sum through all phis in the dot product - dcos = np.dot(ccos,data) - dsin = np.dot(ssin,data) - for l in range(0,LMAX+1): - mm = np.min([MMAX,l])# truncate to MMAX if specified (if l > MMAX) - m = np.arange(0,mm+1)# mm+1 elements between 0 and mm - # Summing product of plms and data over all latitudes - yclm[l,m] = np.sum(plm[l,m,:]*dcos[m,:], axis=1) - yslm[l,m] = np.sum(plm[l,m,:]*dsin[m,:], axis=1) - # convert to output normalization (4-pi normalized harmonics) - Ylms.clm[l,m] = coeff*yclm[l,m] - Ylms.slm[l,m] = coeff*yslm[l,m] - + d = np.einsum("mp...,ph...->mh...", m_phi, data) + # Summing product of plms and data over all latitudes + ylm = np.einsum("lmh...,mh...->lm...", plm, d) + # convert to output normalization (4-pi normalized harmonics) + # truncate to MMAX if specified (if l > MMAX) + Ylms.clm = coeff*ylm.real[:LMAX+1, :MMAX+1] + Ylms.slm = coeff*ylm.imag[:LMAX+1, :MMAX+1] # return the output spherical harmonics object return Ylms @@ -257,139 +232,125 @@ def fourier(data, lon, lat, LMAX=60, MMAX=None, PLM=0, **kwargs): # dimensions of the longitude and latitude arrays nlon = np.int64(len(lon)) nlat = np.int64(len(lat)) - # remove singleton dimensions and convert to radians - phi = (np.squeeze(lon)*np.pi/180.0) - # Colatitude in radians - theta = ((90.0 - np.squeeze(lat))*np.pi/180.0) + # calculate longitude and colatitude arrays in radians + phi = np.radians(np.squeeze(lon)) + th = np.radians(90.0 - np.squeeze(lat)) + # reformatting longitudes to range 0:360 (if previously -180:180) + phi = np.where(phi < 0, phi + 2.0*np.pi, phi) + # grid step in radians + dphi = np.abs(phi[1] - phi[0]) + dth = np.abs(th[1] - th[0]) # MMAX+1 to include MMAX - mm = np.arange(MMAX+1)[:, np.newaxis] + mm = np.arange(MMAX+1) # Calculate cos and sin coefficients of signal - ccos = np.cos(np.dot(mm,phi[np.newaxis,:])) - ssin = np.sin(np.dot(mm,phi[np.newaxis,:])) - dcos = np.dot(ccos,data) - dsin = np.dot(ssin,data) - - # Normalize fourier coefficients - dcos[0,:] = dcos[0,:]/nlon - dcos[1:MMAX+1,:] = 2.0*dcos[1:MMAX+1,:]/nlon - dsin[0,:] = dsin[0,:]/nlon - dsin[1:MMAX+1,:] = 2.0*dsin[1:MMAX+1,:]/nlon + m_phi = np.exp(1j * np.einsum("m...,p...->mp...", mm, phi)) + d = np.einsum("mp...,ph...->mh...", m_phi, data) + # normalize coefficients + d[0, :] *= 1.0 / nlon + d[1:, :] *= 2.0 / nlon # Calculate cos and sin coefficients of theta component # Because the function is defined on (0,pi) # it can be expanded in just cosine terms. # this routine assumes that 0 and pi are not included - theta_cc = np.zeros((MMAX+1,MMAX+1)) - theta_sc = np.zeros((MMAX+1,MMAX+1)) - m_even = np.arange(0,MMAX+1,2) - m_odd = np.arange(1,MMAX,2) - n_even = len(m_even) - n_odd = len(m_odd) - - if np.isclose([theta[0],theta[nlat-1]],[0.0,np.pi]).all(): - # non-endpoints - nt = np.dot(mm,theta[1:nlat-1][np.newaxis,:]) - theta_cc[m_even,:] = 2.0*np.dot(dcos[m_even,1:nlat-1],np.cos(nt).T) - theta_sc[m_even,:] = 2.0*np.dot(dsin[m_even,1:nlat-1],np.cos(nt).T) - theta_cc[m_odd,:] = 2.0*np.dot(dcos[m_odd,1:nlat-1],np.sin(nt).T) - theta_sc[m_odd,:] = 2.0*np.dot(dsin[m_odd,1:nlat-1],np.sin(nt).T) + f = np.zeros((MMAX+1,MMAX+1), dtype=np.complex128) + m_even = slice(0, MMAX+1, 2) + m_odd = slice(1, MMAX, 2) + if np.isclose([th[0],th[nlat-1]], [0.0,np.pi]).all(): + # global case (includes poles) + # non-endpoints + k_th = np.exp(1j * np.einsum("h...,k...->kh...", th[1:nlat-1], mm)) + f[m_even,:] = 2.0*np.einsum("mh...,kh...->mk", d[m_even,1:nlat-1],k_th.real) + f[m_odd,:] = 2.0*np.einsum("mh...,kh...->mk", d[m_odd,1:nlat-1],k_th.imag) # endpoints - theta_cc[m_even,:] += np.dot((dcos[m_even,0]*np.cos(theta[0]) + - dcos[m_even,nlat-1]*np.cos(theta[nlat-1]))[:,np.newaxis], mm.T) - theta_sc[m_even,:] += np.dot((dsin[m_even,0]*np.cos(theta[0]) + - dsin[m_even,nlat-1]*np.cos(theta[nlat-1]))[:,np.newaxis], mm.T) - theta_cc[m_odd,:] += np.dot((dcos[m_odd,0]*np.sin(theta[0]) + - dcos[m_odd,nlat-1]*np.sin(theta[nlat-1]))[:,np.newaxis], mm.T) - theta_sc[m_odd,:] += np.dot((dsin[m_odd,0]*np.sin(theta[0]) + - dsin[m_odd,nlat-1]*np.sin(theta[nlat-1]))[:,np.newaxis], mm.T) - - elif not np.isclose([theta[0],theta[nlat-1]],[0.0,np.pi]).any(): - nt = np.dot(mm,theta[np.newaxis,:]) - theta_cc[m_even,:] = 2.0*np.dot(dcos[m_even,:],np.cos(nt).T) - theta_sc[m_even,:] = 2.0*np.dot(dsin[m_even,:],np.cos(nt).T) - theta_cc[m_odd,:] = 2.0*np.dot(dcos[m_odd,:],np.sin(nt).T) - theta_sc[m_odd,:] = 2.0*np.dot(dsin[m_odd,:],np.sin(nt).T) + k_th = np.exp(1j * mm* th[0]) + f[m_even,:] += np.einsum("m...,k...->mk", d[m_even,0], k_th) + f[m_odd,:] += np.einsum("m...,k...->mk", d[m_odd,0], k_th) + k_th = np.exp(1j * mm * th[nlat-1]) + f[m_even,:] += np.einsum("m...,k...->mk", d[m_even,nlat-1], k_th) + f[m_odd,:] += np.einsum("m...,k...->mk", d[m_odd,nlat-1], k_th) + elif not np.isclose([th[0],th[nlat-1]], [0.0,np.pi]).any(): + k_th = np.exp(1j * np.einsum("h...,k...->kh...", th, mm)) + f[m_even,:] = 2.0*np.einsum("mh...,kh...->mk", d[m_even,:],k_th.real) + f[m_odd,:] = 2.0*np.einsum("mh...,kh...->mk", d[m_odd,:],k_th.imag) else: raise ValueError('Latitude coordinates incompatible') # Normalize theta fourier coefficients - theta_cc[:,0] = theta_cc[:,0]/(2.0*nlat) - theta_cc[:,1:MMAX+1] = theta_cc[:,1:MMAX+1]/nlat - theta_sc[:,0] = theta_sc[:,0]/(2.0*nlat) - theta_sc[:,1:MMAX+1] = theta_sc[:,1:MMAX+1]/nlat - + f[:,0] *= 1.0/(2.0*nlat) + f[:,1:MMAX+1] *= 1.0/nlat # Correct normalization for the incomplete coverage of the sphere - delphi = np.abs(phi[1]-phi[0]) - deltheta = np.abs(theta[1]-theta[0]) - norm = nlon*delphi/(2.0*np.pi)*nlat*deltheta/np.pi - theta_cc = theta_cc*norm - theta_sc = theta_sc*norm + f[:] *= nlon*dphi/(2.0*np.pi) * nlat*dth/np.pi # Calculate cos and sin coefficients of Legendre functions # Expand m = even terms in a cosine series # Expand m = odd terms in a sine series # Both are stride 2 if (np.ndim(PLM) == 0): - plm = fourier_legendre(LMAX,MMAX) + Almk = fourier_legendre(LMAX, MMAX) else: - # use precomputed plms to improve computational speed - plm = PLM + # use precomputed alms to improve computational speed + Almk = PLM # Initializing output spherical harmonic matrices Ylms = gravity_toolkit.harmonics(lmax=LMAX, mmax=MMAX) Ylms.clm = np.zeros((LMAX+1, MMAX+1)) Ylms.slm = np.zeros((LMAX+1, MMAX+1)) - # Sum theta fourier coefficients - # temp is the integral of cos(n theta) cos(k theta) dcos(theta) - # over the interval 0 to pi - # n and k must have like parities - - # m = even terms - k_even = np.zeros((n_even,n_even)) - for n in range(0,MMAX+2,2): - k_even[:,n//2] = 0.5*(1.0/(1.0-m_even-n) + 1.0/(1.0+m_even-n) + - 1.0/(1.0-m_even+n) + 1.0/(1.0+m_even+n)) - - k_odd = np.zeros((n_odd,n_odd)) - for n in range(1,MMAX+1,2): - k_odd[:,(n-1)//2] = 0.5*(1.0/(1-m_odd-n) + 1.0/(1+m_odd-n) + - 1.0/(1-m_odd+n) + 1.0/(1+m_odd+n)) - # calculate spherical harmonics for m == even terms - l_even = np.arange(0,LMAX+1,2) - l_odd = np.arange(1,LMAX,2) - for m in range(0,MMAX+2,2): - temp = np.dot(plm[l_even,m,m_even[:,np.newaxis]].T,k_even) - Ylms.clm[l_even,m] = np.dot(theta_cc[m,m_even[:,np.newaxis]].T,temp.T) - Ylms.slm[l_even,m] = np.dot(theta_sc[m,m_even[:,np.newaxis]].T,temp.T) - temp = np.dot(plm[l_odd,m,m_odd[:,np.newaxis]].T,k_odd) - Ylms.clm[l_odd,m] = np.dot(theta_cc[m,m_odd[:,np.newaxis]].T,temp.T) - Ylms.slm[l_odd,m] = np.dot(theta_sc[m,m_odd[:,np.newaxis]].T,temp.T) - - # m = odd terms - k_even = np.zeros((n_even,n_even)) - for n in range(0,MMAX+2,2): - k_even[:,n//2] = 0.5*(-1.0/(1-m_even-n) + 1.0/(1.0+m_even-n) + - 1.0/(1.0-m_even+n) - 1.0/(1.0+m_even+n)) - - k_odd = np.zeros((n_odd,n_odd)) - for n in range(1,MMAX+1,2): - k_odd[:,(n-1)//2] = 0.5*(-1.0/(1-m_odd-n) + 1.0/(1.0+m_odd-n) + - 1.0/(1.0-m_odd+n) - 1.0/(1.0+m_odd+n)) + # even l terms (l even, m even, k even) + l_even = slice(0, LMAX+1, 2) + n_even = np.arange(m_even.start, m_even.stop, m_even.step) + k_even = np.zeros((len(n_even), len(n_even))) + for k in range(0,MMAX+2,2): + k_even[:,k//2] = 0.5*(1.0/(1.0-n_even-k) + 1.0/(1.0+n_even-k) + + 1.0/(1.0-n_even+k) + 1.0/(1.0+n_even+k)) + # calculate summation over coefficients + Aeven = np.einsum("lmk...,kn...->lmn...", Almk[l_even,m_even,m_even], k_even) + Yeven = np.einsum("lmn...,mn...->lm...", Aeven, f[m_even,m_even]) + Ylms.clm[l_even,m_even] = Yeven.real + Ylms.slm[l_even,m_even] = Yeven.imag + + # odd l terms (l odd, m even, k odd) + l_odd = slice(1, LMAX, 2) + n_odd = np.arange(m_odd.start, m_odd.stop, m_odd.step) + k_odd = np.zeros((len(n_odd), len(n_odd))) + for k in range(1, MMAX+1, 2): + k_odd[:,(k-1)//2] = 0.5*(1.0/(1.0-n_odd-k) + 1.0/(1.0+n_odd-k) + + 1.0/(1.0-n_odd+k) + 1.0/(1.0+n_odd+k)) + # calculate summation over coefficients + Aodd = np.einsum("lmk...,kn...->lmn...", Almk[l_odd,m_even,m_odd], k_odd) + Yodd = np.einsum("lmn...,mn...->lm...", Aodd, f[m_even,m_odd]) + Ylms.clm[l_odd,m_even] = Yodd.real + Ylms.slm[l_odd,m_even] = Yodd.imag # calculate spherical harmonics for m == odd terms - l_even = np.arange(2,LMAX+1,2)# do not in include l=0 - l_odd = np.arange(1,LMAX,2) - for m in range(1,MMAX+1,2): - temp = np.dot(plm[l_even,m,m_even[:,np.newaxis]].T,k_even) - Ylms.clm[l_even,m] = np.dot(theta_cc[m,m_even[:,np.newaxis]].T,temp.T) - Ylms.slm[l_even,m] = np.dot(theta_sc[m,m_even[:,np.newaxis]].T,temp.T) - temp = np.dot(plm[l_odd,m,m_odd[:,np.newaxis]].T,k_odd) - Ylms.clm[l_odd,m] = np.dot(theta_cc[m,m_odd[:,np.newaxis]].T,temp.T) - Ylms.slm[l_odd,m] = np.dot(theta_sc[m,m_odd[:,np.newaxis]].T,temp.T) + # even l terms (l even, m odd, k even) + l_even = slice(2, LMAX+1, 2)# do not in include l=0 + n_even = np.arange(m_even.start, m_even.stop, m_even.step) + k_even = np.zeros((len(n_even), len(n_even))) + for k in range(0,MMAX+2,2): + k_even[:,k//2] = 0.5*(-1.0/(1.0-n_even-k) + 1.0/(1.0+n_even-k) + + 1.0/(1.0-n_even+k) - 1.0/(1.0+n_even+k)) + Aeven = np.einsum("lmk...,kn...->lmn...", Almk[l_even,m_odd,m_even], k_even) + Yeven = np.einsum("lmn...,mn...->lm...", Aeven, f[m_odd,m_even]) + Ylms.clm[l_even,m_odd] = Yeven.real + Ylms.slm[l_even,m_odd] = Yeven.imag + + # odd l terms (l odd, m odd, k odd) + l_odd = slice(1, LMAX, 2) + n_odd = np.arange(m_odd.start, m_odd.stop, m_odd.step) + k_odd = np.zeros((len(n_odd), len(n_odd))) + for k in range(1,MMAX+1,2): + k_odd[:,(k-1)//2] = 0.5*(-1.0/(1.0-n_odd-k) + 1.0/(1.0+n_odd-k) + + 1.0/(1.0-n_odd+k) - 1.0/(1.0+n_odd+k)) + # calculate summation over coefficients + Aodd = np.einsum("lmk...,kn...->lmn...", Almk[l_odd,m_odd,m_odd], k_odd) + Yodd = np.einsum("lmn...,mn...->lm...", Aodd, f[m_odd,m_odd]) + Ylms.clm[l_odd,m_odd] = Yodd.real + Ylms.slm[l_odd,m_odd] = Yodd.imag # Divide by Plm normalization Ylms.clm[:,0] /= 2.0 diff --git a/gravity_toolkit/gen_point_load.py b/gravity_toolkit/gen_point_load.py index 78ff3de3..563e2807 100644 --- a/gravity_toolkit/gen_point_load.py +++ b/gravity_toolkit/gen_point_load.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" gen_point_load.py -Written by Tyler Sutterley (04/2023) +Written by Tyler Sutterley (07/2026) Calculates gravitational spherical harmonic coefficients for point masses CALLING SEQUENCE: @@ -47,6 +47,8 @@ https://doi.org/10.1029/JB078i011p01760 UPDATE HISTORY: + Updated 07/2026: use np.einsum for spherical harmonic summations + use np.radians to convert from degrees to radians Updated 04/2023: allow love numbers to be None for custom units case Updated 03/2023: improve typing for variables in docstrings Updated 02/2023: set custom units as top option in if/else statements @@ -107,8 +109,8 @@ def gen_point_load(data, lon, lat, LMAX=60, MMAX=None, UNITS=1, LOVE=None): # number of input data points npts = len(data.flatten()) # convert output longitude and latitude into radians - phi = np.pi*lon.flatten()/180.0 - theta = np.pi*(90.0 - lat.flatten())/180.0 + phi = np.radians(lon.flatten()) + theta = np.radians(90.0 - lat.flatten()) # extract degree dependent factor for specific units factors = gravity_toolkit.units(lmax=LMAX) @@ -137,7 +139,7 @@ def gen_point_load(data, lon, lat, LMAX=60, MMAX=None, UNITS=1, LOVE=None): # for each degree l for l in range(LMAX+1): m1 = np.min([l,MMAX]) + 1 - SPH = spherical_harmonic_matrix(l, D, phi, theta, dfactor[l]) + SPH = _complex_harmonics(l, D, phi, theta, dfactor[l]) # truncate to spherical harmonic order and save to output Ylms.clm[l,:m1] = SPH.real[:m1] Ylms.slm[l,:m1] = SPH.imag[:m1] @@ -145,7 +147,7 @@ def gen_point_load(data, lon, lat, LMAX=60, MMAX=None, UNITS=1, LOVE=None): return Ylms # calculate spherical harmonics of degree l evaluated at (theta,phi) -def spherical_harmonic_matrix(l, data, phi, theta, coeff): +def _complex_harmonics(l, data, phi, theta, coeff): """ Calculates the spherical harmonics for a particular degree evaluated from data at coordinates @@ -168,15 +170,15 @@ def spherical_harmonic_matrix(l, data, phi, theta, coeff): Ylms: np.ndarray spherical harmonic coefficients in Eulerian form """ - # calculate normalized legendre polynomials (points, order) - Pl = legendre(l, np.cos(theta), NORMALIZE=True).T + # calculate normalized legendre polynomials (order, points) + Pl = legendre(l, np.cos(theta), NORMALIZE=True) # spherical harmonic orders up to degree l m = np.arange(0, l+1) - # calculate Euler's of spherical harmonic order multiplied by azimuth phi - mphi = np.exp(1j*np.dot(np.squeeze(phi)[:,np.newaxis], m[np.newaxis,:])) - # reshape data to order - D = np.kron(np.ones((1, l+1)), data[:,np.newaxis]) - # calculate spherical harmonics and multiply by coefficients and data - Ylms = coeff*D*Pl*mphi - # calculate the sum over all points and return harmonics for degree l - return np.sum(Ylms, axis=0) + # calculate Euler's of order m multiplied by azimuth phi + m_phi = np.exp(1j * np.einsum("m...,p...->mp...", m, phi)) + # reshape data to (order, points) + D = np.kron(np.ones((l+1, 1)), data[np.newaxis, :]) + # calculate spherical harmonics summing over all points + Yl = np.einsum("mp...,mp...,mp...->m...", D, Pl, m_phi) + # return harmonics for degree l multiplied by coefficients + return coeff*Yl diff --git a/gravity_toolkit/gen_spherical_cap.py b/gravity_toolkit/gen_spherical_cap.py index bea477b9..cc95fd78 100755 --- a/gravity_toolkit/gen_spherical_cap.py +++ b/gravity_toolkit/gen_spherical_cap.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" gen_spherical_cap.py -Written by Tyler Sutterley (06/2023) +Written by Tyler Sutterley (07/2026) Calculates gravitational spherical harmonic coefficients for a spherical cap Creating a spherical cap with generating angle alpha is a 2 step process: @@ -61,6 +61,8 @@ https://doi.org/10.1007/s00190-011-0522-7 UPDATE HISTORY: + Updated 07/2026: use np.einsum for spherical harmonic summations + use np.radians to convert from degrees to radians Updated 06/2023: modified custom units case to not convert to cmwe Updated 03/2023: simplified unit degree factors using units class improve typing for variables in docstrings @@ -147,8 +149,8 @@ def gen_spherical_cap(data, lon, lat, LMAX=60, MMAX=None, MMAX = np.copy(LMAX) # convert lon and lat to radians - phi = lon*np.pi/180.0# Longitude in radians - th = (90.0 - lat)*np.pi/180.0# Colatitude in radians + phi = np.radians(lon)# Longitude in radians + th = np.radians(90.0 - lat)# Colatitude in radians # Earth Parameters factors = gravity_toolkit.units(lmax=LMAX) @@ -160,7 +162,7 @@ def gen_spherical_cap(data, lon, lat, LMAX=60, MMAX=None, if (RAD_CAP != 0): # if given spherical cap radius in degrees # converting to radians - alpha = RAD_CAP*np.pi/180.0 + alpha = np.radians(RAD_CAP) elif (AREA != 0): # if given spherical cap area in cm^2 # radius in centimeters @@ -231,12 +233,7 @@ def gen_spherical_cap(data, lon, lat, LMAX=60, MMAX=None, # this would be the plm for the center of the spherical cap # used to rotate the spherical cap to point lat/lon if PLM is None: - plmout,_ = plm_holmes(LMAX, np.cos(th)) - # truncate precomputed plms to order - plmout = np.squeeze(plmout[:,:MMAX+1,:]) - else: - # truncate precomputed plms to degree and order - plmout = PLM[:LMAX+1,:MMAX+1] + PLM, _ = plm_holmes(LMAX, np.cos(th)) # calculate array of m values ranging from 0 to MMAX (harmonic orders) # MMAX+1 as there are MMAX+1 elements between 0 and MMAX @@ -247,29 +244,20 @@ def gen_spherical_cap(data, lon, lat, LMAX=60, MMAX=None, # data normally is 1 for a uniform 1cm water equivalent layer # but can be a mass point if reconstructing a spherical harmonic field # NOTE: NOT a matrix multiplication as data (and phi) is a single point - dcos = unit_conv*data*np.cos(m*phi) - dsin = unit_conv*data*np.sin(m*phi) + d = unit_conv*data*np.exp(1j*m*phi) # Multiplying by plm_alpha (F_l from Jacob 2012) plm = np.zeros((LMAX+1, MMAX+1)) - # Initializing preliminary spherical harmonic matrices - yclm = np.zeros((LMAX+1, MMAX+1)) - yslm = np.zeros((LMAX+1, MMAX+1)) # Initializing output spherical harmonic matrices Ylms = gravity_toolkit.harmonics(lmax=LMAX, mmax=MMAX) - Ylms.clm = np.zeros((LMAX+1, MMAX+1)) - Ylms.slm = np.zeros((LMAX+1, MMAX+1)) - for m in range(0,MMAX+1):# MMAX+1 to include MMAX - l = np.arange(m,LMAX+1)# LMAX+1 to include LMAX - # rotate spherical cap to be centered at lat/lon - plm[l,m] = plmout[l,m]*pl_alpha[l] - # multiplying clm by cos(m*phi) and slm by sin(m*phi) - # to get a field of spherical harmonics - yclm[l,m] = plm[l,m]*dcos[m] - yslm[l,m] = plm[l,m]*dsin[m] - # multiplying by factors to convert to geoid coefficients - Ylms.clm[l,m] = dfactor[l]*yclm[l,m] - Ylms.slm[l,m] = dfactor[l]*yslm[l,m] + # rotate spherical cap to be centered at lat/lon + plm = np.einsum("lm...,l...->lm...", PLM[:LMAX+1,:MMAX+1], pl_alpha) + # multiplying clm by cos(m*phi) and slm by sin(m*phi) + # to get a field of spherical harmonics + ylm = np.einsum("lm...,m...->lm...", plm, d) + # Multiplying by factors to convert to fully normalized coefficients + Ylms.clm = np.einsum("l...,lm...->lm...", dfactor, ylm.real) + Ylms.slm = np.einsum("l...,lm...->lm...", dfactor, ylm.imag) # return the output spherical harmonics object return Ylms diff --git a/gravity_toolkit/gen_stokes.py b/gravity_toolkit/gen_stokes.py index 6b43f3fa..271c7e64 100755 --- a/gravity_toolkit/gen_stokes.py +++ b/gravity_toolkit/gen_stokes.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" gen_stokes.py -Written by Tyler Sutterley (04/2023) +Written by Tyler Sutterley (07/2026) Converts data from the spatial domain to spherical harmonic coefficients @@ -43,6 +43,8 @@ and filters the GRACE/GRACE-FO coefficients for striping errors UPDATE HISTORY: + Updated 07/2026: use np.einsum for spherical harmonic summations + use np.radians to convert from degrees to radians Updated 06/2025: copy latitude and longitude as float64 for numpy 2.0 stability Updated 04/2023: allow love numbers to be None for custom units case Updated 03/2023: improve typing for variables in docstrings @@ -129,25 +131,15 @@ def gen_stokes(data, lon, lat, LMIN=0, LMAX=60, MMAX=None, UNITS=1, # grid dimensions nlat = np.int64(len(lat)) - # grid step - dlon = np.abs(lon[1]-lon[0]) - dlat = np.abs(lat[1]-lat[0]) - # longitude degree spacing in radians - dphi = dlon*np.pi/180.0 - # colatitude degree spacing in radians - dth = dlat*np.pi/180.0 - - # convert latitude and longitude to float if integers - lon = lon.astype(np.float64) - lat = lat.astype(np.float64) - # reformatting longitudes to range 0:360 (if previously -180:180) - lon = np.squeeze(lon.copy()) - if np.any(lon < 0): - lon[lon < 0] += 360.0 # Longitude in radians - phi = lon[np.newaxis,:]*np.pi/180.0 - # Colatitude in radians - th = (90.0 - np.squeeze(lat.copy()))*np.pi/180.0 + phi = np.radians(np.squeeze(lon.copy())) + # reformatting longitudes to range 0:360 (if previously -180:180) + phi = np.where(phi < 0, phi + 2.0*np.pi, phi) + # colatitude in radians + th = np.radians(90.0 - np.squeeze(lat.copy())) + # grid step in radians + dphi = np.abs(phi[1] - phi[0]) + dth = np.abs(th[1] - th[0]) # reforming data to lonXlat if input latXlon sz = np.shape(data) @@ -181,9 +173,8 @@ def gen_stokes(data, lon, lat, LMIN=0, LMAX=60, MMAX=None, UNITS=1, # Calculating cos/sin of phi arrays # output [m,phi] - m = np.arange(MMAX+1) - ccos = np.cos(np.dot(m[:,np.newaxis],phi)) - ssin = np.sin(np.dot(m[:,np.newaxis],phi)) + mm = np.arange(MMAX+1) + m_phi = np.exp(1j * np.einsum("m...,p...->mp...", mm, phi)) # Calculating fully-normalized Legendre Polynomials # Output is plm[l,m,th] @@ -193,33 +184,20 @@ def gen_stokes(data, lon, lat, LMIN=0, LMAX=60, MMAX=None, UNITS=1, # if plms are not pre-computed: calculate Legendre polynomials PLM, dPLM = plm_holmes(LMAX, np.cos(th)) - # Multiplying by integration factors [sin(theta)*dtheta*dphi] - # truncate legendre polynomials to spherical harmonic order MMAX - for j in range(0,nlat): - plm[:,m,j] = PLM[:,m,j]*int_fact[j] + # truncate legendre polynomials to degree and order + plm = np.einsum("lmh...,h...->lmh...", PLM[:LMAX+1,:MMAX+1,:], int_fact) - # Initializing preliminary spherical harmonic matrices - yclm = np.zeros((LMAX+1, MMAX+1)) - yslm = np.zeros((LMAX+1, MMAX+1)) # Initializing output spherical harmonic matrices Ylms = gravity_toolkit.harmonics(lmax=LMAX, mmax=MMAX) - Ylms.clm = np.zeros((LMAX+1, MMAX+1)) - Ylms.slm = np.zeros((LMAX+1, MMAX+1)) # Multiplying gridded data with sin/cos of m#phis # This will sum through all phis in the dot product # output [m,theta] - dcos = np.dot(ccos,data) - dsin = np.dot(ssin,data) - for l in range(LMIN,LMAX+1):# equivalent to LMIN:LMAX - mm = np.min([MMAX,l])# truncate to MMAX if specified (if l > MMAX) - m = np.arange(0,mm+1)# mm+1 elements between 0 and mm - # Summing product of plms and data over all latitudes - # axis=1 signifies the direction of the summation - yclm[l,m] = np.sum(plm[l,m,:]*dcos[m,:], axis=1) - yslm[l,m] = np.sum(plm[l,m,:]*dsin[m,:], axis=1) - # Multiplying by factors to convert to fully normalized coefficients - Ylms.clm[l,m] = dfactor[l]*yclm[l,m] - Ylms.slm[l,m] = dfactor[l]*yslm[l,m] + d = np.einsum("mp...,ph...->mh...", m_phi, data) + # Summing product of plms and data over all latitudes + ylm = np.einsum("lmh...,mh...->lm...", plm, d) + # Multiplying by factors to convert to fully normalized coefficients + Ylms.clm = np.einsum("l...,lm...->lm...", dfactor, ylm.real) + Ylms.slm = np.einsum("l...,lm...->lm...", dfactor, ylm.imag) # return the output spherical harmonics object return Ylms \ No newline at end of file diff --git a/gravity_toolkit/geocenter.py b/gravity_toolkit/geocenter.py index 247b77ff..674c532b 100644 --- a/gravity_toolkit/geocenter.py +++ b/gravity_toolkit/geocenter.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" geocenter.py -Written by Tyler Sutterley (06/2024) +Written by Tyler Sutterley (07/2026) Data class for reading and processing geocenter data PYTHON DEPENDENCIES: @@ -15,6 +15,7 @@ https://github.com/yaml/pyyaml UPDATE HISTORY: + Updated 07/2026: add dunder (magic) methods for mathematical operations Updated 06/2024: use wrapper to importlib for optional dependencies Updated 05/2024: make subscriptable and allow item assignment Updated 09/2023: add group option to netCDF read function @@ -79,7 +80,7 @@ class geocenter(object): time variable of the spherical harmonics month: np.ndarray GRACE/GRACE-FO months variable of the spherical harmonics - radius: float, default 6371000.790009159 + radius: float, default 6371000790.009159 Average Radius of the Earth [mm] """ np.seterr(invalid='ignore') @@ -297,8 +298,8 @@ def from_SLR(self, geocenter_file, **kwargs): Reads monthly geocenter files from `satellite laser ranging provided by CSR `_ - - `RL04`: GCN_RL04.txt - - `RL05`: GCN_RL05.txt + - ``RL04``: GCN_RL04.txt + - ``RL05``: GCN_RL05.txt `New CF-CM geocenter dataset `_ @@ -1218,6 +1219,71 @@ def __str__(self): properties.append(f" end_month: {max(self.month)}") return '\n'.join(properties) + def __add__(self, other): + """Add values to a ``geocenter`` object""" + temp = self.copy() + return temp.add(other) + + def __div__(self, other): + """Divide values from a ``geocenter`` object""" + return self.__truediv__(other) + + def __iadd__(self, other): + """In-place add values to a ``geocenter`` object""" + return self.add(other) + + def __idiv__(self, other): + """In-place divide values from a ``geocenter`` object""" + return self.__itruediv__(other) + + def __imul__(self, other): + """In-place multiply values from a ``geocenter`` object""" + if isinstance(other, (int, float, np.ndarray)): + return self.scale(other) + else: + return self.multiply(other) + + def __ipow__(self, other): + """In-place raise values from a ``geocenter`` object to a power""" + return self.power(other) + + def __isub__(self, other): + """In-place subtract values from a ``geocenter`` object""" + return self.subtract(other) + + def __itruediv__(self, other): + """In-place divide values from a ``geocenter`` object""" + if isinstance(other, (int, float, np.ndarray)): + return self.scale(1.0 / other) + else: + return self.divide(other) + + def __mul__(self, other): + """Multiply values from a ``geocenter`` object""" + temp = self.copy() + if isinstance(other, (int, float, np.ndarray)): + return temp.scale(other) + else: + return temp.multiply(other) + + def __pow__(self, other): + """Raise values from a ``geocenter`` object to a power""" + temp = self.copy() + return temp.power(other) + + def __sub__(self, other): + """Subtract values from a ``geocenter`` object""" + temp = self.copy() + return temp.subtract(other) + + def __truediv__(self, other): + """Divide values from a ``geocenter`` object""" + temp = self.copy() + if isinstance(other, (int, float, np.ndarray)): + return temp.scale(1.0 / other) + else: + return temp.divide(other) + def __len__(self): """Number of months """ diff --git a/gravity_toolkit/grace_date.py b/gravity_toolkit/grace_date.py index 6201292f..40cade0b 100644 --- a/gravity_toolkit/grace_date.py +++ b/gravity_toolkit/grace_date.py @@ -108,7 +108,7 @@ import pathlib import argparse import numpy as np -import gravity_toolkit.time +import gravity_toolkit as gravtk # PURPOSE: parses GRACE/GRACE-FO data files and assigns month numbers def grace_date(base_dir, PROC='', DREL='', DSET='', OUTPUT=True, MODE=0o775): @@ -186,13 +186,13 @@ def grace_date(base_dir, PROC='', DREL='', DSET='', OUTPUT=True, MODE=0o775): for t,infile in enumerate(input_files): if PROC in ('GRAZ','Swarm',): # get date lists for the start and end of fields - start_date,end_date = gravity_toolkit.time.parse_gfc_file( + start_date,end_date = gravtk.time.parse_gfc_file( infile, PROC, DSET) # start and end year start_yr[t] = np.float64(start_date[0]) end_yr[t] = np.float64(end_date[0]) # number of days in each month for the calendar year - dpm = gravity_toolkit.time.calendar_days(start_yr[t]) + dpm = gravtk.time.calendar_days(start_yr[t]) # start and end day of the year start_day[t] = np.sum(dpm[:start_date[1]-1]) + start_date[2] + \ start_date[3]/24. + start_date[4]/1440. + start_date[5]/86400. @@ -200,7 +200,7 @@ def grace_date(base_dir, PROC='', DREL='', DSET='', OUTPUT=True, MODE=0o775): end_date[3]/24. + end_date[4]/1440. + end_date[5]/86400. else: # get date lists for the start and end of fields - start_date,end_date = gravity_toolkit.time.parse_grace_file(infile) + start_date,end_date = gravtk.time.parse_grace_file(infile) # start and end year start_yr[t] = np.float64(start_date[0]) end_yr[t] = np.float64(end_date[0]) @@ -209,17 +209,17 @@ def grace_date(base_dir, PROC='', DREL='', DSET='', OUTPUT=True, MODE=0o775): end_day[t] = np.float64(end_date[1]) # number of days in the starting year for leap and standard years - dpy = gravity_toolkit.time.calendar_days(start_yr[t]).sum() + dpy = gravtk.time.calendar_days(start_yr[t]).sum() # end date taking into account measurements taken on different years end_cyclic = (end_yr[t]-start_yr[t])*dpy + end_day[t] # calculate mid-month value mid_day[t] = np.mean([start_day[t], end_cyclic]) # calculate Modified Julian Day from start_yr and mid_day - MJD = gravity_toolkit.time.convert_calendar_dates(start_yr[t], + MJD = gravtk.time.convert_calendar_dates(start_yr[t], 1.0,mid_day[t],epoch=(1858,11,17,0,0,0)) # convert from Modified Julian Days to calendar dates - cal_date = gravity_toolkit.time.convert_julian(MJD+2400000.5) + cal_date = gravtk.time.convert_julian(MJD+2400000.5) # Calculating the mid-month date in decimal form tdec[t] = start_yr[t] + mid_day[t]/dpy @@ -233,7 +233,7 @@ def grace_date(base_dir, PROC='', DREL='', DSET='', OUTPUT=True, MODE=0o775): year = 2002 + iyr # add all days from prior years to count # number of days in year i (if leap year or standard year) - count += gravity_toolkit.time.calendar_days(year).sum() + count += gravtk.time.calendar_days(year).sum() # calculating the total number of days since 2002 tot_days[t] = np.mean([count+start_day[t], count+end_cyclic]) @@ -245,7 +245,7 @@ def grace_date(base_dir, PROC='', DREL='', DSET='', OUTPUT=True, MODE=0o775): # calculate the GRACE/GRACE-FO month (Apr02 == 004) # https://grace.jpl.nasa.gov/data/grace-months/ # Notes on special months (e.g. 119, 120) below - mon[t] = gravity_toolkit.time.calendar_to_grace( + mon[t] = gravtk.time.calendar_to_grace( cal_date['year'],cal_date['month']) # The 'Special Months' (Nov 2011, Dec 2011 and April 2012) with @@ -254,7 +254,7 @@ def grace_date(base_dir, PROC='', DREL='', DSET='', OUTPUT=True, MODE=0o775): # For CSR and GFZ: Nov 2011 (119) is centered in Oct 2011 (118) # For JPL: Dec 2011 (120) is centered in Jan 2012 (121) # For all: May 2015 (161) is centered in Apr 2015 (160) - mon = gravity_toolkit.time.adjust_months(mon) + mon = gravtk.time.adjust_months(mon) # Output GRACE/GRACE-FO date ascii file if OUTPUT: @@ -296,7 +296,8 @@ def arguments(): ) # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # Data processing center or satellite mission parser.add_argument('--center','-c', diff --git a/gravity_toolkit/grace_input_months.py b/gravity_toolkit/grace_input_months.py index 12cf35b7..3bc40197 100644 --- a/gravity_toolkit/grace_input_months.py +++ b/gravity_toolkit/grace_input_months.py @@ -682,7 +682,7 @@ def grace_input_months(base_dir, PROC, DREL, DSET, LMAX, start_mon, end_mon, for i,grace_month in enumerate(months): count = np.count_nonzero(C20_input['month'] == grace_month) if (count != 0): - k, = np.nonzero(C20_input['month'] == grace_month) + k, = np.flatnonzero(C20_input['month'] == grace_month) grace_Ylms['clm'][2,0,i] = np.copy(C20_input['data'][k]) grace_Ylms['eclm'][2,0,i] = np.copy(C20_input['error'][k]) @@ -697,7 +697,7 @@ def grace_input_months(base_dir, PROC, DREL, DSET, LMAX, start_mon, end_mon, for i,grace_month in enumerate(months): count = np.count_nonzero(C21_input['month'] == grace_month) if (count != 0) and (grace_month > 176): - k, = np.nonzero(C21_input['month'] == grace_month) + k, = np.flatnonzero(C21_input['month'] == grace_month) grace_Ylms['clm'][2,1,i] = np.copy(C21_input['C2m'][k]) grace_Ylms['slm'][2,1,i] = np.copy(C21_input['S2m'][k]) grace_Ylms['eclm'][2,1,i] = np.copy(C21_input['eC2m'][k]) @@ -714,7 +714,7 @@ def grace_input_months(base_dir, PROC, DREL, DSET, LMAX, start_mon, end_mon, for i,grace_month in enumerate(months): count = np.count_nonzero(C22_input['month'] == grace_month) if (count != 0) and (grace_month > 176): - k, = np.nonzero(C22_input['month'] == grace_month) + k, = np.flatnonzero(C22_input['month'] == grace_month) grace_Ylms['clm'][2,2,i] = np.copy(C22_input['C2m'][k]) grace_Ylms['slm'][2,2,i] = np.copy(C22_input['S2m'][k]) grace_Ylms['eclm'][2,2,i] = np.copy(C22_input['eC2m'][k]) @@ -731,7 +731,7 @@ def grace_input_months(base_dir, PROC, DREL, DSET, LMAX, start_mon, end_mon, for i,grace_month in enumerate(months): count = np.count_nonzero(C30_input['month'] == grace_month) if (count != 0) and (grace_month > 176): - k, = np.nonzero(C30_input['month'] == grace_month) + k, = np.flatnonzero(C30_input['month'] == grace_month) grace_Ylms['clm'][3,0,i] = np.copy(C30_input['data'][k]) grace_Ylms['eclm'][3,0,i] = np.copy(C30_input['error'][k]) @@ -746,7 +746,7 @@ def grace_input_months(base_dir, PROC, DREL, DSET, LMAX, start_mon, end_mon, for i,grace_month in enumerate(months): count = np.count_nonzero(C40_input['month'] == grace_month) if (count != 0) and (grace_month > 176): - k, = np.nonzero(C40_input['month'] == grace_month) + k, = np.flatnonzero(C40_input['month'] == grace_month) grace_Ylms['clm'][4,0,i] = np.copy(C40_input['data'][k]) grace_Ylms['eclm'][4,0,i] = np.copy(C40_input['error'][k]) @@ -761,7 +761,7 @@ def grace_input_months(base_dir, PROC, DREL, DSET, LMAX, start_mon, end_mon, for i,grace_month in enumerate(months): count = np.count_nonzero(C50_input['month'] == grace_month) if (count != 0) and (grace_month > 176): - k, = np.nonzero(C50_input['month'] == grace_month) + k, = np.flatnonzero(C50_input['month'] == grace_month) grace_Ylms['clm'][5,0,i] = np.copy(C50_input['data'][k]) grace_Ylms['eclm'][5,0,i] = np.copy(C50_input['error'][k]) @@ -790,7 +790,7 @@ def grace_input_months(base_dir, PROC, DREL, DSET, LMAX, start_mon, end_mon, raise IOError(f'No Matching Geocenter Months ({gm})') # for each considered date for i,grace_month in enumerate(months): - k, = np.nonzero(DEG1_input.month == grace_month) + k, = np.flatnonzero(DEG1_input.month == grace_month) count = np.count_nonzero(DEG1_input.month == grace_month) # Degree 1 is missing for particular month if (count == 0) and kwargs['MODEL_DEG1']: diff --git a/gravity_toolkit/grace_months_index.py b/gravity_toolkit/grace_months_index.py index 00531d70..f42fb585 100644 --- a/gravity_toolkit/grace_months_index.py +++ b/gravity_toolkit/grace_months_index.py @@ -69,7 +69,7 @@ import argparse import calendar import numpy as np -from gravity_toolkit.time import grace_to_calendar +import gravity_toolkit as gravtk def grace_months_index(base_dir, DREL=['RL06','rl06v2.0'], MODE=None): """ @@ -141,7 +141,7 @@ def grace_months_index(base_dir, DREL=['RL06','rl06v2.0'], MODE=None): # max_mon+1 to include max_mon for m in range(4, max_mon+1): # finding the month name e.g. Apr - calendar_year,calendar_month = grace_to_calendar(m) + calendar_year,calendar_month = gravtk.time.grace_to_calendar(m) month_string = calendar.month_abbr[calendar_month] # create list object for output string output_string = [] @@ -190,7 +190,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # GRACE/GRACE-FO data release parser.add_argument('--release','-r', diff --git a/gravity_toolkit/harmonic_gradients.py b/gravity_toolkit/harmonic_gradients.py index 8e0704b2..c78834d4 100644 --- a/gravity_toolkit/harmonic_gradients.py +++ b/gravity_toolkit/harmonic_gradients.py @@ -2,7 +2,7 @@ u""" harmonic_gradients.py Original IDL code calc_grad.pro written by Sean Swenson -Adapted by Tyler Sutterley (03/2023) +Adapted by Tyler Sutterley (07/2026) Calculates the zonal and meridional gradients of a scalar field from a series of spherical harmonics @@ -29,6 +29,8 @@ Legendre functions UPDATE HISTORY: + Updated 07/2026: use np.einsum for spherical harmonic summations + use np.radians to convert from degrees to radians Updated 03/2023: improve typing for variables in docstrings added geostrophic currents program from Wahr et al. (2002) Updated 10/2022: cleaned up program for public release @@ -48,7 +50,7 @@ def harmonic_gradients(clm1, slm1, lon, lat, LMIN=0, LMAX=60, MMAX=None): """ Calculates the gradient of a scalar field from a series of - spherical harmonics + spherical harmonics :cite:p:`Driscoll:1994bp` Parameters ---------- @@ -81,87 +83,50 @@ def harmonic_gradients(clm1, slm1, lon, lat, MMAX = np.copy(LMAX) # Longitude in radians - phi = (np.squeeze(lon)*np.pi/180.0)[np.newaxis,:] + phi = np.radians(np.squeeze(lon)) # Colatitude in radians - th = (90.0 - np.squeeze(lat))*np.pi/180.0 - thmax = len(np.squeeze(lat)) - phimax = len(np.squeeze(lon)) + th = np.radians(90.0 - np.squeeze(lat)) + thmax = len(th) + # spherical harmonic degree and order + ll = np.arange(0,LMAX+1)# lmax+1 to include lmax + mm = np.arange(0,MMAX+1)# mmax+1 to include mmax + # real (cosine) and imaginary (sine) components + Ylm = np.zeros((LMAX+1, MMAX+1), dtype=np.complex128) # Truncating harmonics to degree and order LMAX # removing coefficients below LMIN and above MMAX - mm = np.arange(0,MMAX+1) - clm = np.zeros((LMAX+1, MMAX+1)) - slm = np.zeros((LMAX+1, MMAX+1)) - clm[LMIN:LMAX+1,mm] = clm1[LMIN:LMAX+1,mm] - slm[LMIN:LMAX+1,mm] = slm1[LMIN:LMAX+1,mm] - # spherical harmonic degree and order - ll = np.arange(0,LMAX+1)[np.newaxis, :]# lmax+1 to include lmax - mm = np.arange(0,MMAX+1)[:, np.newaxis]# mmax+1 to include mmax + Ylm.real[LMIN:LMAX+1,:MMAX+1] = clm1[LMIN:LMAX+1,:MMAX+1].copy() + Ylm.imag[LMIN:LMAX+1,:MMAX+1] = -slm1[LMIN:LMAX+1,:MMAX+1].copy() + dlm = np.einsum("l...,lm...->lm", np.sqrt((ll+1.0)*ll), -1j*Ylm) # generate Vlm coefficients (vlm and wlm) - vlm, wlm = legendre_gradient(LMAX, MMAX) - - dlm = np.zeros((LMAX+1,LMAX+1,2)) - # minus sign is because lat and theta change with opposite sign - for l in range(0,LMAX+1): - dlm[l,:,0] = -clm[l,:]*np.sqrt((l+1.0)*l) - dlm[l,:,1] = -slm[l,:]*np.sqrt((l+1.0)*l) - - m_even = np.arange(0,MMAX+2,2) - m_odd = np.arange(1,MMAX,2) - + Vlmk, Wlmk = legendre_gradient(LMAX, MMAX) + # even and odd spherical harmonic orders + m_even = np.arange(0, MMAX+2, 2) + m_odd = np.arange(1, MMAX, 2) + + # Euler's formula for theta * k and m * phi + k_th = np.exp(1j * np.einsum("h...,k...->kh...", th, ll)) + m_phi = np.exp(1j * np.einsum("m...,p...->mp...", mm, phi)) # Calculate fourier coefficients from legendre coefficients - d_cos = np.zeros((LMAX+1,thmax,2)) - d_sin = np.zeros((LMAX+1,thmax,2)) - cnk = np.cos(np.dot(th[:,np.newaxis],ll)) - snk = np.sin(np.dot(th[:,np.newaxis],ll)) - - wtmp = np.zeros((len(m_even),LMAX+1,2)) - vtmp = np.zeros((len(m_even),LMAX+1,2)) - # m = even terms (vlm,wlm sine series) - for n in range(0,LMAX+1): - wtmp[:,n,0] = np.sum(wlm[:,m_even,n]*dlm[:,m_even,0],axis=0) - wtmp[:,n,1] = np.sum(wlm[:,m_even,n]*dlm[:,m_even,1],axis=0) - vtmp[:,n,0] = np.sum(vlm[:,m_even,n]*dlm[:,m_even,0],axis=0) - vtmp[:,n,1] = np.sum(vlm[:,m_even,n]*dlm[:,m_even,1],axis=0) - - d_cos[m_even,:,0] = np.dot(wtmp[:,:,1],np.transpose(snk)) - d_sin[m_even,:,0] = np.dot(-wtmp[:,:,0],np.transpose(snk)) - d_cos[m_even,:,1] = np.dot(vtmp[:,:,1],np.transpose(snk)) - d_sin[m_even,:,1] = np.dot(-vtmp[:,:,0],np.transpose(snk)) - - # m = odd terms (vlm,wlm cosine series) - wtmp = np.zeros((len(m_odd),LMAX+1,2)) - vtmp = np.zeros((len(m_odd),LMAX+1,2)) - for n in range(0,LMAX+1): - wtmp[:,n,0] = np.sum(wlm[:,m_odd,n]*dlm[:,m_odd,0],axis=0) - wtmp[:,n,1] = np.sum(wlm[:,m_odd,n]*dlm[:,m_odd,1],axis=0) - vtmp[:,n,0] = np.sum(vlm[:,m_odd,n]*dlm[:,m_odd,0],axis=0) - vtmp[:,n,1] = np.sum(vlm[:,m_odd,n]*dlm[:,m_odd,1],axis=0) - - d_cos[m_odd,:,0] = np.dot(wtmp[:,:,1],np.transpose(cnk)) - d_sin[m_odd,:,0] = np.dot(-wtmp[:,:,0],np.transpose(cnk)) - d_cos[m_odd,:,1] = np.dot(vtmp[:,:,1],np.transpose(cnk)) - d_sin[m_odd,:,1] = np.dot(-vtmp[:,:,0],np.transpose(cnk)) - - # Calculating cos(m*phi) and sin(m*phi) - ccos = np.cos(np.dot(mm,phi)) - ssin = np.sin(np.dot(mm,phi)) - # Final signal recovery from fourier coefficients - gradients = np.zeros((phimax,thmax,2)) - gradients[:,:,0] = np.dot(np.transpose(ccos), d_cos[:,:,0]) + \ - np.dot(np.transpose(ssin), d_sin[:,:,0]) - gradients[:,:,1] = np.dot(np.transpose(ccos), d_cos[:,:,1]) + \ - np.dot(np.transpose(ssin), d_sin[:,:,1]) - # return the gradient fields - return gradients + d = np.zeros((LMAX+1, thmax, 2), dtype=np.complex128) + wtmp = np.einsum("lmk...,lm...->mk", Wlmk[:,:MMAX+1,:], dlm) + vtmp = np.einsum("lmk...,lm...->mk", Vlmk[:,:MMAX+1,:], dlm) + d[m_even,:,0] = np.einsum("mk...,kh...->mh", wtmp[m_even,:], k_th.imag) + d[m_even,:,1] = np.einsum("mk...,kh...->mh", vtmp[m_even,:], k_th.imag) + d[m_odd,:,0] = np.einsum("mk...,kh...->mh", wtmp[m_odd,:], k_th.real) + d[m_odd,:,1] = np.einsum("mk...,kh...->mh", vtmp[m_odd,:], k_th.real) + # calculate the zonal and meridional gradients of the scalar field + gradients = np.einsum("mp...,mhd...->phd...", m_phi, d) + # return the gradient fields and drop imaginary component + return gradients.real def geostrophic_currents(clm1, slm1, lon, lat, LMIN=0, LMAX=60, MMAX=None, RAD=0, DENSITY=1.035, LOVE=None, PLM=None): r""" - Converts data from spherical harmonic coefficients to a - spatial fields of ocean geostrophic currents following + Converts data from spherical harmonic coefficients to spatial + fields of approximate ocean geostrophic currents following :cite:p:`Wahr:1998hy,Wahr:2002ie` Parameters @@ -205,10 +170,10 @@ def geostrophic_currents(clm1, slm1, lon, lat, MMAX = np.copy(LMAX) # Longitude in radians - phi = (np.squeeze(lon)*np.pi/180.0)[np.newaxis,:] + phi = np.radians(np.squeeze(lon)) phmax = len(lon) # colatitude in radians - th = (90.0 - np.squeeze(lat))*np.pi/180.0 + th = np.radians(90.0 - np.squeeze(lat)) thmax = len(th) # Gaussian Smoothing @@ -230,7 +195,8 @@ def geostrophic_currents(clm1, slm1, lon, lat, # smooth harmonics and convert to output units clm = np.zeros((LMAX+1, MMAX+1, 2)) slm = np.zeros((LMAX+1, MMAX+1, 2)) - # zonal flow harmonics + # zonal flow harmonics (equation 3) + # differentiating Legendre polynomials with respect to longitude for l in range(1, LMAX): # truncate to degree and order mm = np.arange(0, np.min([l,MMAX])+1) @@ -240,7 +206,8 @@ def geostrophic_currents(clm1, slm1, lon, lat, np.sqrt(((l+1)**2 - mm**2)*(2.0*l + 3.0)/(2.0*l + 1)) clm[l,mm,0] = coeff*wl[l]*(temp1*clm1[l-1,mm] - temp2*clm1[l+1,mm]) slm[l,mm,0] = coeff*wl[l]*(temp1*slm1[l-1,mm] - temp2*slm1[l+1,mm]) - # meridional flow harmonics + # meridional flow harmonics (equation 4) + # differentiating Legendre polynomials with respect to colatitude for l in range(0, LMAX+1): # truncate to degree and order mm = np.arange(0, np.min([l,MMAX])+1) @@ -251,32 +218,20 @@ def geostrophic_currents(clm1, slm1, lon, lat, # Truncating harmonics to degree and order LMAX # removing coefficients below LMIN and above MMAX mm = np.arange(0, MMAX+1) - clm[LMIN:LMAX+1,mm,:] = clm[LMIN:LMAX+1,mm,:] - slm[LMIN:LMAX+1,mm,:] = slm[LMIN:LMAX+1,mm,:] - - # Calculate fourier coefficients from legendre coefficients - d_cos = np.zeros((MMAX+1,thmax,2))# [m,th] - d_sin = np.zeros((MMAX+1,thmax,2))# [m,th] - for k in range(0,thmax): - # summation over all spherical harmonic degrees - temp = 1.0/(np.cos(th[k])*np.sin(th[k])) - # for each direction of flow - for d in range(2): - d_cos[:,k,d] = temp*np.sum(PLM[:,mm,k]*clm[:,mm,d],axis=0) - d_sin[:,k,d] = temp*np.sum(PLM[:,mm,k]*slm[:,mm,d],axis=0) - - # Final signal recovery from fourier coefficients - m = np.arange(0,MMAX+1)[:,np.newaxis] - # Calculating cos(m*phi) and sin(m*phi) - ccos = np.cos(np.dot(m,phi)) - ssin = np.sin(np.dot(m,phi)) + # real (cosine) and imaginary (sine) components + Ylm = clm[LMIN:LMAX+1,:MMAX+1,:] - 1j * slm[LMIN:LMAX+1,:MMAX+1,:] + # convolve legendre polynomials and truncate to degree and order + iint = 1.0/(np.cos(th)*np.sin(th)) + plm = np.einsum("h...,lmh...->lmh...", iint, PLM[LMIN:LMAX+1,:MMAX+1,:]) + # summation over all spherical harmonic degrees + pconv = np.einsum("lmh...,lmd...->mhd...", plm, Ylm) + + # calculating cos(m*phi) and sin(m*phi) using Euler's formula + m_phi = np.exp(1j * np.einsum("m...,p...->mp...", mm, phi)) # output geostrophic current fields - currents = np.zeros((phmax,thmax,2)) - # for each direction of flow - for d in range(2): - # summation of cosine and sine harmonics - currents[:,:,d] = np.dot(np.transpose(ccos),d_cos[:,:,d]) + \ - np.dot(np.transpose(ssin),d_sin[:,:,d]) + currents = np.empty((phmax,thmax,2)) + # summation of cosine and sine harmonics + currents[:] = np.einsum("mp...,mhd...->phd...", m_phi, pconv) - # return the current fields - return currents + # return the current fields and drop imaginary component + return currents.real diff --git a/gravity_toolkit/harmonic_summation.py b/gravity_toolkit/harmonic_summation.py index 3eed02ce..92d72224 100755 --- a/gravity_toolkit/harmonic_summation.py +++ b/gravity_toolkit/harmonic_summation.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" harmonic_summation.py -Written by Tyler Sutterley (03/2023) +Written by Tyler Sutterley (07/2026) Returns the spatial field for a series of spherical harmonics @@ -30,6 +30,8 @@ units.py: class for converting spherical harmonic data to specific units UPDATE HISTORY: + Updated 07/2026: use np.einsum for spherical harmonic summations + use np.radians to convert from degrees to radians Updated 04/2023: allow love numbers to be None for custom units case Updated 03/2023: allow units inputs to be strings for named types improve typing for variables in docstrings @@ -85,41 +87,32 @@ def harmonic_summation(clm1, slm1, lon, lat, if MMAX is None: MMAX = np.copy(LMAX) - # Longitude in radians - phi = (np.squeeze(lon)*np.pi/180.0)[np.newaxis,:] + # longitude in radians + phi = np.radians(np.squeeze(lon)) # colatitude in radians - th = (90.0 - np.squeeze(lat))*np.pi/180.0 - thmax = len(th) + th = np.radians(90.0 - np.squeeze(lat)) # if plms are not pre-computed: calculate Legendre polynomials if PLM is None: PLM, dPLM = plm_holmes(LMAX, np.cos(th)) + # spherical harmonic order + mm = np.arange(0,MMAX+1)# mmax+1 to include mmax + # real (cosine) and imaginary (sine) components + Ylm = np.zeros((LMAX+1, MMAX+1), dtype=np.complex128) # Truncating harmonics to degree and order LMAX # removing coefficients below LMIN and above MMAX - mm = np.arange(0, MMAX+1) - clm = np.zeros((LMAX+1, MMAX+1)) - slm = np.zeros((LMAX+1, MMAX+1)) - clm[LMIN:LMAX+1,mm] = clm1[LMIN:LMAX+1,mm] - slm[LMIN:LMAX+1,mm] = slm1[LMIN:LMAX+1,mm] + Ylm.real[LMIN:LMAX+1,mm] = clm1[LMIN:LMAX+1,mm] + Ylm.imag[LMIN:LMAX+1,mm] = -slm1[LMIN:LMAX+1,mm] # Calculate fourier coefficients from legendre coefficients - d_cos = np.zeros((MMAX+1,thmax))# [m,th] - d_sin = np.zeros((MMAX+1,thmax))# [m,th] - for k in range(0,thmax): - # summation over all spherical harmonic degrees - d_cos[:,k] = np.sum(PLM[:,mm,k]*clm[:,mm],axis=0) - d_sin[:,k] = np.sum(PLM[:,mm,k]*slm[:,mm],axis=0) - - # Final signal recovery from fourier coefficients - m = np.arange(0,MMAX+1)[:,np.newaxis] - # Calculating cos(m*phi) and sin(m*phi) - ccos = np.cos(np.dot(m,phi)) - ssin = np.sin(np.dot(m,phi)) + # summation over all spherical harmonic degrees + pconv = np.einsum("lmh...,lm...->mh...", PLM[:LMAX+1,:MMAX+1,:], Ylm) + # calculating cos(m*phi) and sin(m*phi) using Euler's formula + m_phi = np.exp(1j * np.einsum("m...,p...->mp...", mm, phi)) # summation of cosine and sine harmonics - s = np.dot(np.transpose(ccos),d_cos) + np.dot(np.transpose(ssin),d_sin) - - # return output data - return s + spatial = np.einsum("mp...,mh...->ph...", m_phi, pconv) + # return output data and drop imaginary component + return spatial.real def harmonic_transform(clm1, slm1, lon, lat, LMIN=0, LMAX=60, MMAX=None, PLM=None): @@ -164,30 +157,26 @@ def harmonic_transform(clm1, slm1, lon, lat, # number of longitudinal points phimax = len(np.squeeze(lon)) # colatitude in radians - th = (90.0 - np.squeeze(lat))*np.pi/180.0 + th = np.radians(90.0 - np.squeeze(lat)) thmax = len(th) # if plms are not pre-computed: calculate Legendre polynomials if PLM is None: - PLM, dPLM = plm_holmes(LMAX, np.cos(th)) + PLM, _ = plm_holmes(LMAX, np.cos(th)) - # combined Ylms and Fourier coefficients (complex) - Ylms = np.zeros((LMAX+1, MMAX+1),dtype=np.complex128) - delta_M = np.zeros((MMAX+1,thmax),dtype=np.complex128)# [m,th] - # Real (cosine) and imaginary (sine) components + # real (cosine) and imaginary (sine) components + Ylm = np.zeros((LMAX+1, MMAX+1), dtype=np.complex128) # Truncating harmonics to degree and order LMAX # removing coefficients below LMIN and above MMAX - Ylms[LMIN:LMAX+1,:MMAX+1] = clm1[LMIN:LMAX+1,0:MMAX+1] - \ - slm1[LMIN:LMAX+1,0:MMAX+1]*1j + Ylm.real[LMIN:LMAX+1,:MMAX+1] = clm1[LMIN:LMAX+1,:MMAX+1] + Ylm.imag[LMIN:LMAX+1,:MMAX+1] = -slm1[LMIN:LMAX+1,:MMAX+1] # calculate Ylms summation for each theta band - for k in range(0,thmax): - # summation over all spherical harmonic degrees - delta_M[:,k] = np.sum(PLM[:,:,k]*Ylms[:,:],axis=0)/2.0 + d = np.einsum("lmh...,lm...->mh...", PLM[:LMAX+1,:MMAX+1,:], Ylm / 2.0) # output spatial field from FFT transformation - s = np.zeros((phimax,thmax)) + s = np.zeros((phimax, thmax)) # calculate fft for each theta band (over phis with axis=0) - s[:-1,:] = 2.0*(phimax-1)*np.fft.ifft(delta_M,n=phimax-1,axis=0).real + s[:-1,:] = 2.0*(phimax-1)*np.fft.ifft(d, n=phimax-1, axis=0).real # complete sphere (values at 360 == values at 0) s[-1,:] = s[0,:] @@ -269,14 +258,11 @@ def stokes_summation(clm1, slm1, lon, lat, else: raise ValueError(f'Unknown units {UNITS}') - # truncate to degree and order - mm = np.arange(0, MMAX+1) + # spherical harmonic order + mm = np.arange(0,MMAX+1)# mmax+1 to include mmax # smooth harmonics and convert to output units - clm = np.zeros((LMAX+1, MMAX+1)) - slm = np.zeros((LMAX+1, MMAX+1)) - for l in range(0, LMAX+1):# LMAX+1 to include LMAX - clm[l,:] = wl[l]*dfactor[l]*clm1[l,mm] - slm[l,:] = wl[l]*dfactor[l]*slm1[l,mm] + clm = np.einsum("l,l,lm->lm", wl, dfactor, clm1[:, mm]) + slm = np.einsum("l,l,lm->lm", wl, dfactor, slm1[:, mm]) # return the spatial field return harmonic_summation(clm, slm, lon, lat, diff --git a/gravity_toolkit/harmonics.py b/gravity_toolkit/harmonics.py index 877c0edf..f90a1ad0 100644 --- a/gravity_toolkit/harmonics.py +++ b/gravity_toolkit/harmonics.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" harmonics.py -Written by Tyler Sutterley (06/2024) +Written by Tyler Sutterley (07/2026) Contributions by Hugo Lecomte Spherical harmonic data class for processing GRACE/GRACE-FO Level-2 data @@ -25,6 +25,7 @@ destripe_harmonics.py: filters spherical harmonics for correlated errors UPDATE HISTORY: + Updated 07/2026: add dunder (magic) methods for mathematical operations Updated 06/2024: use wrapper to importlib for optional dependencies Updated 05/2024: make subscriptable and allow item assignment Updated 10/2023: place time and month variables in try/except block @@ -1893,6 +1894,71 @@ def __str__(self): properties.append(f" end_month: {max(self.month)}") return '\n'.join(properties) + def __add__(self, other): + """Add values to a ``harmonics`` object""" + temp = self.copy() + return temp.add(other) + + def __div__(self, other): + """Divide values from a ``harmonics`` object""" + return self.__truediv__(other) + + def __iadd__(self, other): + """In-place add values to a ``harmonics`` object""" + return self.add(other) + + def __idiv__(self, other): + """In-place divide values from a ``harmonics`` object""" + return self.__itruediv__(other) + + def __imul__(self, other): + """In-place multiply values from a ``harmonics`` object""" + if isinstance(other, (int, float, np.ndarray)): + return self.scale(other) + else: + return self.multiply(other) + + def __ipow__(self, other): + """In-place raise values from a ``harmonics`` object to a power""" + return self.power(other) + + def __isub__(self, other): + """In-place subtract values from a ``harmonics`` object""" + return self.subtract(other) + + def __itruediv__(self, other): + """In-place divide values from a ``harmonics`` object""" + if isinstance(other, (int, float, np.ndarray)): + return self.scale(1.0 / other) + else: + return self.divide(other) + + def __mul__(self, other): + """Multiply values from a ``harmonics`` object""" + temp = self.copy() + if isinstance(other, (int, float, np.ndarray)): + return temp.scale(other) + else: + return temp.multiply(other) + + def __pow__(self, other): + """Raise values from a ``harmonics`` object to a power""" + temp = self.copy() + return temp.power(other) + + def __sub__(self, other): + """Subtract values from a ``harmonics`` object""" + temp = self.copy() + return temp.subtract(other) + + def __truediv__(self, other): + """Divide values from a ``harmonics`` object""" + temp = self.copy() + if isinstance(other, (int, float, np.ndarray)): + return temp.scale(1.0 / other) + else: + return temp.divide(other) + def __len__(self): """Number of months """ diff --git a/gravity_toolkit/mascons.py b/gravity_toolkit/mascons.py index 2a8f08c1..98a01c74 100644 --- a/gravity_toolkit/mascons.py +++ b/gravity_toolkit/mascons.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" mascons.py -Written by Tyler Sutterley (03/2023) +Written by Tyler Sutterley (07/2026) Conversion routines for publicly available GRACE/GRACE-FO mascon solutions PYTHON DEPENDENCIES: @@ -12,6 +12,7 @@ mascon2grid.m written by Felix Landerer and David Wiese (JPL) UPDATE HISTORY: + Updated 07/2026: use np.radians to convert from degrees to radians Updated 03/2023: improve typing for variables in docstrings Updated 11/2022: use lowercase keyword arguments Updated 04/2022: updated docstrings to numpy documentation format @@ -63,15 +64,13 @@ def to_gsfc(gdata, lon, lat, lon_center, lat_center, lon_span, lat_span): # number of mascons nmas = len(lon_center) # convert mascon centers to -180:180 - gt180, = np.nonzero(lon_center > 180) - lon_center[gt180] -= 360.0 + lon_center = np.where(lon_center > 180, lon_center - 360.0, lon_center) # remove singleton dimensions lat = np.squeeze(lat) lon = np.squeeze(lon) # for mascons centered on 180: use 0:360 alon = np.copy(lon) - lt0, = np.nonzero(lon < 0) - alon[lt0] += 360.0 + alon = np.where(alon < 0, alon + 360.0, alon) # loop over each mascon bin and average gdata with the cos-lat weights # for that bin @@ -98,12 +97,12 @@ def to_gsfc(gdata, lon, lat, lon_center, lat_center, lon_span, lat_span): else: ilon = lon.copy() # indices for grid points within the mascon - I, = np.nonzero((lat >= lat_bound[0]) & (lat < lat_bound[1])) - J, = np.nonzero((ilon >= lon_bound[0]) & (ilon < lon_bound[1])) + I, = np.flatnonzero((lat >= lat_bound[0]) & (lat < lat_bound[1])) + J, = np.flatnonzero((ilon >= lon_bound[0]) & (ilon < lon_bound[1])) I,J = (I[np.newaxis,:], J[:,np.newaxis]) # calculate average data for mascon bin - mascon_array['data'][k] = np.mean((np.cos(lat[I]*np.pi/180.0) / - np.mean(np.cos(lat[I]*np.pi/180.0)))*gdata[I,J]/len(I)) + mascon_array['data'][k] = np.mean((np.cos(np.radians(lat[I])) / + np.mean(np.cos(np.radians(lat[I]))))*gdata[I,J]/len(I)) mascon_array['lat_center'][k] = lat_center[k] mascon_array['lon_center'][k] = lon_center[k] @@ -154,13 +153,13 @@ def to_jpl(gdata, lon, lat, lon_bound, lat_bound): mascon_array['lat'] = np.zeros((nmas)) for k in range(0,nmas): # indices for grid points within the mascon - I, = np.nonzero((lat >= lat_bound[k,1]) & (lat < lat_bound[k,0])) - J, = np.nonzero((lon >= lon_bound[k,0]) & (lon < lon_bound[k,2])) + I, = np.flatnonzero((lat >= lat_bound[k,1]) & (lat < lat_bound[k,0])) + J, = np.flatnonzero((lon >= lon_bound[k,0]) & (lon < lon_bound[k,2])) nlt = np.count_nonzero((lat >= lat_bound[k,1]) & (lat < lat_bound[k,0])) I,J = (I[np.newaxis,:], J[:,np.newaxis]) # calculate average data for mascon bin - mascon_array['data'][k] = np.mean((np.cos(lat[I]*np.pi/180.0) / - np.mean(np.cos(lat[I]*np.pi/180.0)))*gdata[I,J]/nlt) + mascon_array['data'][k] = np.mean((np.cos(np.radians(lat[I])) / + np.mean(np.cos(np.radians(lat[I]))))*gdata[I,J]/nlt) # calculate coordinates of mascon center mascon_array['lat'][k] = (lat_bound[k,1]+lat_bound[k,0])/2.0 mascon_array['lon'][k] = (lon_bound[k,1]+lon_bound[k,2])/2.0 @@ -219,8 +218,7 @@ def from_gsfc(mscdata, grid_spacing, lon_center, lat_center, lon_span, lat_span, # number of mascons nmas = len(lon_center) # convert mascon centers to -180:180 - gt180, = np.nonzero(lon_center > 180) - lon_center[gt180] -= 360.0 + lon_center = np.where(lon_center > 180, lon_center - 360.0, lon_center) # Define output latitude and longitude grids lon = np.arange(-180.0+grid_spacing/2.0,180.0+grid_spacing/2.0,grid_spacing) @@ -228,8 +226,7 @@ def from_gsfc(mscdata, grid_spacing, lon_center, lat_center, lon_span, lat_span, nlon, nlat = (len(lon),len(lat)) # for mascons centered on 180: use 0:360 alon = np.copy(lon) - lt0, = np.nonzero(lon < 0) - alon[lt0] += 360.0 + alon = np.where(alon < 0, alon + 360.0, alon) # loop over each mascon bin and assign value to grid points inside bin: mdata = np.zeros((nlat, nlon)) @@ -252,8 +249,8 @@ def from_gsfc(mscdata, grid_spacing, lon_center, lat_center, lon_span, lat_span, else: ilon = lon.copy() # indices for grid points within the mascon - I, = np.nonzero((lat >= lat_bound[0]) & (lat < lat_bound[1])) - J, = np.nonzero((ilon >= lon_bound[0]) & (ilon < lon_bound[1])) + I, = np.flatnonzero((lat >= lat_bound[0]) & (lat < lat_bound[1])) + J, = np.flatnonzero((ilon >= lon_bound[0]) & (ilon < lon_bound[1])) I,J = (I[np.newaxis,:], J[:,np.newaxis]) mdata[I,J] = mscdata[k] @@ -310,8 +307,8 @@ def from_jpl(mscdata, grid_spacing, lon_bound, lat_bound, **kwargs): # loop over each mascon bin and assign value to grid points inside bin: mdata = np.zeros((nlat, nlon)) for k in range(0, nmas): - I, = np.nonzero((lat >= lat_bound[k,1]) & (lat < lat_bound[k,0])) - J, = np.nonzero((lon >= lon_bound[k,0]) & (lon < lon_bound[k,2])) + I, = np.flatnonzero((lat >= lat_bound[k,1]) & (lat < lat_bound[k,0])) + J, = np.flatnonzero((lon >= lon_bound[k,0]) & (lon < lon_bound[k,2])) I,J = (I[np.newaxis,:], J[:,np.newaxis]) mdata[I,J] = mscdata[k] diff --git a/gravity_toolkit/sea_level_equation.py b/gravity_toolkit/sea_level_equation.py index 24b53231..1e1e3906 100644 --- a/gravity_toolkit/sea_level_equation.py +++ b/gravity_toolkit/sea_level_equation.py @@ -1,6 +1,6 @@ #!/usr/bin/env python u""" -sea_level_equation.py (06/2025) +sea_level_equation.py (07/2026) Solves the sea level equation with the option of including polar motion feedback Uses a Clenshaw summation to calculate the spherical harmonic summation @@ -37,7 +37,6 @@ ITERATIONS: maximum number of iterations for the solver PLM: input Legendre polynomials FILL_VALUE: value used over land points - ASTYPE: floating point precision for calculating Clenshaw summation SCALE: scaling factor to prevent underflow in Clenshaw summation PYTHON DEPENDENCIES: @@ -91,6 +90,8 @@ https://doi.org/10.1029/JB090iB11p09363 UPDATE HISTORY: + Updated 07/2026: use np.einsum for spherical harmonic summations + use np.radians to convert from degrees to radians Updated 06/2025: added option to set the density of sea water (g/cm^3) Updated 03/2023: improve typing for variables in docstrings Updated 01/2023: refactored associated legendre polynomials @@ -131,8 +132,7 @@ # PURPOSE: Computes Sea Level Fingerprints including polar motion feedback def sea_level_equation(loadClm, loadSlm, glon, glat, land_function, LMAX=0, LOVE=None, BODY_TIDE_LOVE=0, FLUID_LOVE=0, DENSITY=1.0, POLAR=True, - ITERATIONS=6, PLM=None, FILL_VALUE=0, ASTYPE=np.longdouble, SCALE=1e-280, - **kwargs): + ITERATIONS=6, PLM=None, FILL_VALUE=0, SCALE=1e-280, **kwargs): r""" Solves the sea level equation with the option of including polar motion feedback :cite:p:`Farrell:1976hm,Kendall:2005ds,Mitrovica:2003cq` @@ -180,8 +180,6 @@ def sea_level_equation(loadClm, loadSlm, glon, glat, land_function, LMAX=0, Legendre polynomials FILL_VALUE: float, default 0 Invalid value used over land points - ASTYPE: np.dtype, default np.longdouble - Floating point precision for calculating Clenshaw summation SCALE: float, default 1e-280 Scaling factor to prevent underflow in Clenshaw summation @@ -192,17 +190,17 @@ def sea_level_equation(loadClm, loadSlm, glon, glat, land_function, LMAX=0, """ # dimensions of land function - nphi,nth = np.shape(land_function) + nphi, nth = np.shape(land_function) # calculate colatitude and longitude in radians - th = (90.0 - glat)*np.pi/180.0 - phi = np.squeeze(glon*np.pi/180.0) + th = np.radians(90.0 - glat) + phi = np.radians(np.squeeze(glon)) # calculate ocean function from land function ocean_function = 1.0 - land_function # indices of the ocean function ii,jj = np.nonzero(ocean_function) # extract arrays of kl, hl, and ll Love Numbers - hl,kl,ll = LOVE + hl, kl, ll = LOVE # density of water [g/cm^3] rho_water = np.float64(DENSITY) # Earth Parameters @@ -271,21 +269,25 @@ def sea_level_equation(loadClm, loadSlm, glon, glat, land_function, LMAX=0, # calculate coefh and coefp for each degree and order # see equation 11 from Tamisiea et al (2010) - coefh = np.zeros((LMAX+1,LMAX+1)) - coefp = np.zeros((LMAX+1,LMAX+1)) + coefh = np.zeros((LMAX+1, LMAX+1)) + coefp = np.zeros((LMAX+1, LMAX+1)) for l in range(LMAX+1): + m = np.arange(0, l+1) + # tilt factor for degree l + gamma_l = (1.0 + kl[l] - hl[l]) # coefh and coefp will be the same for all orders except for degree 2 # and order 1 (if POLAR motion feedback is included) - m = np.arange(0,l+1) - coefh[l,m] = 3.0*rho_water*(1.0 + kl[l] - hl[l])/rho_e/np.float64(2*l+1) - coefp[l,m] = (1.0 + kl[l] - hl[l])/(kl[l] + 1.0) + coefh[l,m] = 3.0*rho_water*gamma_l/rho_e/np.float64(2*l+1) + coefp[l,m] = gamma_l/(kl[l] + 1.0) # if degree 2 and POLAR parameter is set if (l == 2) and POLAR: + # tilt factor for body tides + gamma_2b = (1.0 + k2b - h2b) # calculate coefficient for polar motion feedback and add to coefs # For small perturbations in rotation vector: driving potential # will be dominated by degree two and order one polar wander # effects (quadrantal geometry effects) (Kendall et al., 2005) - coefpmf = (1.0 + k2b - h2b)*(1.0 + kl[l])/(klf - k2b) + coefpmf = gamma_2b*(1.0 + kl[l])/(klf - k2b) # add effects of polar motion feedback to order 1 coefficients coefh[l,1] += 3.0*rho_water*coefpmf/rho_e/np.float64(2*l+1) coefp[l,1] += coefpmf/(kl[l] + 1.0) @@ -295,15 +297,15 @@ def sea_level_equation(loadClm, loadSlm, glon, glat, land_function, LMAX=0, # calculate Legendre polynomials using Holmes and Featherstone relation PLM, dPLM = plm_holmes(LMAX, np.cos(th)) # calculate sin of colatitudes - gth,gphi = np.meshgrid(th, phi) + gth, gphi = np.meshgrid(th, phi) u = np.sin(gth[ii,jj]) # indices of spherical harmonics for calculating eps - l1,m1 = np.tril_indices(LMAX+1) + l1, m1 = np.tril_indices(LMAX+1) # total mass of the surface mass load [g] from harmonics tmass = 4.0*np.pi*(rad_e**3.0)*rho_e*loadClm[0,0]/3.0 # convert ocean function into a series of spherical harmonics - ocean_Ylms = gen_harmonics(ocean_function,glon,glat,LMAX=LMAX,PLM=PLM) + ocean_Ylms = gen_harmonics(ocean_function, glon, glat, LMAX=LMAX, PLM=PLM) # total area of ocean calculated by integrating the ocean function ocean_area = 4.0*np.pi*ocean_Ylms.clm[0,0] @@ -316,8 +318,12 @@ def sea_level_equation(loadClm, loadSlm, glon, glat, land_function, LMAX=0, logging.info(f'Total Ocean Area: {ocean_area:0.10g}') logging.info(f'Uniform Ocean Height: {sea_height:0.10g}') + # allocate for output sea level field + sea_level = np.empty((nphi, nth)) + # complex load spherical harmonics + loadYlms = loadClm - 1j*loadSlm # distribute sea height over ocean harmonics - height_Ylms = ocean_Ylms.scale(sea_height) + height_Ylms = ocean_Ylms * sea_height # iterate solutions until convergence or reaching total iterations n_iter = 1 # use maximum eps values from Mitrovica and Peltier (1991) @@ -325,42 +331,38 @@ def sea_level_equation(loadClm, loadSlm, glon, glat, land_function, LMAX=0, eps = np.inf eps_max = 1e-4 while (eps > eps_max) and (n_iter <= ITERATIONS): - # allocate for sea level field of iteration - sea_level = np.zeros((nphi,nth)) + # zero out the sea level field for this iteration + sea_level[:,:] = 0.0 # calculate combined spherical harmonics for Clenshaw summation - clm1 = coefh*height_Ylms.clm + rad_e*coefp*loadClm - slm1 = coefh*height_Ylms.slm + rad_e*coefp*loadSlm + Ylm1 = coefh*height_Ylms.ilm + rad_e*coefp*loadYlms # calculate clenshaw summations over colatitudes - s_m_c = np.zeros((nth,LMAX*2+2)) + cs_m = np.zeros((nth, LMAX+1), dtype=np.clongdouble) for m in range(LMAX, -1, -1): - s_m_c[:,2*m:2*m+2] = clenshaw_s_m(np.cos(th), m, clm1, slm1, LMAX, - ASTYPE=ASTYPE, SCALE=SCALE) + cs_m[:,m] = _clenshaw(np.cos(th), m, Ylm1, LMAX, SCALE=SCALE) # calculate cos(phi) cos_phi_2 = 2.0*np.cos(phi) # matrix of cos/sin m*phi summation - cos_m_phi = np.zeros((nphi,LMAX+2),dtype=ASTYPE) - sin_m_phi = np.zeros((nphi,LMAX+2),dtype=ASTYPE) + m_phi = np.zeros((nphi, LMAX+2), dtype=np.clongdouble) # initialize matrix with values at lmax+1 and lmax - cos_m_phi[:,LMAX+1] = np.cos(ASTYPE(LMAX + 1)*phi) - sin_m_phi[:,LMAX+1] = np.sin(ASTYPE(LMAX + 1)*phi) - cos_m_phi[:,LMAX] = np.cos(ASTYPE(LMAX)*phi) - sin_m_phi[:,LMAX] = np.sin(ASTYPE(LMAX)*phi) + m_phi[:,LMAX+1] = np.exp(1j * (LMAX + 1) * phi) + m_phi[:,LMAX] = np.exp(1j * LMAX*phi) # calculate summation - gc=np.multiply(s_m_c[np.newaxis,:,2*LMAX],cos_m_phi[:,np.newaxis,LMAX]) - gs=np.multiply(s_m_c[np.newaxis,:,2*LMAX+1],sin_m_phi[:,np.newaxis,LMAX]) - s_m = gc[ii,jj] + gs[ii,jj] + g = np.einsum("h...,p...->ph...", cs_m[:,LMAX], m_phi[:,LMAX]) + # discard imaginary component + s_m = g[ii,jj].real # iterate to calculate complete summation for m in range(LMAX-1, 0, -1): - cos_m_phi[:,m] = cos_phi_2*cos_m_phi[:,m+1] - cos_m_phi[:,m+2] - sin_m_phi[:,m] = cos_phi_2*sin_m_phi[:,m+1] - sin_m_phi[:,m+2] - a_m = np.sqrt((2.0*m+3.0)/(2.0*m+2.0)) - gc=np.multiply(s_m_c[np.newaxis,:,2*m],cos_m_phi[:,np.newaxis,m]) - gs=np.multiply(s_m_c[np.newaxis,:,2*m+1],sin_m_phi[:,np.newaxis,m]) - s_m = a_m*u*s_m + gc[ii,jj] + gs[ii,jj] + # calculate summation for order m + m_phi[:,m] = cos_phi_2*m_phi[:,m+1] - m_phi[:,m+2] + a_m = np.sqrt((2.0*m + 3.0)/(2.0*m + 2.0)) + g = np.einsum("h...,p...->ph...", cs_m[:,m], m_phi[:,m]) + # update summation and discard imaginary component + s_m = a_m*u*s_m + g[ii,jj].real + # add the l=0/m=0 term + gs_m = np.kron(np.ones((nphi, 1)), cs_m.real[:, 0]) # calculate new sea level for iteration - gsmc,gcmp = np.meshgrid(s_m_c[:,0],cos_m_phi[:,0]) - sea_level[ii,jj] = np.sqrt(3.0)*u*s_m + gsmc[ii,jj] + sea_level[ii,jj] = np.sqrt(3.0)*u*s_m + gs_m[ii,jj] # calculate spherical harmonic field for iteration Ylms = gen_harmonics(sea_level, glon, glat, LMAX=LMAX, PLM=PLM) @@ -383,11 +385,10 @@ def sea_level_equation(loadClm, loadSlm, glon, glat, land_function, LMAX=0, # Equation 48 of Mitrovica and Peltier (1991) # add difference to total sea level field to force mass conservation sea_level += sea_height*ocean_function[:,:] - uniform_Ylms = ocean_Ylms.scale(sea_height) - Ylms.add(uniform_Ylms) + Ylms += ocean_Ylms * sea_height # calculate eps to determine if solution is appropriately converged - mod1 = np.sqrt(height_Ylms.clm**2 + height_Ylms.slm**2) - mod2 = np.sqrt(Ylms.clm**2 + Ylms.slm**2) + mod1 = np.hypot(height_Ylms.clm, height_Ylms.slm) + mod2 = np.hypot(Ylms.clm, Ylms.slm) eps = np.abs(np.sum(mod2[l1,m1] - mod1[l1,m1])/np.sum(mod1[l1,m1])) # save height harmonics for use in the next iteration height_Ylms = Ylms.copy() @@ -397,8 +398,8 @@ def sea_level_equation(loadClm, loadSlm, glon, glat, land_function, LMAX=0, # calculate final total mass for sanity check omass = 4.0*np.pi*(rad_e**2.0)*rho_water*height_Ylms.clm[0,0] # if verbose output: sanity check of masses - logging.info('Original Total Ocean Mass: {0:0.10g}'.format(-tmass/1e15)) - logging.info('Final Iterated Ocean Mass: {0:0.10g}'.format(omass/1e15)) + logging.info(f'Original Total Ocean Mass: {-tmass/1e15:0.10g}') + logging.info(f'Final Iterated Ocean Mass: {omass/1e15:0.10g}') # set final invalid points to fill value if applicable if (FILL_VALUE != 0): @@ -410,9 +411,7 @@ def sea_level_equation(loadClm, loadSlm, glon, glat, land_function, LMAX=0, # PURPOSE: compute Clenshaw summation of the fully normalized associated # Legendre's function for constant order m -def clenshaw_s_m(t, m, clm1, slm1, lmax, - ASTYPE=np.longdouble, SCALE=1e-280 - ): +def _clenshaw(t, m, Ylm1, lmax, SCALE=1e-280): """ Compute conditioned arrays for Clenshaw summation from the fully-normalized associated Legendre's function for an order m @@ -423,14 +422,10 @@ def clenshaw_s_m(t, m, clm1, slm1, lmax, elements ranging from -1 to 1, typically cos(th) m: int spherical harmonic order - clm1: np.ndarray - cosine spherical harmonics - slm1: np.ndarray - sine spherical harmonics + Ylm1: np.ndarray + complex form of spherical harmonics lmax: int maximum spherical harmonic degree - ASTYPE: np.dtype, default np.longdouble - floating point precision for calculating Clenshaw summation SCALE: float, default 1e-280 scaling factor to prevent underflow in Clenshaw summation @@ -441,49 +436,40 @@ def clenshaw_s_m(t, m, clm1, slm1, lmax, """ # allocate for output matrix N = len(t) - s_m = np.zeros((N,2),dtype=ASTYPE) + s_m = np.zeros((N), dtype=np.clongdouble) # scaling to prevent overflow - clm = SCALE*clm1.astype(ASTYPE) - slm = SCALE*slm1.astype(ASTYPE) + ylm = SCALE*Ylm1.astype(np.clongdouble) # convert lmax and m to float - lm = ASTYPE(lmax) - mm = ASTYPE(m) + lm = np.float64(lmax) + mm = np.float64(m) if (m == lmax): - s_m[:,0] = np.copy(clm[lmax,lmax]) - s_m[:,1] = np.copy(slm[lmax,lmax]) + s_m[:] = np.copy(ylm[lmax,lmax]) elif (m == (lmax-1)): a_lm = np.sqrt(((2.0*lm-1.0)*(2.0*lm+1.0))/((lm-mm)*(lm+mm)))*t - s_m[:,0] = a_lm*clm[lmax,lmax-1] + clm[lmax-1,lmax-1] - s_m[:,1] = a_lm*slm[lmax,lmax-1] + slm[lmax-1,lmax-1] + s_m[:] = a_lm*ylm[lmax,lmax-1] + ylm[lmax-1,lmax-1] elif ((m <= (lmax-2)) and (m >= 1)): - s_mm_c_pre_2 = np.copy(clm[lmax,m]) - s_mm_s_pre_2 = np.copy(slm[lmax,m]) + s_mm_minus_2 = np.copy(ylm[lmax,m]) a_lm = np.sqrt(((2.0*lm-1.0)*(2.0*lm+1.0))/((lm-mm)*(lm+mm)))*t - s_mm_c_pre_1 = a_lm*s_mm_c_pre_2 + clm[lmax-1,m] - s_mm_s_pre_1 = a_lm*s_mm_s_pre_2 + slm[lmax-1,m] + s_mm_minus_1 = a_lm*s_mm_minus_2 + ylm[lmax-1,m] for l in range(lmax-2, m-1, -1): - ll = ASTYPE(l) + ll = np.float64(l) a_lm=np.sqrt(((2.0*ll+1.0)*(2.0*ll+3.0))/((ll+1.0-mm)*(ll+1.0+mm)))*t b_lm=np.sqrt(((2.*ll+5.)*(ll+mm+1.)*(ll-mm+1.))/((ll+2.-mm)*(ll+2.+mm)*(2.*ll+1.))) - s_mm_c = a_lm * s_mm_c_pre_1 - b_lm * s_mm_c_pre_2 + clm[l,m] - s_mm_s = a_lm * s_mm_s_pre_1 - b_lm * s_mm_s_pre_2 + slm[l,m] - s_mm_c_pre_2 = np.copy(s_mm_c_pre_1) - s_mm_s_pre_2 = np.copy(s_mm_s_pre_1) - s_mm_c_pre_1 = np.copy(s_mm_c) - s_mm_s_pre_1 = np.copy(s_mm_s) - s_m[:,0] = np.copy(s_mm_c) - s_m[:,1] = np.copy(s_mm_s) + s_mm_l = a_lm * s_mm_minus_1 - b_lm * s_mm_minus_2 + ylm[l,m] + s_mm_minus_2 = np.copy(s_mm_minus_1) + s_mm_minus_1 = np.copy(s_mm_l) + s_m[:] = np.copy(s_mm_l) elif (m == 0): - s_mm_c_pre_2 = np.copy(clm[lmax,0]) + s_mm_minus_2 = np.copy(ylm[lmax,0]) a_lm = np.sqrt(((2.0*lm-1.0)*(2.0*lm+1.0))/(lm*lm))*t - s_mm_c_pre_1 = a_lm * s_mm_c_pre_2 + clm[lmax-1,0] + s_mm_minus_1 = a_lm * s_mm_minus_2 + ylm[lmax-1,0] for l in range(lmax-2, m-1, -1): - ll = ASTYPE(l) + ll = np.float64(l) a_lm=np.sqrt(((2.0*ll+1.0)*(2.0*ll+3.0))/((ll+1.0)*(ll+1.0)))*t b_lm=np.sqrt(((2.0*ll+5.0)*(ll+1.0)*(ll+1.0))/((ll+2.0)*(ll+2.0)*(2.0*ll+1.0))) - s_mm_c = a_lm * s_mm_c_pre_1 - b_lm * s_mm_c_pre_2 + clm[l,0] - s_mm_c_pre_2 = np.copy(s_mm_c_pre_1) - s_mm_c_pre_1 = np.copy(s_mm_c) - s_m[:,0] = np.copy(s_mm_c) + s_mm_l = a_lm * s_mm_minus_1 - b_lm * s_mm_minus_2 + ylm[l,0] + s_mm_minus_2 = np.copy(s_mm_minus_1) + s_mm_minus_1 = np.copy(s_mm_l) + s_m[:] = np.copy(s_mm_l) # return rescaled s_m return s_m/SCALE diff --git a/gravity_toolkit/spatial.py b/gravity_toolkit/spatial.py index adc80ea5..ded4d4bc 100644 --- a/gravity_toolkit/spatial.py +++ b/gravity_toolkit/spatial.py @@ -20,6 +20,8 @@ time.py: utilities for calculating time operations UPDATE HISTORY: + Updated 07/2026: add dunder (magic) methods for mathematical operations + add option to change the output format for ascii files Updated 10/2024: allow 2D and 3D arrays in output netCDF4 files Updated 06/2024: use wrapper to importlib for optional dependencies Updated 05/2024: make subscriptable and allow item assignment @@ -734,6 +736,8 @@ def to_ascii(self, filename, **kwargs): full path of output ascii file date: bool, default True ``spatial`` objects contain date information + float_format: str, default '12.4f' + format for floating point numbers in output ascii file verbose: bool, default False Output file and variable information """ @@ -744,14 +748,16 @@ def to_ascii(self, filename, **kwargs): logging.info(str(self.filename)) # open the output file fid = self.filename.open(mode='w', encoding='utf8') + file_format = '{0:10.4f} {1:10.4f} ' + float_format = kwargs.get('float_format', '12.4f') if hasattr(self, 'error') and kwargs['date']: - file_format = '{0:10.4f} {1:10.4f} {2:12.4f} {3:12.4f} {4:10.4f}' + file_format += ' '.join([f'{{{i}:' + float_format + '}' for i in (2,3,4)]) elif hasattr(self, 'error'): - file_format = '{0:10.4f} {1:10.4f} {2:12.4f} {3:12.4f}' + file_format += ' '.join([f'{{{i}:' + float_format + '}' for i in (2,3)]) elif kwargs['date']: - file_format = '{0:10.4f} {1:10.4f} {2:12.4f} {4:10.4f}' + file_format += ' '.join([f'{{{i}:' + float_format + '}' for i in (2,4)]) else: - file_format = '{0:10.4f} {1:10.4f} {2:12.4f}' + file_format += ' '.join([f'{{{i}:' + float_format + '}' for i in (2,)]) # write to file for each valid latitude and longitude ii,jj = np.nonzero((self.data != self.fill_value) & (~self.mask)) for i,j in zip(ii,jj): @@ -1707,6 +1713,59 @@ def __str__(self): properties.append(f" end_month: {max(self.month)}") return '\n'.join(properties) + def __add__(self, other): + """Add values to a ``spatial`` object""" + temp = self.copy() + return temp.offset(other) + + def __div__(self, other): + """Divide values from a ``spatial`` object""" + return self.__truediv__(other) + + def __iadd__(self, other): + """In-place add values to a ``spatial`` object""" + return self.offset(other) + + def __idiv__(self, other): + """In-place divide values from a ``spatial`` object""" + return self.__itruediv__(other) + + def __imul__(self, other): + """In-place multiply values from a ``spatial`` object""" + return self.scale(other) + + def __ipow__(self, other): + """In-place raise values from a ``spatial`` object to a power""" + return self.power(other) + + def __isub__(self, other): + """In-place subtract values from a ``spatial`` object""" + return self.offset(-other) + + def __itruediv__(self, other): + """In-place divide values from a ``spatial`` object""" + return self.scale(1.0 / other) + + def __mul__(self, other): + """Multiply values from a ``spatial`` object""" + temp = self.copy() + return temp.scale(other) + + def __pow__(self, other): + """Raise values from a ``spatial`` object to a power""" + temp = self.copy() + return temp.power(other) + + def __sub__(self, other): + """Subtract values from a ``spatial`` object""" + temp = self.copy() + return temp.offset(-other) + + def __truediv__(self, other): + """Divide values from a ``spatial`` object""" + temp = self.copy() + return temp.scale(1.0 / other) + def __len__(self): """Number of months """ diff --git a/gravity_toolkit/time_series/amplitude.py b/gravity_toolkit/time_series/amplitude.py index 7d174cb2..ad4df441 100755 --- a/gravity_toolkit/time_series/amplitude.py +++ b/gravity_toolkit/time_series/amplitude.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" amplitude.py -Written by Tyler Sutterley (01/2023) +Written by Tyler Sutterley (07/2026) Calculate the amplitude and phase of a harmonic function from calculated sine and cosine of a series of measurements @@ -21,6 +21,7 @@ numpy: Scientific Computing Tools For Python (https://numpy.org) UPDATE HISTORY: + Updated 07/2026: use np.radians to convert from degrees to radians Updated 01/2023: refactored time series analysis functions Updated 04/2022: updated docstrings to numpy documentation format Updated 07/2020: added function docstrings @@ -49,5 +50,5 @@ def amplitude(bsin, bcos): phase from the harmonic functions in degrees """ ampl = np.sqrt(bsin**2.0 + bcos**2.0) - ph = 180.0*np.arctan2(bcos, bsin)/np.pi - return (ampl,ph) + ph = np.degrees(np.arctan2(bcos, bsin)) + return (ampl, ph) diff --git a/gravity_toolkit/time_series/piecewise.py b/gravity_toolkit/time_series/piecewise.py index e2349007..66042163 100755 --- a/gravity_toolkit/time_series/piecewise.py +++ b/gravity_toolkit/time_series/piecewise.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" piecewise.py -Written by Tyler Sutterley (04/2023) +Written by Tyler Sutterley (07/2026) Fits a synthetic signal to data over a time period by ordinary or weighted least-squares for breakpoint analysis @@ -61,6 +61,7 @@ scipy: Scientific Tools for Python (https://docs.scipy.org/doc/) UPDATE HISTORY: + Updated 07/2026: use np.hypot to calculate the sum of two squares Updated 04/2023: option to include extra fit terms in the design matrix Updated 01/2023: refactored time series analysis functions Updated 04/2022: updated docstrings to numpy documentation format @@ -293,7 +294,7 @@ def piecewise(t_in, d_in, BREAK_TIME=None, BREAKPOINT=None, # Recalculating beta2 error beta_err = np.copy(temp_err) - beta_err[2] = np.sqrt(temp_err[1]**2 + temp_err[2]**2) + beta_err[2] = np.hypot(temp_err[1], temp_err[2]) # Weighted sum of squares Error WSSE = np.dot(np.transpose(wi*(d_in[0:nmax] - np.dot(DMAT,beta_mat))), wi*(d_in[0:nmax] - np.dot(DMAT,beta_mat)))/np.float64(nu) @@ -314,7 +315,7 @@ def piecewise(t_in, d_in, BREAK_TIME=None, BREAKPOINT=None, temp_err[i] = np.sum((NORMEQ[i,:]*P_err)**2) # Recalculating beta2 error beta_err = np.copy(temp_err) - beta_err[2] = np.sqrt(temp_err[1]**2 + temp_err[2]**2) + beta_err[2] = np.hypot(temp_err[1], temp_err[2]) # Mean square error MSE = np.dot(np.transpose(d_in[0:nmax] - np.dot(DMAT,beta_mat)), (d_in[0:nmax] - np.dot(DMAT,beta_mat)))/np.float64(nu) @@ -359,10 +360,10 @@ def piecewise(t_in, d_in, BREAK_TIME=None, BREAKPOINT=None, # Recalculating standard error for beta2 st_err = np.copy(temp_std) - st_err[2] = np.sqrt(temp_std[1]**2 + temp_std[2]**2) + st_err[2] = np.hypot(temp_std[1], temp_std[2]) # Recalculating beta2 error beta_err = np.copy(temp_err) - beta_err[2] = np.sqrt(temp_err[1]**2 + temp_err[2]**2) + beta_err[2] = np.hypot(temp_err[1], temp_err[2]) return {'beta':beta_out, 'error':beta_err, 'std_err':st_err, 'R2':rsquare, 'R2Adj':rsq_adj, 'MSE':MSE, 'NRMSE':NRMSE, 'AIC':AIC, 'BIC':BIC, diff --git a/gravity_toolkit/time_series/smooth.py b/gravity_toolkit/time_series/smooth.py index 247e934c..d80050e6 100755 --- a/gravity_toolkit/time_series/smooth.py +++ b/gravity_toolkit/time_series/smooth.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" smooth.py -Written by Tyler Sutterley (01/2023) +Written by Tyler Sutterley (07/2026) Computes a moving average of a time-series using three possible routines: 1) centered moving average @@ -48,6 +48,7 @@ scipy: Scientific Tools for Python (https://docs.scipy.org/doc/) UPDATE HISTORY: + Updated 07/2026: use np.hypot to calculate the sum of two squares Updated 01/2023: refactored time series analysis functions Updated 04/2022: updated docstrings to numpy documentation format Updated 05/2021: define int/float precision to prevent deprecation warning @@ -224,13 +225,13 @@ def smooth(t_in, d_in, HFWTH=6, MOVING=False, DATA_ERR=0, WEIGHT=0, # annual component AS,AC = beta_mat[SEAS:SEAS+2] dannual[ran] += wi*np.dot(TMAT[:,SEAS:SEAS+2],[AS,AC]) - annamp[ran] += wi*np.sqrt(AS**2 + AC**2) - annphase[ran] += wi*np.arctan2(AC,AS)*180.0/np.pi + annamp[ran] += wi*np.hypot(AS, AC) + annphase[ran] += wi*np.degrees(np.arctan2(AC, AS)) # semi-annual component SS,SC = beta_mat[SEAS+2:SEAS+4] dsemian[ran] += wi*np.dot(TMAT[:,SEAS+2:SEAS+4],[SS,SC]) - semiamp[ran] += wi*np.sqrt(SS**2 + SC**2) - semiphase[ran] += wi*np.arctan2(SC,SS)*180.0/np.pi + semiamp[ran] += wi*np.hypot(SS, SC) + semiphase[ran] += wi*np.degrees(np.arctan2(SC, SS)) # add weights weight[ran] += wi # divide weighted smoothed time-series by weights @@ -326,13 +327,13 @@ def smooth(t_in, d_in, HFWTH=6, MOVING=False, DATA_ERR=0, WEIGHT=0, # annual component AS,AC = beta_mat[SEAS:SEAS+2] dannual[i] = np.dot(TMAT[HFWTH,SEAS:SEAS+2],[AS,AC]) - annphase[i] = np.arctan2(AC,AS)*180.0/np.pi - annamp[i] = np.sqrt(AS**2 + AC**2) + annphase[i] = np.degrees(np.arctan2(AC, AS)) + annamp[i] = np.hypot(AS, AC) # semi-annual component SS,SC = beta_mat[SEAS+2:SEAS+4] dsemian[i] = np.dot(TMAT[HFWTH,SEAS+2:SEAS+4],[SS,SC]) - semiamp[i] = np.sqrt(SS**2 + SC**2) - semiphase[i] = np.arctan2(SC,SS)*180.0/np.pi + semiamp[i] = np.hypot(SS, SC) + semiphase[i] = np.degrees(np.arctan2(SC, SS)) # noise component dnoise[i] = d_in[i+HFWTH] - dsmth[i] - dseason[i] # reduced time-series diff --git a/gravity_toolkit/tools.py b/gravity_toolkit/tools.py index 36c93f0e..16cc786a 100644 --- a/gravity_toolkit/tools.py +++ b/gravity_toolkit/tools.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" tools.py -Written by Tyler Sutterley (11/2024) +Written by Tyler Sutterley (07/2026) Jupyter notebook, user interface and plotting tools PYTHON DEPENDENCIES: @@ -27,6 +27,7 @@ utilities.py: download and management utilities for files UPDATE HISTORY: + Updated 07/2026: use np.radians and np.degrees for angle conversions Updated 11/2024: fix deprecated widget object copies Updated 04/2024: add widget for setting endpoint for accessing PODAAC data place colormap registration within try/except to check for existing @@ -1123,9 +1124,9 @@ def wrap_longitudes(lon): lon: np.ndarray longitude (degrees east) """ - phi = np.arctan2(np.sin(lon*np.pi/180.0), np.cos(lon*np.pi/180.0)) + phi = np.arctan2(np.sin(np.radians(lon)), np.cos(np.radians(lon))) # convert phi from radians to degrees - return phi*180.0/np.pi + return np.degrees(phi) # PURPOSE: parallels the matplotlib basemap shiftgrid function def shift_grid(lon0, data, lon, CYCLIC=360.0): diff --git a/gravity_toolkit/utilities.py b/gravity_toolkit/utilities.py index 35348258..5a7a27ff 100644 --- a/gravity_toolkit/utilities.py +++ b/gravity_toolkit/utilities.py @@ -1,14 +1,18 @@ #!/usr/bin/env python u""" utilities.py -Written by Tyler Sutterley (10/2025) -Download and management utilities for syncing time and auxiliary files +Written by Tyler Sutterley (07/2026) +Download and management utilities for syncing files PYTHON DEPENDENCIES: lxml: processing XML and HTML in Python https://pypi.python.org/pypi/lxml + platformdirs: Python module for determining platform-specific directories + https://pypi.org/project/platformdirs/ UPDATE HISTORY: + Updated 07/2026: can use an environment variable to set cache directory + this overrides the default platform-specific cache directory Updated 10/2025: switch from_gfz to https as ftp server is being retired Updated 11/2024: simplify unique file name function add function to scrape GSFC website for GRACE mascon urls @@ -83,14 +87,17 @@ import posixpath import lxml.etree import subprocess +import platformdirs import calendar,time + if sys.version_info[0] == 2: from cookielib import CookieJar from urllib import urlencode + from urlparse import urlparse import urllib2 else: from http.cookiejar import CookieJar - from urllib.parse import urlencode + from urllib.parse import urlencode, urlparse import urllib.request as urllib2 # PURPOSE: get absolute path within a package from a relative path @@ -112,12 +119,49 @@ def get_data_path(relpath: list | str | pathlib.Path): elif isinstance(relpath, str): return filepath.joinpath(relpath) +# PURPOSE: get the path to the user cache directory +def get_cache_path( + relpath: list | str | pathlib.Path | None = None, + appname="gravtk", + ensure_exists=True, +): + """ + Get the path to the user cache directory for an application + + Parameters + ---------- + relpath: list, str, pathlib.Path or None + Relative path + appname: str, default 'gravtk' + Application name + ensure_exists: bool, default True + Verify that the cache directory exists + """ + # check for custom environment variable for cache directory + cache_dir = os.environ.get("GRAVTK_CACHE_DIR") + if cache_dir: + # custom environment variable for cache directory + filepath = pathlib.Path(cache_dir).expanduser().absolute() + # ensure that the cache directory exists + filepath.mkdir(parents=True, exist_ok=True) + else: + # platform-specific cache directory + filepath = platformdirs.user_cache_path( + appname=appname, ensure_exists=ensure_exists + ) + # append relative path to cache directory + if isinstance(relpath, list): + # use *splat operator to extract from list + filepath = filepath.joinpath(*relpath) + elif isinstance(relpath, (str, pathlib.Path)): + filepath = filepath.joinpath(relpath) + return pathlib.Path(filepath) def import_dependency( - name: str, - extra: str = "", - raise_exception: bool = False - ): + name: str, + extra: str = "", + raise_exception: bool = False, +): """ Import an optional dependency @@ -138,11 +182,11 @@ def import_dependency( Imported module """ # check if the module name is a string - msg = f"Invalid module name: '{name}'; must be a string" - assert isinstance(name, str), msg + if not isinstance(name, str): + raise TypeError(f"Invalid module name: '{name}'; must be a string") # default error if module cannot be imported err = f"Missing optional dependency '{name}'. {extra}" - module = type('module', (), {}) + module = type("module", (), {}) # try to import the module try: module = importlib.import_module(name) @@ -154,6 +198,53 @@ def import_dependency( # return the module return module +def dependency_available( + name: str, + minversion: str | None = None, +): + """ + Checks whether a module is installed without importing it + + Adapted from ``xarray.namedarray.utils.module_available`` + + Parameters + ---------- + name: str + Module name + minversion : str, optional + Minimum version of the module + + Returns + ------- + available : bool + Whether the module is installed + """ + # check if module is available + if importlib.util.find_spec(name) is None: + return False + # check if the version is greater than the minimum required + if minversion is not None: + version = importlib.metadata.version(name) + return version >= minversion + # return if both checks are passed + return True + +def is_valid_url(url: str) -> bool: + """ + Checks if a string is a valid URL + + Parameters + ---------- + url: str + URL to check + """ + try: + result = urlparse(str(url)) + return all([result.scheme, result.netloc]) + except AttributeError: + return False + + class reify(object): """Class decorator that puts the result of the method it decorates into the instance""" diff --git a/mapping/plot_AIS_GrIS_maps.py b/mapping/plot_AIS_GrIS_maps.py index a082fb43..79059f1f 100644 --- a/mapping/plot_AIS_GrIS_maps.py +++ b/mapping/plot_AIS_GrIS_maps.py @@ -578,9 +578,9 @@ def plot_grid(base_dir, FILENAMES, # plot line contour for global average if MEAN_CONTOUR and CONTOURS: # calculate areas of each grid cell - dphi,dth = (dlon*np.pi/180.0,dlat*np.pi/180.0) + dphi,dth = (np.radians(dlon), np.radians(dlat)) indy,indx = np.nonzero(np.logical_not(data.mask)) - area = (rad_e**2)*dth*dphi*np.cos(lat[indy,indx]*np.pi/180.0) + area = (rad_e**2)*dth*dphi*np.cos(np.radians(lat[indy,indx])) # calculate average ave=np.sum(area*data[indy,indx])/np.sum(area) # plot line contour of global average @@ -694,7 +694,8 @@ def arguments(): help='Input grid files (Antarctica and Greenland)') # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # Input data format (ascii, netCDF4, HDF5) parser.add_argument('--format','-F', diff --git a/mapping/plot_AIS_grid_3maps.py b/mapping/plot_AIS_grid_3maps.py index 352ea0db..5e3b0bb5 100644 --- a/mapping/plot_AIS_grid_3maps.py +++ b/mapping/plot_AIS_grid_3maps.py @@ -473,9 +473,9 @@ def plot_grid(base_dir, FILENAMES, # plot line contour for global average if MEAN_CONTOUR and CONTOURS: # calculate areas of each grid cell - dphi,dth = (dlon*np.pi/180.0,dlat*np.pi/180.0) + dphi,dth = (np.radians(dlon), np.radians(dlat)) indy,indx = np.nonzero(np.logical_not(data.mask)) - area = (rad_e**2)*dth*dphi*np.cos(lat[indy,indx]*np.pi/180.0) + area = (rad_e**2)*dth*dphi*np.cos(np.radians(lat[indy,indx])) # calculate average ave=np.sum(area*data[indy,indx])/np.sum(area) # plot line contour of global average @@ -585,7 +585,8 @@ def arguments(): help='Input grid files') # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # Input data format (ascii, netCDF4, HDF5) parser.add_argument('--format','-F', diff --git a/mapping/plot_AIS_grid_4maps.py b/mapping/plot_AIS_grid_4maps.py index 550ef497..a890d684 100644 --- a/mapping/plot_AIS_grid_4maps.py +++ b/mapping/plot_AIS_grid_4maps.py @@ -473,11 +473,11 @@ def plot_grid(base_dir, FILENAMES, # plot line contour for global average if MEAN_CONTOUR and CONTOURS: # calculate areas of each grid cell - dphi,dth = (dlon*np.pi/180.0,dlat*np.pi/180.0) + dphi,dth = (np.radians(dlon), np.radians(dlat)) indy,indx = np.nonzero(np.logical_not(data.mask)) - area = (rad_e**2)*dth*dphi*np.cos(lat[indy,indx]*np.pi/180.0) + area = (rad_e**2)*dth*dphi*np.cos(np.radians(lat[indy,indx])) # calculate average - ave=np.sum(area*data[indy,indx])/np.sum(area) + ave = np.sum(area*data[indy,indx])/np.sum(area) # plot line contour of global average ax1.contour(lon,lat,data,[ave],colors='blue',linestyles='solid', linewidths=1.5,transform=ccrs.PlateCarree()) @@ -587,7 +587,8 @@ def arguments(): help='Input grid files') # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # Input data format (ascii, netCDF4, HDF5) parser.add_argument('--format','-F', diff --git a/mapping/plot_AIS_grid_maps.py b/mapping/plot_AIS_grid_maps.py index 0125d3b1..3902f360 100644 --- a/mapping/plot_AIS_grid_maps.py +++ b/mapping/plot_AIS_grid_maps.py @@ -461,9 +461,9 @@ def plot_grid(base_dir, FILENAME, # plot line contour for global average if MEAN_CONTOUR and CONTOURS: # calculate areas of each grid cell - dphi,dth = (dlon*np.pi/180.0,dlat*np.pi/180.0) + dphi,dth = (np.radians(dlon), np.radians(dlat)) indy,indx = np.nonzero(np.logical_not(data.mask)) - area = (rad_e**2)*dth*dphi*np.cos(lat[indy,indx]*np.pi/180.0) + area = (rad_e**2)*dth*dphi*np.cos(np.radians(lat[indy,indx])) # calculate average ave = np.sum(area*data[indy,indx])/np.sum(area) # plot line contour of global average @@ -577,7 +577,8 @@ def arguments(): help='Input grid file') # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # Input data format (ascii, netCDF4, HDF5) parser.add_argument('--format','-F', diff --git a/mapping/plot_AIS_grid_movie.py b/mapping/plot_AIS_grid_movie.py index ce956b41..d040071f 100644 --- a/mapping/plot_AIS_grid_movie.py +++ b/mapping/plot_AIS_grid_movie.py @@ -583,9 +583,9 @@ def animate_grid(base_dir, FILENAME, # plot line contour for global average if MEAN_CONTOUR and CONTOURS: # calculate areas of each grid cell - dphi,dth = (dlon*np.pi/180.0,dlat*np.pi/180.0) + dphi,dth = (np.radians(dlon), np.radians(dlat)) indy,indx = np.nonzero(np.logical_not(data.mask)) - area = (rad_e**2)*dth*dphi*np.cos(lat[indy,indx]*np.pi/180.0) + area = (rad_e**2)*dth*dphi*np.cos(np.radians(lat[indy,indx])) # calculate average ave = np.sum(area*data[indy,indx])/np.sum(area) # plot line contour of global average @@ -619,7 +619,8 @@ def arguments(): help='Input grid file') # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # Input data format (ascii, netCDF4, HDF5) parser.add_argument('--format','-F', diff --git a/mapping/plot_AIS_regional_maps.py b/mapping/plot_AIS_regional_maps.py index 4196dcd9..ac5c7b1b 100644 --- a/mapping/plot_AIS_regional_maps.py +++ b/mapping/plot_AIS_regional_maps.py @@ -544,9 +544,9 @@ def plot_grid(base_dir, FILENAME, # plot line contour for global average if MEAN_CONTOUR and CONTOURS: # calculate areas of each grid cell - dphi,dth = (dlon*np.pi/180.0,dlat*np.pi/180.0) + dphi,dth = (np.radians(dlon), np.radians(dlat)) indy,indx = np.nonzero(np.logical_not(data.mask)) - area = (rad_e**2)*dth*dphi*np.cos(lat[indy,indx]*np.pi/180.0) + area = (rad_e**2)*dth*dphi*np.cos(np.radians(lat[indy,indx])) # calculate average ave = np.sum(area*data[indy,indx])/np.sum(area) # plot line contour of global average @@ -665,7 +665,8 @@ def arguments(): help='Input grid file') # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # plot regions parser.add_argument('--region','-r', diff --git a/mapping/plot_AIS_regional_movie.py b/mapping/plot_AIS_regional_movie.py index ac966ddd..ec5101a2 100644 --- a/mapping/plot_AIS_regional_movie.py +++ b/mapping/plot_AIS_regional_movie.py @@ -672,9 +672,9 @@ def animate_grid(base_dir, FILENAME, # plot line contour for global average if MEAN_CONTOUR and CONTOURS: # calculate areas of each grid cell - dphi,dth = (dlon*np.pi/180.0,dlat*np.pi/180.0) + dphi,dth = (np.radians(dlon), np.radians(dlat)) indy,indx = np.nonzero(np.logical_not(data.mask)) - area = (rad_e**2)*dth*dphi*np.cos(lat[indy,indx]*np.pi/180.0) + area = (rad_e**2)*dth*dphi*np.cos(np.radians(lat[indy,indx])) # calculate average ave = np.sum(area*data[indy,indx])/np.sum(area) # plot line contour of global average @@ -708,7 +708,8 @@ def arguments(): help='Input grid file') # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # plot regions parser.add_argument('--region','-r', diff --git a/mapping/plot_GrIS_grid_3maps.py b/mapping/plot_GrIS_grid_3maps.py index 5e80b57f..b0d13750 100644 --- a/mapping/plot_GrIS_grid_3maps.py +++ b/mapping/plot_GrIS_grid_3maps.py @@ -490,9 +490,9 @@ def plot_grid(base_dir, FILENAMES, # plot line contour for global average if MEAN_CONTOUR and CONTOURS: # calculate areas of each grid cell - dphi,dth = (dlon*np.pi/180.0,dlat*np.pi/180.0) + dphi,dth = (np.radians(dlon), np.radians(dlat)) indy,indx = np.nonzero(np.logical_not(data.mask)) - area = (rad_e**2)*dth*dphi*np.cos(lat[indy,indx]*np.pi/180.0) + area = (rad_e**2)*dth*dphi*np.cos(np.radians(lat[indy,indx])) # calculate average ave=np.sum(area*data[indy,indx])/np.sum(area) # plot line contour of global average @@ -603,7 +603,8 @@ def arguments(): help='Input grid files') # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # Input data format (ascii, netCDF4, HDF5) parser.add_argument('--format','-F', diff --git a/mapping/plot_GrIS_grid_5maps.py b/mapping/plot_GrIS_grid_5maps.py index 9d804ab4..55e02466 100644 --- a/mapping/plot_GrIS_grid_5maps.py +++ b/mapping/plot_GrIS_grid_5maps.py @@ -474,9 +474,9 @@ def plot_grid(base_dir, FILENAMES, # plot line contour for global average if MEAN_CONTOUR and CONTOURS: # calculate areas of each grid cell - dphi,dth = (dlon*np.pi/180.0,dlat*np.pi/180.0) + dphi,dth = (np.radians(dlon), np.radians(dlat)) indy,indx = np.nonzero(np.logical_not(data.mask)) - area = (rad_e**2)*dth*dphi*np.cos(lat[indy,indx]*np.pi/180.0) + area = (rad_e**2)*dth*dphi*np.cos(np.radians(lat[indy,indx])) # calculate average ave=np.sum(area*data[indy,indx])/np.sum(area) # plot line contour of global average @@ -587,7 +587,8 @@ def arguments(): help='Input grid files') # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # Input data format (ascii, netCDF4, HDF5) parser.add_argument('--format','-F', diff --git a/mapping/plot_GrIS_grid_maps.py b/mapping/plot_GrIS_grid_maps.py index d42373bc..a6ae0082 100644 --- a/mapping/plot_GrIS_grid_maps.py +++ b/mapping/plot_GrIS_grid_maps.py @@ -474,9 +474,9 @@ def plot_grid(base_dir, FILENAME, # plot line contour for global average if MEAN_CONTOUR and CONTOURS: # calculate areas of each grid cell - dphi,dth = (dlon*np.pi/180.0,dlat*np.pi/180.0) + dphi,dth = (np.radians(dlon), np.radians(dlat)) indy,indx = np.nonzero(np.logical_not(data.mask)) - area = (rad_e**2)*dth*dphi*np.cos(lat[indy,indx]*np.pi/180.0) + area = (rad_e**2)*dth*dphi*np.cos(np.radians(lat[indy,indx])) # calculate average ave = np.sum(area*data[indy,indx])/np.sum(area) # plot line contour of global average @@ -591,7 +591,8 @@ def arguments(): help='Input grid file') # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # Input data format (ascii, netCDF4, HDF5) parser.add_argument('--format','-F', diff --git a/mapping/plot_GrIS_grid_movie.py b/mapping/plot_GrIS_grid_movie.py index b2ebc63e..296ead8d 100644 --- a/mapping/plot_GrIS_grid_movie.py +++ b/mapping/plot_GrIS_grid_movie.py @@ -605,9 +605,9 @@ def animate_grid(base_dir, FILENAME, # plot line contour for global average if MEAN_CONTOUR and CONTOURS: # calculate areas of each grid cell - dphi,dth = (dlon*np.pi/180.0,dlat*np.pi/180.0) + dphi,dth = (np.radians(dlon), np.radians(dlat)) indy,indx = np.nonzero(np.logical_not(data.mask)) - area = (rad_e**2)*dth*dphi*np.cos(lat[indy,indx]*np.pi/180.0) + area = (rad_e**2)*dth*dphi*np.cos(np.radians(lat[indy,indx])) # calculate average ave = np.sum(area*data[indy,indx])/np.sum(area) # plot line contour of global average @@ -641,7 +641,8 @@ def arguments(): help='Input grid file') # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # Input data format (ascii, netCDF4, HDF5) parser.add_argument('--format','-F', diff --git a/mapping/plot_QML_grid_3maps.py b/mapping/plot_QML_grid_3maps.py index ae50db05..d2bda2df 100644 --- a/mapping/plot_QML_grid_3maps.py +++ b/mapping/plot_QML_grid_3maps.py @@ -479,9 +479,9 @@ def plot_grid(base_dir, FILENAMES, # plot line contour for global average if MEAN_CONTOUR and CONTOURS: # calculate areas of each grid cell - dphi,dth = (dlon*np.pi/180.0,dlat*np.pi/180.0) + dphi,dth = (np.radians(dlon), np.radians(dlat)) indy,indx = np.nonzero(np.logical_not(data.mask)) - area = (rad_e**2)*dth*dphi*np.cos(lat[indy,indx]*np.pi/180.0) + area = (rad_e**2)*dth*dphi*np.cos(np.radians(lat[indy,indx])) # calculate average ave=np.sum(area*data[indy,indx])/np.sum(area) # plot line contour of global average @@ -591,7 +591,8 @@ def arguments(): help='Input grid files') # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # Input data format (ascii, netCDF4, HDF5) parser.add_argument('--format','-F', diff --git a/mapping/plot_global_grid_3maps.py b/mapping/plot_global_grid_3maps.py index d8736213..b3f9c145 100644 --- a/mapping/plot_global_grid_3maps.py +++ b/mapping/plot_global_grid_3maps.py @@ -346,9 +346,9 @@ def plot_grid(base_dir, FILENAMES, # plot line contour for global average if MEAN_CONTOUR and CONTOURS: # calculate areas of each grid cell - dphi,dth = (dlon*np.pi/180.0,dlat*np.pi/180.0) + dphi,dth = (np.radians(dlon), np.radians(dlat)) indy,indx = np.nonzero(np.logical_not(dinput.mask)) - area = (rad_e**2)*dth*dphi*np.cos(lat[indy,indx]*np.pi/180.0) + area = (rad_e**2)*dth*dphi*np.cos(np.radians(lat[indy,indx])) # calculate average ave = np.sum(area*dinput.data[indy,indx])/np.sum(area) # plot line contour of global average @@ -443,7 +443,8 @@ def arguments(): help='Input grid files') # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # Input data format (ascii, netCDF4, HDF5) parser.add_argument('--format','-F', diff --git a/mapping/plot_global_grid_4maps.py b/mapping/plot_global_grid_4maps.py index 96fcf4c4..88e64a85 100644 --- a/mapping/plot_global_grid_4maps.py +++ b/mapping/plot_global_grid_4maps.py @@ -346,9 +346,9 @@ def plot_grid(base_dir, FILENAMES, # plot line contour for global average if MEAN_CONTOUR and CONTOURS: # calculate areas of each grid cell - dphi,dth = (dlon*np.pi/180.0,dlat*np.pi/180.0) + dphi,dth = (np.radians(dlon), np.radians(dlat)) indy,indx = np.nonzero(np.logical_not(dinput.mask)) - area = (rad_e**2)*dth*dphi*np.cos(lat[indy,indx]*np.pi/180.0) + area = (rad_e**2)*dth*dphi*np.cos(np.radians(lat[indy,indx])) # calculate average ave = np.sum(area*dinput.data[indy,indx])/np.sum(area) # plot line contour of global average @@ -445,7 +445,8 @@ def arguments(): help='Input grid files') # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # Input data format (ascii, netCDF4, HDF5) parser.add_argument('--format','-F', diff --git a/mapping/plot_global_grid_5maps.py b/mapping/plot_global_grid_5maps.py index 5deef916..f6a4b10e 100644 --- a/mapping/plot_global_grid_5maps.py +++ b/mapping/plot_global_grid_5maps.py @@ -352,9 +352,9 @@ def plot_grid(base_dir, FILENAMES, # plot line contour for global average if MEAN_CONTOUR and CONTOURS: # calculate areas of each grid cell - dphi,dth = (dlon*np.pi/180.0,dlat*np.pi/180.0) + dphi,dth = (np.radians(dlon), np.radians(dlat)) indy,indx = np.nonzero(np.logical_not(dinput.mask)) - area = (rad_e**2)*dth*dphi*np.cos(lat[indy,indx]*np.pi/180.0) + area = (rad_e**2)*dth*dphi*np.cos(np.radians(lat[indy,indx])) # calculate average ave = np.sum(area*dinput.data[indy,indx])/np.sum(area) # plot line contour of global average @@ -451,7 +451,8 @@ def arguments(): help='Input grid files') # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # Input data format (ascii, netCDF4, HDF5) parser.add_argument('--format','-F', diff --git a/mapping/plot_global_grid_9maps.py b/mapping/plot_global_grid_9maps.py index 4406f4ce..064847bb 100644 --- a/mapping/plot_global_grid_9maps.py +++ b/mapping/plot_global_grid_9maps.py @@ -347,9 +347,9 @@ def plot_grid(base_dir, FILENAMES, # plot line contour for global average if MEAN_CONTOUR and CONTOURS: # calculate areas of each grid cell - dphi,dth = (dlon*np.pi/180.0,dlat*np.pi/180.0) + dphi,dth = (np.radians(dlon), np.radians(dlat)) indy,indx = np.nonzero(np.logical_not(dinput.mask)) - area = (rad_e**2)*dth*dphi*np.cos(lat[indy,indx]*np.pi/180.0) + area = (rad_e**2)*dth*dphi*np.cos(np.radians(lat[indy,indx])) # calculate average ave = np.sum(area*dinput.data[indy,indx])/np.sum(area) # plot line contour of global average @@ -446,7 +446,8 @@ def arguments(): help='Input grid files') # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # Input data format (ascii, netCDF4, HDF5) parser.add_argument('--format','-F', diff --git a/mapping/plot_global_grid_maps.py b/mapping/plot_global_grid_maps.py index 761abd59..afa9f76b 100644 --- a/mapping/plot_global_grid_maps.py +++ b/mapping/plot_global_grid_maps.py @@ -320,9 +320,9 @@ def plot_grid(base_dir, FILENAME, # plot line contour for global average if MEAN_CONTOUR and CONTOURS: # calculate areas of each grid cell - dphi,dth = (dlon*np.pi/180.0,dlat*np.pi/180.0) + dphi,dth = (np.radians(dlon), np.radians(dlat)) indy,indx = np.nonzero(np.logical_not(dinput.mask)) - area = (rad_e**2)*dth*dphi*np.cos(lat[indy,indx]*np.pi/180.0) + area = (rad_e**2)*dth*dphi*np.cos(np.radians(lat[indy,indx])) # calculate average ave = np.sum(area*dinput.data[indy,indx])/np.sum(area) # plot line contour of global average @@ -430,7 +430,8 @@ def arguments(): help='Input grid file') # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # Input data format (ascii, netCDF4, HDF5) parser.add_argument('--format','-F', diff --git a/mapping/plot_global_grid_movie.py b/mapping/plot_global_grid_movie.py index eff08e2e..0f11713f 100644 --- a/mapping/plot_global_grid_movie.py +++ b/mapping/plot_global_grid_movie.py @@ -420,9 +420,9 @@ def animate_grid(base_dir, FILENAME, # plot line contour for global average if MEAN_CONTOUR and CONTOURS: # calculate areas of each grid cell - dphi,dth = (dlon*np.pi/180.0,dlat*np.pi/180.0) + dphi,dth = (np.radians(dlon), np.radians(dlat)) indy,indx = np.nonzero(np.logical_not(subset.mask)) - area = (rad_e**2)*dth*dphi*np.cos(lat[indy,indx]*np.pi/180.0) + area = (rad_e**2)*dth*dphi*np.cos(np.radians(lat[indy,indx])) # calculate average ave = np.sum(area*subset.data[indy,indx])/np.sum(area) # plot line contour of global average @@ -457,7 +457,8 @@ def arguments(): help='Input grid file') # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # Input data format (ascii, netCDF4, HDF5) parser.add_argument('--format','-F', diff --git a/pixi.lock b/pixi.lock index ca312704..d80f0d49 100644 --- a/pixi.lock +++ b/pixi.lock @@ -16,11 +16,11 @@ environments: - conda: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-25.1.0-py313h07c4f96_1.conda - conda: https://conda.anaconda.org/conda-forge/linux-64/attr-2.5.2-h39aace5_0.conda - conda: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda - - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hb03c661_4.conda - - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.1.0-hb03c661_4.conda - - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py313h7033f15_4.conda + - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.2.0-hed03a55_1.conda + - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.2.0-hb03c661_1.conda + - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py313hf159716_1.conda - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_8.conda - - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.5-hb9d3cd8_0.conda + - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.6-hb03c661_0.conda - 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conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.25.0-py313h5fd188c_0.conda sha256: d20a163a466621e41c3d06bc5dc3040603b8b0bfa09f493e2bfc0dbd5aa6e911 md5: edfe43bb6e955d4d9b5e7470ea92dead @@ -11929,6 +17326,7 @@ packages: - matplotlib - netcdf4 - numpy + - platformdirs - python-dateutil - pyyaml - scipy>=1.10.1 @@ -11941,17 +17339,24 @@ packages: - sphinxcontrib-bibtex ; extra == 'doc' - sphinx-design ; extra == 'doc' - sphinx-rtd-theme ; extra == 'doc' - - cartopy ; extra == 'all' - geoid-toolkit ; extra == 'all' - h5py ; extra == 'all' - jupyterlab ; extra == 'all' - jupyterlab-widgets ; extra == 'all' - notebook ; extra == 'all' - - shapely ; extra == 'all' + - dask ; extra == 'aws' + - obstore ; extra == 'aws' + - pyarrow ; extra == 'aws' + - s3fs ; extra == 'aws' + - zarr>=3 ; extra == 'aws' - flake8 ; extra == 'dev' - pytest>=4.6 ; extra == 'dev' - pytest-cov ; extra == 'dev' - pytest-xdist ; extra == 'dev' + - cartopy ; extra == 'map' + - gdal ; extra == 'map' + - pyshp ; extra == 'map' + - shapely ; extra == 'map' requires_python: ~=3.6 - pypi: https://files.pythonhosted.org/packages/91/4c/e0ce1ef95d4000ebc1c11801f9b944fa5910ecc15b5e351865763d8657f8/graphviz-0.21-py3-none-any.whl name: graphviz diff --git a/pyproject.toml b/pyproject.toml index f87fadb4..57894a69 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -16,15 +16,14 @@ keywords = [ authors = [ {name = "Tyler Sutterley"}, - {name = "Hugo Lecomte"}, - {name = "Yara Mohajerani"}, - {name = "Isabella Velicogna"}, {email = "tsutterl@uw.edu"} ] -maintainers = [{ name = "gravity-toolkit contributors" }] +maintainers = [ + { name = "gravity-toolkit contributors" } +] license = "MIT" license-files = ["LICENSE"] -readme = "README.rst" +readme = {file = "README.md", content-type = "text/markdown"} requires-python = "~=3.6" dependencies = [ @@ -34,6 +33,7 @@ dependencies = [ "matplotlib", "netCDF4", "numpy", + "platformdirs", "python-dateutil", "pyyaml", "scipy>=1.10.1", @@ -44,13 +44,12 @@ classifiers=[ "Intended Audience :: Science/Research", "Operating System :: OS Independent", "Programming Language :: Python :: 3", - "Programming Language :: Python :: 3.6", - "Programming Language :: Python :: 3.7", - "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", + "Programming Language :: Python :: 3.13", + "Programming Language :: Python :: 3.14", "Topic :: Scientific/Engineering :: Physics", ] @@ -62,8 +61,10 @@ Issues = "https://github.com/tsutterley/gravity-toolkit/issues" [project.optional-dependencies] doc = ["docutils", "graphviz", "myst-nb", "numpydoc", "sphinx", "sphinx-argparse>=0.4", "sphinxcontrib-bibtex", "sphinx-design", "sphinx_rtd_theme"] -all = ["cartopy", "geoid-toolkit", "h5py", "jupyterlab", "jupyterlab_widgets", "notebook", "shapely"] +all = ["geoid-toolkit", "h5py", "jupyterlab", "jupyterlab_widgets", "notebook"] +aws = ["dask", "obstore", "pyarrow", "s3fs", "zarr>=3"] dev = ["flake8", "pytest>=4.6", "pytest-cov", "pytest-xdist"] +map = ["cartopy", "gdal", "pyshp", "shapely"] [tool.setuptools.packages.find] exclude = ["test*", "run*"] @@ -103,6 +104,29 @@ precision = 2 [tool.ruff] line-length = 80 indent-width = 4 +exclude = [ + ".git", + ".pixi", + "build", + "run", + "test", +] + +[tool.ruff.lint] +select = [ + # Pyflakes + "F", + # pyupgrade + "UP", + # flake8-bugbear + "B", + # flake8-simplify + "SIM", + # isort + "I", + # ruff-specific + "RUF", +] [tool.ruff.lint.pydocstyle] convention = "numpy" @@ -110,6 +134,7 @@ convention = "numpy" [tool.ruff.format] quote-style = "single" indent-style = "space" +line-ending = "auto" docstring-code-format = false [tool.pixi.workspace] @@ -124,8 +149,10 @@ gravity-toolkit = { path = ".", editable = true } [tool.pixi.environments] default = { solve-group = "default" } all = { features = ["all"], solve-group = "default" } -dev = { features = ["all", "dev", "doc"], solve-group = "default" } +aws = { features = ["all", "aws"], solve-group = "default" } +dev = { features = ["all", "dev", "map", "doc"], solve-group = "default" } doc = { features = ["all", "doc"], solve-group = "default" } +map = { features = ["all", "map"], solve-group = "default" } [tool.pixi.tasks.start] cmd = "jupyter lab" @@ -138,10 +165,16 @@ cmd = "pixi workspace export conda-environment {{ flags }} > environment.yml" description = "Export workspace to a conda environment file" [tool.pixi.feature.doc.tasks.docs] -args = [ { "arg" = "flags", "default" = "" } ] -cmd = "make html {{ flags }}" +args = [ { "arg" = "builder", "default" = "html"}, { "arg" = "flags", "default" = "" } ] +cmd = "make {{ builder }} {{ flags }}" +cwd = "doc" +description = "Create documentation with sphinx" + +[tool.pixi.feature.doc.tasks.clean-docs] +args = [ { "arg" = "builder", "default" = "html"}, { "arg" = "flags", "default" = "" } ] +cmd = "make clean && make {{ builder }} {{ flags }}" cwd = "doc" -description = "Create HTML documentation with sphinx" +description = "Remove build artifacts and rebuild the documentation with sphinx" [tool.pixi.feature.dev.tasks.test] args = [ { "arg" = "flags", "default" = "" }, { "arg" = "test", "default" = "." } ] @@ -166,12 +199,12 @@ lxml = "*" matplotlib-base = "*" netcdf4 = "*" numpy = "*" +platformdirs = "*" python-dateutil = "*" pyyaml = "*" scipy = "*" [tool.pixi.feature.all.dependencies] -cartopy = "*" geoid-toolkit = "*" h5py = "*" ipympl = "*" @@ -179,7 +212,13 @@ ipywidgets = "*" jupyterlab = "*" jupyterlab_widgets = "*" notebook = "*" -shapely = "*" + +[tool.pixi.feature.aws.dependencies] +dask = "*" +obstore = "*" +pyarrow = "*" +s3fs = "*" +zarr = ">=3" [tool.pixi.feature.dev.dependencies] flake8 = "*" @@ -198,3 +237,9 @@ sphinx-argparse = "*" sphinxcontrib-bibtex = "*" sphinx-design = "*" sphinx_rtd_theme = "*" + +[tool.pixi.feature.map.dependencies] +cartopy = "*" +gdal = "*" +pyshp = "*" +shapely = "*" diff --git a/scripts/calc_SLR_RMS.py b/scripts/calc_SLR_RMS.py index 42b3031c..6cc48de9 100644 --- a/scripts/calc_SLR_RMS.py +++ b/scripts/calc_SLR_RMS.py @@ -195,7 +195,8 @@ def arguments(): ) # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # start and end GRACE/GRACE-FO months parser.add_argument('--start','-S', diff --git a/scripts/calc_mascon.py b/scripts/calc_mascon.py index 48f7dd7e..560afbb5 100644 --- a/scripts/calc_mascon.py +++ b/scripts/calc_mascon.py @@ -771,10 +771,12 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for mascon files') # Data processing center or satellite mission parser.add_argument('--center','-c', diff --git a/scripts/calc_sensitivity_kernel.py b/scripts/calc_sensitivity_kernel.py index f3563e2f..9bae8abe 100644 --- a/scripts/calc_sensitivity_kernel.py +++ b/scripts/calc_sensitivity_kernel.py @@ -441,7 +441,7 @@ def calc_sensitivity_kernel(LMAX, RAD, n_lat = len(grid.lat) # Computing plms for converting to spatial domain - theta = (90.0-grid.lat)*np.pi/180.0 + theta = np.radians(90.0 - grid.lat) PLM, dPLM = gravtk.plm_holmes(LMAX, np.cos(theta)) # for each mascon @@ -516,7 +516,8 @@ def arguments(): parser.convert_arg_line_to_args = gravtk.utilities.convert_arg_line_to_args # command line parameters parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for mascon files') # minimum spherical harmonic degree parser.add_argument('--lmin', diff --git a/scripts/combine_HEX_ATM_errors.py b/scripts/combine_HEX_ATM_errors.py index 975d658e..04cdd797 100644 --- a/scripts/combine_HEX_ATM_errors.py +++ b/scripts/combine_HEX_ATM_errors.py @@ -328,10 +328,12 @@ def arguments(): help='Reanalysis Models') # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for mascon files') # maximum spherical harmonic degree and order parser.add_argument('--lmax','-l', diff --git a/scripts/combine_HEX_Caron_errors.py b/scripts/combine_HEX_Caron_errors.py index 5618aa80..3104f015 100644 --- a/scripts/combine_HEX_Caron_errors.py +++ b/scripts/combine_HEX_Caron_errors.py @@ -229,7 +229,8 @@ def arguments(): parser.convert_arg_line_to_args = gravtk.utilities.convert_arg_line_to_args # command line parameters parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for mascon files') # maximum spherical harmonic degree and order parser.add_argument('--lmax','-l', diff --git a/scripts/combine_HEX_OBP_errors.py b/scripts/combine_HEX_OBP_errors.py index 5b957e61..c6d02041 100644 --- a/scripts/combine_HEX_OBP_errors.py +++ b/scripts/combine_HEX_OBP_errors.py @@ -356,10 +356,12 @@ def arguments(): help='ECCO Models') # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for mascon files') # GRACE/GRACE-FO Level-2 data product parser.add_argument('--product','-p', diff --git a/scripts/combine_HEX_SLF_errors.py b/scripts/combine_HEX_SLF_errors.py index 4cb5ef68..0c964332 100644 --- a/scripts/combine_HEX_SLF_errors.py +++ b/scripts/combine_HEX_SLF_errors.py @@ -246,7 +246,8 @@ def arguments(): parser.convert_arg_line_to_args = gravtk.utilities.convert_arg_line_to_args # command line parameters parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for mascon files') # maximum spherical harmonic degree and order parser.add_argument('--lmax','-l', diff --git a/scripts/combine_HEX_TWC_errors.py b/scripts/combine_HEX_TWC_errors.py index d6d2e2bd..9ece0745 100644 --- a/scripts/combine_HEX_TWC_errors.py +++ b/scripts/combine_HEX_TWC_errors.py @@ -319,10 +319,12 @@ def arguments(): help='GLDAS land surface model') # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for mascon files') # start and end GRACE/GRACE-FO months parser.add_argument('--start','-S', diff --git a/scripts/combine_HEX_leakage.py b/scripts/combine_HEX_leakage.py index 9bc6baae..221e975d 100644 --- a/scripts/combine_HEX_leakage.py +++ b/scripts/combine_HEX_leakage.py @@ -267,7 +267,8 @@ def arguments(): parser.convert_arg_line_to_args = gravtk.utilities.convert_arg_line_to_args # command line parameters parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for mascon files') parser.add_argument('--file-prefix','-P', type=str, diff --git a/scripts/combine_HEX_mascon_timeseries.py b/scripts/combine_HEX_mascon_timeseries.py index a947f3bd..5b1e09b3 100644 --- a/scripts/combine_HEX_mascon_timeseries.py +++ b/scripts/combine_HEX_mascon_timeseries.py @@ -259,7 +259,8 @@ def arguments(): parser.convert_arg_line_to_args = gravtk.utilities.convert_arg_line_to_args # command line parameters parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for mascon files') parser.add_argument('--file-prefix','-P', type=str, diff --git a/scripts/combine_HEX_mascons.py b/scripts/combine_HEX_mascons.py index 38252670..53623405 100644 --- a/scripts/combine_HEX_mascons.py +++ b/scripts/combine_HEX_mascons.py @@ -269,7 +269,8 @@ def arguments(): parser.convert_arg_line_to_args = gravtk.utilities.convert_arg_line_to_args # command line parameters parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for mascon files') parser.add_argument('--file-prefix','-P', type=str, diff --git a/scripts/combine_HEX_spherical_caps.py b/scripts/combine_HEX_spherical_caps.py index c1d8dc2c..b004c043 100644 --- a/scripts/combine_HEX_spherical_caps.py +++ b/scripts/combine_HEX_spherical_caps.py @@ -305,7 +305,7 @@ def combine_HEX_spherical_caps(PROC, DREL, DSET, LMAX, RAD, # output GRACE regional time-series total_mass = grace_reg[i] total_thick = 1e15*total_mass/area_reg[i] - total_error = np.sqrt(grace_error[i]**2 + statistical_reg[i]**2) + total_error = np.hypot(grace_error[i], statistical_reg[i]) thick_error = 1e15*total_error/area_reg[i] # total area in kilometers^2 area_km = area_reg[i]/1e10 @@ -334,7 +334,8 @@ def arguments(): parser.convert_arg_line_to_args = gravtk.utilities.convert_arg_line_to_args # command line parameters parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for mascon files') # GRACE/GRACE-FO data processing center parser.add_argument('--center','-c', diff --git a/scripts/combine_harmonics.py b/scripts/combine_harmonics.py index 17df8b35..714cff2f 100644 --- a/scripts/combine_harmonics.py +++ b/scripts/combine_harmonics.py @@ -273,7 +273,7 @@ def combine_harmonics(INPUT_FILE, OUTPUT_FILE, attributes['ROOT']['earth_gravity_constant'] = f'{factors.GM:0.3f} cm^3/s^2' # Computing plms for converting to spatial domain - theta = (90.0 - grid.lat)*np.pi/180.0 + theta = np.radians(90.0 - grid.lat) PLM, dPLM = gravtk.plm_holmes(LMAX, np.cos(theta)) # converting harmonics to truncated, smoothed coefficients in output units diff --git a/scripts/combine_sea_level_data.py b/scripts/combine_sea_level_data.py index f1000855..1d21cd02 100755 --- a/scripts/combine_sea_level_data.py +++ b/scripts/combine_sea_level_data.py @@ -109,7 +109,7 @@ def combine_sea_level_data(index_file, dlon,dlat = landsea.spacing nlat, nlon = landsea.shape # longitude and colatitude in radians - th = (90.0 - np.squeeze(landsea.lat))*np.pi/180.0 + th = np.radians(90.0 - np.squeeze(landsea.lat)) # Calculating Legendre Polynomials using Holmes and Featherstone relation PLM, dPLM = gravtk.plm_holmes(LMAX, np.cos(th)) @@ -178,7 +178,8 @@ def arguments(): type=pathlib.Path, help='Input index file with spherical harmonic data files') parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for files') parser.add_argument('--file-prefix','-P', type=str, diff --git a/scripts/convert_harmonics.py b/scripts/convert_harmonics.py index 482ade8c..c6d7eeee 100644 --- a/scripts/convert_harmonics.py +++ b/scripts/convert_harmonics.py @@ -187,7 +187,7 @@ def convert_harmonics(INPUT_FILE, OUTPUT_FILE, attributes['earth_gravity_constant'] = f'{factors.GM:0.3f} cm^3/s^2' # calculate associated Legendre polynomials - th = (90.0 - input_spatial.lat)*np.pi/180.0 + th = np.radians(90.0 - input_spatial.lat) PLM, dPLM = gravtk.plm_holmes(LMAX, np.cos(th)) # create list of harmonics objects diff --git a/scripts/copy_parameter_files.py b/scripts/copy_parameter_files.py index be4bf0b7..6da8160e 100644 --- a/scripts/copy_parameter_files.py +++ b/scripts/copy_parameter_files.py @@ -300,7 +300,8 @@ def arguments(): help='Parameter files containing specific variables for each analysis') # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # start and end GRACE/GRACE-FO months parser.add_argument('--start','-S', diff --git a/scripts/create_public_SLF_data.py b/scripts/create_public_SLF_data.py index 12c21e50..dc38953c 100644 --- a/scripts/create_public_SLF_data.py +++ b/scripts/create_public_SLF_data.py @@ -253,7 +253,8 @@ def arguments(): parser.convert_arg_line_to_args = gravtk.utilities.convert_arg_line_to_args # command line parameters parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') parser.add_argument('--output-directory','-O', type=pathlib.Path, diff --git a/scripts/create_public_timeseries.py b/scripts/create_public_timeseries.py index 1d8d438a..61a46509 100644 --- a/scripts/create_public_timeseries.py +++ b/scripts/create_public_timeseries.py @@ -332,7 +332,8 @@ def arguments(): parser.convert_arg_line_to_args = gravtk.utilities.convert_arg_line_to_args # command line parameters parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') parser.add_argument('--output-directory','-O', type=pathlib.Path, diff --git a/scripts/gia_covariance_errors_caron.py b/scripts/gia_covariance_errors_caron.py index a808db14..3e5a3d03 100644 --- a/scripts/gia_covariance_errors_caron.py +++ b/scripts/gia_covariance_errors_caron.py @@ -413,10 +413,12 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for mascon files') # minimum spherical harmonic degree parser.add_argument('--lmin', diff --git a/scripts/grace_mean_harmonics.py b/scripts/grace_mean_harmonics.py index 87456404..98fba868 100644 --- a/scripts/grace_mean_harmonics.py +++ b/scripts/grace_mean_harmonics.py @@ -348,7 +348,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # Data processing center or satellite mission parser.add_argument('--center','-c', diff --git a/scripts/grace_raster_grids.py b/scripts/grace_raster_grids.py index af4db8ec..bd16709c 100644 --- a/scripts/grace_raster_grids.py +++ b/scripts/grace_raster_grids.py @@ -581,10 +581,12 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for raster files') parser.add_argument('--file-prefix','-P', type=str, diff --git a/scripts/grace_spatial_differences.py b/scripts/grace_spatial_differences.py index 2330d99f..c5fac42f 100644 --- a/scripts/grace_spatial_differences.py +++ b/scripts/grace_spatial_differences.py @@ -317,7 +317,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for spatial files') # GRACE/GRACE-FO flags # 'wSLR_C20_wDEG1' diff --git a/scripts/grace_spatial_error.py b/scripts/grace_spatial_error.py index f20672b5..f8f5f935 100755 --- a/scripts/grace_spatial_error.py +++ b/scripts/grace_spatial_error.py @@ -419,11 +419,11 @@ def grace_spatial_error(base_dir, PROC, DREL, DSET, LMAX, RAD, delta.attributes['ROOT'] = attributes # Computing plms for converting to spatial domain - phi = delta.lon[np.newaxis,:]*np.pi/180.0 - theta = (90.0 - delta.lat)*np.pi/180.0 + phi = np.radians(delta.lon[np.newaxis,:]) + theta = np.radians(90.0 - delta.lat) PLM, dPLM = gravtk.plm_holmes(LMAX, np.cos(theta)) # square of legendre polynomials truncated to order MMAX - mm = np.arange(0,MMAX+1) + mm = np.arange(0, MMAX+1) PLM2 = PLM[:,mm,:]**2 # Calculating cos(m*phi)^2 and sin(m*phi)^2 @@ -515,10 +515,12 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for spatial files') parser.add_argument('--file-prefix','-P', type=str, diff --git a/scripts/grace_spatial_maps.py b/scripts/grace_spatial_maps.py index ea65903a..aff3cf83 100755 --- a/scripts/grace_spatial_maps.py +++ b/scripts/grace_spatial_maps.py @@ -426,7 +426,7 @@ def grace_spatial_maps(base_dir, PROC, DREL, DSET, LMAX, RAD, nlat = len(grid.lat) # Computing plms for converting to spatial domain - theta = (90.0-grid.lat)*np.pi/180.0 + theta = np.radians(90.0 - grid.lat) PLM, dPLM = gravtk.plm_holmes(LMAX, np.cos(theta)) # output spatial units @@ -537,10 +537,12 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for spatial files') parser.add_argument('--file-prefix','-P', type=str, diff --git a/scripts/grace_spatial_mask.py b/scripts/grace_spatial_mask.py index 500af593..d124ffb7 100644 --- a/scripts/grace_spatial_mask.py +++ b/scripts/grace_spatial_mask.py @@ -289,7 +289,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for spatial files') parser.add_argument('--file-prefix','-P', type=str, diff --git a/scripts/grace_spatial_mean.py b/scripts/grace_spatial_mean.py index 46d753fb..d88d38d5 100644 --- a/scripts/grace_spatial_mean.py +++ b/scripts/grace_spatial_mean.py @@ -392,7 +392,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for spatial files') # GRACE/GRACE-FO flags # 'wSLR_C20_wDEG1' diff --git a/scripts/make_sea_level_error_shells.py b/scripts/make_sea_level_error_shells.py index dd5a8940..b3a001ae 100755 --- a/scripts/make_sea_level_error_shells.py +++ b/scripts/make_sea_level_error_shells.py @@ -405,7 +405,8 @@ def arguments(): parser.convert_arg_line_to_args = gravtk.utilities.convert_arg_line_to_args # command line parameters parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for mascon files') # GRACE/GRACE-FO data processing center parser.add_argument('--center','-c', diff --git a/scripts/make_sea_level_mascon_shells.py b/scripts/make_sea_level_mascon_shells.py index f2ae0b87..07e9ffc2 100755 --- a/scripts/make_sea_level_mascon_shells.py +++ b/scripts/make_sea_level_mascon_shells.py @@ -402,7 +402,8 @@ def arguments(): parser.convert_arg_line_to_args = gravtk.utilities.convert_arg_line_to_args # command line parameters parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for mascon files') # GRACE/GRACE-FO data processing center parser.add_argument('--center','-c', diff --git a/scripts/make_sea_level_shells.py b/scripts/make_sea_level_shells.py index c6836b12..abe24fed 100755 --- a/scripts/make_sea_level_shells.py +++ b/scripts/make_sea_level_shells.py @@ -181,7 +181,8 @@ def arguments(): help='Input index file with spherical harmonic data files') # output working data directory parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for sea level files') parser.add_argument('--file-prefix','-P', type=str, diff --git a/scripts/mascon_reconstruct.py b/scripts/mascon_reconstruct.py index 78ab5500..a63065e8 100644 --- a/scripts/mascon_reconstruct.py +++ b/scripts/mascon_reconstruct.py @@ -281,7 +281,8 @@ def arguments(): parser.convert_arg_line_to_args = gravtk.utilities.convert_arg_line_to_args # command line parameters parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for mascon files') # GRACE/GRACE-FO Level-2 data product parser.add_argument('--product','-p', diff --git a/scripts/piecewise_grace_maps.py b/scripts/piecewise_grace_maps.py index f936dc1f..a4ee0a3a 100755 --- a/scripts/piecewise_grace_maps.py +++ b/scripts/piecewise_grace_maps.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" piecewise_grace_maps.py -Written by Tyler Sutterley (06/2023) +Written by Tyler Sutterley (07/2026) Reads in GRACE/GRACE-FO spatial files and fits a piecewise regression model at each grid point for breakpoint analysis @@ -60,6 +60,7 @@ utilities.py: download and management utilities for files UPDATE HISTORY: + Updated 07/2026: use np.hypot to calculate the sum of two squares Updated 06/2023: append amplitude and phase titles when creating flags more tidal aliasing periods using values from Ray and Luthcke (2006) Updated 05/2023: split S2 tidal aliasing terms into GRACE and GRACE-FO eras @@ -216,7 +217,7 @@ def piecewise_grace_maps(LMAX, RAD, # find index of breakpoint within GRACE/GRACE-FO months if BREAKPOINT not in grid.month: raise ValueError(f'{BREAKPOINT} not found in GRACE/GRACE-FO months') - breakpoint_index, = np.nonzero(grid.month == BREAKPOINT) + breakpoint_index, = np.flatnonzero(grid.month == BREAKPOINT) # Setting output parameters coef_str = ['x0', 'px1', 'px1'] @@ -366,16 +367,15 @@ def piecewise_grace_maps(LMAX, RAD, out.data[:,:,j], out.data[:,:,j+1] ) # convert phase from -180:180 to 0:360 - ii,jj = np.nonzero(ph.data < 0) - ph.data[ii,jj] += 360.0 + ph.data = np.where(ph.data < 0, ph.data + 360.0, ph.data) # Amplitude Error comp1 = out.error[:,:,j]*out.data[:,:,j]/amp.data comp2 = out.error[:,:,j+1]*out.data[:,:,j+1]/amp.data - amp.error = np.sqrt(comp1**2 + comp2**2) + amp.error = np.hypot(comp1, comp2) # Phase Error (degrees) comp1 = out.error[:,:,j]*out.data[:,:,j+1]/(amp.data**2) comp2 = out.error[:,:,j+1]*out.data[:,:,j]/(amp.data**2) - ph.error = (180.0/np.pi)*np.sqrt(comp1**2 + comp2**2) + ph.error = np.degrees(np.hypot(comp1, comp2)) # output file names for amplitude, phase and errors f2 = (FILE_PREFIX, units, LMAX, order_str, @@ -523,7 +523,8 @@ def arguments(): parser.convert_arg_line_to_args = gravtk.utilities.convert_arg_line_to_args # command line parameters parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for spatial files') parser.add_argument('--file-prefix','-P', type=str, diff --git a/scripts/plot_SLR_azimuthal.py b/scripts/plot_SLR_azimuthal.py index 21d55ac3..22431604 100644 --- a/scripts/plot_SLR_azimuthal.py +++ b/scripts/plot_SLR_azimuthal.py @@ -103,7 +103,7 @@ def plot_SLR_azimuthal(base_dir, PROC, DREL, START_MON, END_MON, MISSING): 'CSR SLR','GSFC SLR','GFZ GravIS'] plot_zorder = [0,3,1,2] fig_text = {'C21':'a)','S21':'b)'} - plot_ylabel = {'C21':'C$\mathregular{_{21}}$','S21':'S$\mathregular{_{21}}$'} + plot_ylabel = {'C21':r'C$\mathregular{_{21}}$','S21':r'S$\mathregular{_{21}}$'} CSR = dict(time=CSR_CS2['time'],month=CSR_CS2['month']) GSFC = dict(time=GSFC_CS2['time'],month=GSFC_CS2['month']) GFZ = dict(time=GFZ_CS2['time'],month=GFZ_CS2['month']) @@ -280,7 +280,8 @@ def arguments(): ) # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # GRACE/GRACE-FO data processing center parser.add_argument('--center','-C', diff --git a/scripts/plot_SLR_zonals.py b/scripts/plot_SLR_zonals.py index 63b516da..6f2bf48f 100644 --- a/scripts/plot_SLR_zonals.py +++ b/scripts/plot_SLR_zonals.py @@ -389,7 +389,8 @@ def arguments(): ) # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # GRACE/GRACE-FO data processing center parser.add_argument('--center','-C', diff --git a/scripts/plot_mascon_SLF_combined.py b/scripts/plot_mascon_SLF_combined.py index 15cfac8a..b9e9e83a 100644 --- a/scripts/plot_mascon_SLF_combined.py +++ b/scripts/plot_mascon_SLF_combined.py @@ -33,12 +33,7 @@ import argparse import warnings import numpy as np -import gravity_toolkit.time -import gravity_toolkit.units -import gravity_toolkit.spatial -import gravity_toolkit.utilities -from gravity_toolkit.gen_harmonics import gen_harmonics -from gravity_toolkit.read_GIA_model import read_GIA_model +import gravity_toolkit as gravtk # attempt imports try: @@ -129,8 +124,8 @@ def plot_mascon_SLF_combined(base_dir,PROC,DREL,START_MON,END_MON,MISSING): # Land-Sea Mask (with Antarctica from Rignot et al., 2017) # 0=Ocean, 1=Land, 2=Lake, 3=Small Island, 4=Ice Shelf # Open the land-sea NetCDF file for reading - LSMASK = gravity_toolkit.utilities.get_data_path(['data','landsea_hd.nc']) - landsea = gravity_toolkit.spatial().from_netCDF4(LSMASK, + LSMASK = gravtk.utilities.get_data_path(['data','landsea_hd.nc']) + landsea = gravtk.spatial().from_netCDF4(LSMASK, date=False, varname='LSMASK') # create land function nth,nphi = landsea.shape @@ -142,11 +137,11 @@ def plot_mascon_SLF_combined(base_dir,PROC,DREL,START_MON,END_MON,MISSING): ocean_function = 1.0 - land_function # convert ocean function into a series of spherical harmonics # (Note that LMAX=0 in the call to gen_harmonics) - Ylms = gen_harmonics(ocean_function.T, landsea.lon, landsea.lat, + Ylms = gravtk.gen_harmonics(ocean_function.T, landsea.lon, landsea.lat, LMAX=0, PLM=np.ones((1,1,nth))) # total area of ocean calculated by integrating the ocean function # Average Radius of the Earth [mm] - rad_e = 10.0*gravity_toolkit.units().rad_e + rad_e = 10.0*gravtk.units().rad_e ocean_area = 4.0*np.pi*(rad_e**2)*Ylms.clm[0,0] # Setting output error alpha with confidence interval @@ -271,7 +266,7 @@ def plot_mascon_SLF_combined(base_dir,PROC,DREL,START_MON,END_MON,MISSING): subdir = sd.format(PROC,DREL,SLF[i],LMAX,START_MON,END_MON) # read each GIA model for k,GIA_FILE in enumerate(gia_files[g]): - gia_Ylms = read_GIA_model(base_dir.joinpath(*GIA_FILE), GIA=g) + gia_Ylms = gravtk.read_GIA_model(base_dir.joinpath(*GIA_FILE), GIA=g) gia_str = gia_Ylms['title'] input_file = ff.format(gia_str,reg,'',atm_str,ocean_str,LMAX,gw_str,ds_str) dinput = np.loadtxt(mascon_dir.joinpath(subdir,input_file)) @@ -326,7 +321,7 @@ def plot_mascon_SLF_combined(base_dir,PROC,DREL,START_MON,END_MON,MISSING): (tstar*gia_corrected_error[-1])**2)/ocean_area # vertical line denoting the accelerometer shutoff - acc = gravity_toolkit.time.convert_calendar_decimal(2016,9, + acc = gravtk.time.convert_calendar_decimal(2016,9, day=3,hour=12,minute=12) ax.axvline(acc,color='0.5',ls='dashed',lw=0.5,dashes=(12,6)) # vertical lines for end of the GRACE mission and start of GRACE-FO @@ -451,7 +446,7 @@ def plot_mascon_SLF_combined(base_dir,PROC,DREL,START_MON,END_MON,MISSING): subdir = sd.format(PROC,DREL,SLF[i],LMAX,START_MON,END_MON) # read each GIA model for k,GIA_FILE in enumerate(gia_files[g]): - gia_Ylms = read_GIA_model(base_dir.joinpath(*GIA_FILE), GIA=g) + gia_Ylms = gravtk.read_GIA_model(base_dir.joinpath(*GIA_FILE), GIA=g) gia_str = gia_Ylms['title'] input_file = ff.format(gia_str,reg,'',atm_str,ocean_str,LMAX,gw_str,ds_str) dinput = np.loadtxt(mascon_dir.joinpath(subdir,input_file)) @@ -485,7 +480,7 @@ def plot_mascon_SLF_combined(base_dir,PROC,DREL,START_MON,END_MON,MISSING): error_m1 = np.copy(grace_error) # vertical line denoting the accelerometer shutoff - acc = gravity_toolkit.time.convert_calendar_decimal(2016,9, + acc = gravtk.time.convert_calendar_decimal(2016,9, day=3,hour=12,minute=12) ax.axvline(acc,color='0.5',ls='dashed',lw=0.5,dashes=(12,6)) # vertical lines for end of the GRACE mission and start of GRACE-FO @@ -548,7 +543,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # GRACE/GRACE-FO data processing center parser.add_argument('--center','-c', diff --git a/scripts/plot_mascon_SLF_iterations.py b/scripts/plot_mascon_SLF_iterations.py index a1be3e08..65b4004b 100644 --- a/scripts/plot_mascon_SLF_iterations.py +++ b/scripts/plot_mascon_SLF_iterations.py @@ -1020,7 +1020,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # GRACE/GRACE-FO data processing center parser.add_argument('--center','-c', diff --git a/scripts/plot_mascon_SLF_timeseries.py b/scripts/plot_mascon_SLF_timeseries.py index 32f0c45f..3d0883cf 100644 --- a/scripts/plot_mascon_SLF_timeseries.py +++ b/scripts/plot_mascon_SLF_timeseries.py @@ -820,7 +820,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # GRACE/GRACE-FO data processing center parser.add_argument('--center','-c', diff --git a/scripts/regional_spherical_caps.py b/scripts/regional_spherical_caps.py index bf03edde..6789e992 100644 --- a/scripts/regional_spherical_caps.py +++ b/scripts/regional_spherical_caps.py @@ -169,7 +169,7 @@ def regional_spherical_caps(LMAX, rad_e = dfactor.rad_e# Average Radius of the Earth [cm] # colatitude of the spherical cap centers - th = (90.0 - lat)*np.pi/180.0 + th = np.radians(90.0 - lat) # Legendre polynomials of the spherical caps PLM, dPLM = gravtk.plm_holmes(LMAX, np.cos(th)) @@ -195,7 +195,7 @@ def regional_spherical_caps(LMAX, # area = (volume*density)/(mass/area) ar = 4.0*np.pi*(rad_e**3.0)*rho_e*np.squeeze(Ylms.clm[0,0])/3.0 # calculate equivalent radius (should equal RAD_CAP) - rad = np.sqrt(ar/np.pi)/rad_e*180.0/np.pi + rad = np.degrees(np.sqrt(ar/np.pi) / rad_e) # if verbose output: sanity check of radii args = (cap_number, RAD_CAP[i], rad) logging.info('{0:4d} {1:10.4f} {2:10.4f}'.format(*args)) @@ -289,7 +289,8 @@ def arguments(): parser.convert_arg_line_to_args = gravtk.utilities.convert_arg_line_to_args # command line parameters parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for mascon files') # maximum spherical harmonic degree and order parser.add_argument('--lmax','-l', diff --git a/scripts/regress_grace_maps.py b/scripts/regress_grace_maps.py index 62be313b..ba4d0a2a 100755 --- a/scripts/regress_grace_maps.py +++ b/scripts/regress_grace_maps.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" regress_grace_maps.py -Written by Tyler Sutterley (06/2023) +Written by Tyler Sutterley (07/2026) Reads in GRACE/GRACE-FO spatial files and fits a regression model at each grid point @@ -60,6 +60,7 @@ utilities.py: download and management utilities for files UPDATE HISTORY: + Updated 07/2026: use np.hypot to calculate the sum of two squares Updated 06/2023: append amplitude and phase titles when creating flags more tidal aliasing periods using values from Ray and Luthcke (2006) Updated 05/2023: split S2 tidal aliasing terms into GRACE and GRACE-FO eras @@ -358,16 +359,15 @@ def regress_grace_maps(LMAX, RAD, out.data[:,:,j], out.data[:,:,j+1] ) # convert phase from -180:180 to 0:360 - ii,jj = np.nonzero(ph.data < 0) - ph.data[ii,jj] += 360.0 + ph.data = np.where(ph.data < 0, ph.data + 360.0, ph.data) # Amplitude Error comp1 = out.error[:,:,j]*out.data[:,:,j]/amp.data comp2 = out.error[:,:,j+1]*out.data[:,:,j+1]/amp.data - amp.error = np.sqrt(comp1**2 + comp2**2) + amp.error = np.hypot(comp1, comp2) # Phase Error (degrees) comp1 = out.error[:,:,j]*out.data[:,:,j+1]/(amp.data**2) comp2 = out.error[:,:,j+1]*out.data[:,:,j]/(amp.data**2) - ph.error = (180.0/np.pi)*np.sqrt(comp1**2 + comp2**2) + ph.error = np.degrees(np.hypot(comp1, comp2)) # output file names for amplitude, phase and errors f2 = (FILE_PREFIX, units, LMAX, order_str, @@ -515,7 +515,8 @@ def arguments(): parser.convert_arg_line_to_args = gravtk.utilities.convert_arg_line_to_args # command line parameters parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for spatial files') parser.add_argument('--file-prefix','-P', type=str, diff --git a/scripts/remove_grace_spatial.py b/scripts/remove_grace_spatial.py index cd83d36c..0524f86f 100644 --- a/scripts/remove_grace_spatial.py +++ b/scripts/remove_grace_spatial.py @@ -115,7 +115,8 @@ def arguments(): parser.convert_arg_line_to_args = gravtk.utilities.convert_arg_line_to_args # command line parameters parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for spatial files') parser.add_argument('--file-prefix','-P', type=str, diff --git a/scripts/remove_sea_level_errors.py b/scripts/remove_sea_level_errors.py index a13968d5..b1956240 100644 --- a/scripts/remove_sea_level_errors.py +++ b/scripts/remove_sea_level_errors.py @@ -100,7 +100,8 @@ def arguments(): parser.convert_arg_line_to_args = gravtk.utilities.convert_arg_line_to_args # command line parameters parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for mascon files') # GRACE/GRACE-FO data processing center parser.add_argument('--center','-c', diff --git a/scripts/remove_sea_level_fields.py b/scripts/remove_sea_level_fields.py index b26df146..3e2e8614 100644 --- a/scripts/remove_sea_level_fields.py +++ b/scripts/remove_sea_level_fields.py @@ -125,7 +125,8 @@ def arguments(): parser.convert_arg_line_to_args = gravtk.utilities.convert_arg_line_to_args # command line parameters parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for mascon files') # GRACE/GRACE-FO data processing center parser.add_argument('--center','-c', diff --git a/scripts/run_sea_level_equation.py b/scripts/run_sea_level_equation.py index e4a0e27d..fdeb7f46 100644 --- a/scripts/run_sea_level_equation.py +++ b/scripts/run_sea_level_equation.py @@ -178,7 +178,7 @@ def run_sea_level_equation(INPUT_FILE, OUTPUT_FILE, nth,nphi = landsea.shape land_function = np.zeros((nth, nphi), dtype=np.float64) # calculate colatitude in radians - th = (90.0 - landsea.lat)*np.pi/180.0 + th = np.radians(90.0 - landsea.lat) # extract land function from file # combine land and island levels for land function indx,indy = np.nonzero((landsea.data >= 1) & (landsea.data <= 3)) diff --git a/scripts/scale_grace_maps.py b/scripts/scale_grace_maps.py index 3f29117e..03823300 100644 --- a/scripts/scale_grace_maps.py +++ b/scripts/scale_grace_maps.py @@ -478,11 +478,11 @@ def scale_grace_maps(base_dir, PROC, DREL, DSET, LMAX, RAD, grid.mask = np.zeros((nlat, nlon, nfiles),dtype=bool) # Computing plms for converting to spatial domain - phi = grid.lon[np.newaxis,:]*np.pi/180.0 - theta = (90.0-grid.lat)*np.pi/180.0 + phi = np.radians(grid.lon[np.newaxis,:]) + theta = np.radians(90.0 - grid.lat) PLM, dPLM = gravtk.plm_holmes(LMAX, np.cos(theta)) # square of legendre polynomials truncated to order MMAX - mm = np.arange(0,MMAX+1) + mm = np.arange(0, MMAX+1) PLM2 = PLM[:,mm,:]**2 # dfactor is the degree dependent coefficients @@ -675,10 +675,12 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for spatial files') parser.add_argument('--file-prefix','-P', type=str, diff --git a/scripts/sea_level_differences.py b/scripts/sea_level_differences.py index 31bd96fc..42cf0be1 100644 --- a/scripts/sea_level_differences.py +++ b/scripts/sea_level_differences.py @@ -160,7 +160,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for spatial files') # GRACE/GRACE-FO data processing center parser.add_argument('--center','-c', diff --git a/scripts/sea_level_error.py b/scripts/sea_level_error.py index 40d83bde..c2e991c7 100755 --- a/scripts/sea_level_error.py +++ b/scripts/sea_level_error.py @@ -140,7 +140,7 @@ def sea_level_error(PROC, DREL, DSET, LMAX, dlon,dlat = landsea.spacing nlat, nlon = landsea.shape # calculate Fully-Normalized Legendre Polynomials - th = (90.0 - landsea.lat)*np.pi/180.0 + th = np.radians(90.0 - landsea.lat) PLM, dPLM = gravtk.plm_holmes(LMAX, np.cos(th)) # create index file for least_squares_mascons.py @@ -255,7 +255,8 @@ def arguments(): parser.convert_arg_line_to_args = gravtk.utilities.convert_arg_line_to_args # command line parameters parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for mascon files') # GRACE/GRACE-FO data processing center parser.add_argument('--center','-c', diff --git a/scripts/sea_level_mean.py b/scripts/sea_level_mean.py index 6330df5c..0cf996c9 100644 --- a/scripts/sea_level_mean.py +++ b/scripts/sea_level_mean.py @@ -290,7 +290,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for spatial files') # GRACE/GRACE-FO data processing center parser.add_argument('--center','-c', diff --git a/scripts/sea_level_regress.py b/scripts/sea_level_regress.py index 33136b55..623b1df9 100644 --- a/scripts/sea_level_regress.py +++ b/scripts/sea_level_regress.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" sea_level_regress.py -Written by Tyler Sutterley (06/2023) +Written by Tyler Sutterley (07/2026) Reads in sea level grid files and calculates the trends at each grid point following an input regression model @@ -57,6 +57,7 @@ spatial.py: spatial data class for reading, writing and processing data UPDATE HISTORY: + Updated 07/2026: use np.hypot to calculate the sum of two squares Updated 06/2023: append amplitude and phase titles when creating flags more tidal aliasing periods using values from Ray and Luthcke (2006) Updated 05/2023: split S2 tidal aliasing terms into GRACE and GRACE-FO eras @@ -345,16 +346,17 @@ def sea_level_regress(PROC, DREL, DSET, LMAX, out.data[indy,indx,j], out.data[indy,indx,j+1] ) # convert phase from -180:180 to 0:360 - ii,jj = np.nonzero((ph.data < 0) & np.logical_not(ph.mask)) - ph.data[ii,jj] += 360.0 + ph.data = np.where( + (ph.data < 0) & np.logical_not(ph.mask), ph.data + 360.0, ph.data + ) # Amplitude Error comp1=out.error[indy,indx,j]*out.data[indy,indx,j]/amp.data[indy,indx] comp2=out.error[indy,indx,j+1]*out.data[indy,indx,j+1]/amp.data[indy,indx] - amp.error[indy,indx] = np.sqrt(comp1**2 + comp2**2) + amp.error[indy,indx] = np.hypot(comp1, comp2) # Phase Error (degrees) comp1=out.error[indy,indx,j]*out.data[indy,indx,j+1]/(amp.data[indy,indx]**2) comp2=out.error[indy,indx,j+1]*out.data[indy,indx,j]/(amp.data[indy,indx]**2) - ph.error[indy,indx] = (180.0/np.pi)*np.sqrt(comp1**2 + comp2**2) + ph.error[indy,indx] = np.degrees(np.hypot(comp1, comp2)) # output file names for amplitude and phase f2 = (ITERATION, dset_str, gia_str, ocean_str, EXPANSION, @@ -502,7 +504,8 @@ def arguments(): parser.convert_arg_line_to_args = gravtk.utilities.convert_arg_line_to_args # command line parameters parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for mascon files') # GRACE/GRACE-FO data processing center parser.add_argument('--center','-c', diff --git a/scripts/sea_level_stokes.py b/scripts/sea_level_stokes.py index 235e6be7..01c3b1b4 100755 --- a/scripts/sea_level_stokes.py +++ b/scripts/sea_level_stokes.py @@ -172,7 +172,7 @@ def sea_level_stokes(PROC, DREL, DSET, LMAX, dlon,dlat = landsea.spacing nlat, nlon = landsea.shape # calculate Fully-Normalized Legendre Polynomials - th = (90.0 - landsea.lat)*np.pi/180.0 + th = np.radians(90.0 - landsea.lat) PLM, dPLM = gravtk.plm_holmes(LMAX, np.cos(th)) # create index file for calc_mascon.py @@ -291,7 +291,8 @@ def arguments(): parser.convert_arg_line_to_args = gravtk.utilities.convert_arg_line_to_args # command line parameters parser.add_argument('--output-directory','-O', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Output directory for mascon files') # GRACE/GRACE-FO data processing center parser.add_argument('--center','-c', diff --git a/scripts/upload_to_figshare.py b/scripts/upload_to_figshare.py index 3b024bec..729ddacc 100644 --- a/scripts/upload_to_figshare.py +++ b/scripts/upload_to_figshare.py @@ -71,7 +71,8 @@ def arguments(): ) # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # figshare credentials parser.add_argument('--user','-U', diff --git a/test/land.fcn.1_deg.gz b/test/land.fcn.1_deg.gz new file mode 100755 index 00000000..fc977c42 Binary files /dev/null and b/test/land.fcn.1_deg.gz differ diff --git a/test/out.slf.green_ice.1_deg.2008.60.gz b/test/out.slf.green_ice.1_deg.2008.60.gz new file mode 100644 index 00000000..0f13a933 Binary files /dev/null and b/test/out.slf.green_ice.1_deg.2008.60.gz differ diff --git a/test/test_download_and_read.py b/test/test_download_and_read.py index eb3a311e..73529047 100644 --- a/test/test_download_and_read.py +++ b/test/test_download_and_read.py @@ -3,6 +3,7 @@ test_download_and_read.py (11/2021) Tests the read program to verify that coefficients are being extracted """ +import pytest import pathlib import posixpath import gravity_toolkit as gravtk @@ -14,13 +15,20 @@ def test_podaac_cumulus_download_and_read(username,password): mission='grace', center='CSR', release='RL06', level='L2', product='GSM', start_date='2002-04-01', end_date='2002-04-30', provider='POCLOUD', endpoint='data') - # build opener for data client access - URS = 'urs.earthdata.nasa.gov' - opener = gravtk.utilities.attempt_login(URS, - username=username, password=password, - authorization_header=False, verbose=True) - # download and read as virtual file object - FILE = gravtk.utilities.from_http(urls[0], context=None, verbose=True) + # attempt to download the GRACE file + try: + # build opener for data client access + URS = 'urs.earthdata.nasa.gov' + opener = gravtk.utilities.attempt_login(URS, + username=username, password=password, + authorization_header=False, verbose=True) + # download and read as virtual file object + FILE = gravtk.utilities.from_http(urls[0], context=None, verbose=True) + except gravtk.utilities.urllib2.HTTPError as exc: + pytest.xfail(exc.reason) + except EOFError as exc: + pytest.xfail("NASA Earthdata Login Error") + # read as virtual file object Ylms = gravtk.read_GRACE_harmonics(FILE, 60) keys = ['time', 'start', 'end', 'clm', 'slm', 'eclm', 'eslm', 'header'] test = dict(start=2452369.5, end=2452394.5) @@ -32,8 +40,13 @@ def test_podaac_cumulus_download_and_read(username,password): def test_gfz_http_download_and_read(): HOST=['https://isdc-data.gfz.de','grace','Level-2','CSR','RL06', 'GSM-2_2002095-2002120_GRAC_UTCSR_BA01_0600.gz'] - # download and read as virtual file object - FILE = gravtk.utilities.from_http(HOST,verbose=True) + # attempt to download the GRACE file + try: + # download and read as virtual file object + FILE = gravtk.utilities.from_http(HOST,verbose=True) + except gravtk.utilities.urllib2.HTTPError as exc: + pytest.xfail(exc.reason) + # read as virtual file object Ylms = gravtk.read_GRACE_harmonics(FILE, 60) keys = ['time', 'start', 'end', 'clm', 'slm', 'eclm', 'eslm', 'header'] test = dict(start=2452369.5, end=2452394.5) @@ -42,11 +55,17 @@ def test_gfz_http_download_and_read(): assert (Ylms['clm'][2,0] == -0.484169355584e-03) # PURPOSE: Download a GRACE file from GFZ and check that read program runs +@pytest.mark.skip(reason="Deprecated GFZ FTP server") def test_gfz_ftp_download_and_read(): HOST=['isdcftp.gfz-potsdam.de','grace','Level-2','CSR','RL06', 'GSM-2_2002095-2002120_GRAC_UTCSR_BA01_0600.gz'] - # download and read as virtual file object - FILE = gravtk.utilities.from_ftp(HOST,verbose=True) + # attempt to download the GRACE file + try: + # download and read as virtual file object + FILE = gravtk.utilities.from_ftp(HOST, verbose=True) + except gravtk.utilities.urllib2.HTTPError as exc: + pytest.xfail(exc.reason) + # read as virtual file object Ylms = gravtk.read_GRACE_harmonics(FILE, 60) keys = ['time', 'start', 'end', 'clm', 'slm', 'eclm', 'eslm', 'header'] test = dict(start=2452369.5, end=2452394.5) @@ -58,7 +77,12 @@ def test_gfz_ftp_download_and_read(): def test_gfz_icgem_costg_download_and_read(): HOST=['https://icgem.gfz.de','getseries','02_COST-G_', 'Grace-FO_RL02','GSM-2_2018152-2018181_GRFO_COSTG_BF01_0200.gfc'] - FILE = gravtk.utilities.from_http(HOST,verbose=True) + # attempt to download the GRACE file + try: + # download and read as virtual file object + FILE = gravtk.utilities.from_http(HOST,verbose=True) + except gravtk.utilities.urllib2.HTTPError as exc: + pytest.xfail(exc.reason) # read as virtual file object Ylms = gravtk.read_GRACE_harmonics(FILE, 60) keys = ['time', 'start', 'end', 'clm', 'slm', 'eclm', 'eslm', 'header'] @@ -74,10 +98,15 @@ def test_esa_swarm_download_and_read(): swarm_file='SW_OPER_EGF_SHA_2__20131201T000000_20131231T235959_0101.ZIP' parameters = gravtk.utilities.urlencode({'file': posixpath.join('swarm','Level2longterm','EGF',swarm_file)}) - remote_file = [HOST,'?do=download&{0}'.format(parameters)] - # download and read as virtual file object - gravtk.utilities.from_http(remote_file, - local=swarm_file,verbose=True) + remote_file = [HOST,'?do=download&{0}'.format(parameters)] + # attempt to download the Swarm file + try: + # download as local file object + gravtk.utilities.from_http(remote_file, + local=swarm_file, verbose=True) + except gravtk.utilities.urllib2.HTTPError as exc: + pytest.xfail(exc.reason) + # read the local file swarm_file = pathlib.Path(swarm_file).absolute() Ylms = gravtk.read_gfc_harmonics(swarm_file) keys = ['time', 'start', 'end', 'clm', 'slm', 'eclm', 'eslm'] @@ -90,11 +119,16 @@ def test_esa_swarm_download_and_read(): # PURPOSE: Download a GRACE ITSG GRAZ file and check that read program runs def test_itsg_graz_download_and_read(): - HOST=['http://ftp.tugraz.at','outgoing','ITSG','GRACE', + HOST=['http://ftp.tugraz.at','pub','ITSG','GRACE', 'ITSG-Grace_operational','monthly','monthly_n60', 'ITSG-Grace_operational_n60_2018-06.gfc'] - # download and read as virtual file object - gravtk.utilities.from_http(HOST, local=HOST[-1], verbose=True) + # attempt to download the GRAZ file + try: + # download as local file object + gravtk.utilities.from_http(HOST, local=HOST[-1], verbose=True) + except gravtk.utilities.urllib2.HTTPError as exc: + pytest.xfail(exc.reason) + # read the local file itsg_file = pathlib.Path(HOST[-1]).absolute() Ylms = gravtk.read_gfc_harmonics(itsg_file) keys = ['time', 'start', 'end', 'clm', 'slm', 'eclm', 'eslm'] diff --git a/test/test_harmonics.py b/test/test_harmonics.py index 62c931b1..34de7e0d 100755 --- a/test/test_harmonics.py +++ b/test/test_harmonics.py @@ -39,7 +39,7 @@ def test_harmonics(): RAD = 250.0 # calculate colatitudes of input distribution - theta = (90.0 - input_distribution.lat)*np.pi/180.0 + theta = np.radians(90.0 - input_distribution.lat) # use fortran thresholds for colatitude bounds theta[theta > np.arccos(-0.9999999)] = np.arccos(-0.9999999) theta[theta < np.arccos(0.9999999)] = np.arccos(0.9999999) @@ -68,13 +68,14 @@ def test_harmonics(): dfactor = gravtk.units(lmax=LMAX).harmonic(*LOVE) wt = 2.0*np.pi*gravtk.gauss_weights(RAD,LMAX) smooth_Ylms.convolve(dfactor.cmwe*wt) + transform_Ylms = smooth_Ylms.copy() # convert harmonics back to spatial domain at same grid spacing test_distribution = gravtk.harmonic_summation(smooth_Ylms.clm, smooth_Ylms.slm, input_distribution.lon, input_distribution.lat, LMAX=LMAX, PLM=PLM).T # convert harmonics using fast-fourier transform method - test_transform = gravtk.harmonic_transform(smooth_Ylms.clm, - smooth_Ylms.slm, input_distribution.lon, input_distribution.lat, + test_transform = gravtk.harmonic_transform(transform_Ylms.clm, + transform_Ylms.slm, input_distribution.lon, input_distribution.lat, LMAX=LMAX, PLM=PLM).T # convert harmonics back to spatial domain using wrapper function test_combine = gravtk.stokes_summation(test_Ylms.clm, diff --git a/test/test_masks.py b/test/test_masks.py index 70c1f923..d04cb873 100644 --- a/test/test_masks.py +++ b/test/test_masks.py @@ -25,10 +25,10 @@ def test_lsmask(LANDMASK): nlat, nlon = landsea.shape # colatitude in radians gridlon, gridlat = np.meshgrid(landsea.lon, landsea.lat) - th = (90.0 - gridlat)*np.pi/180.0 + th = np.radians(90.0 - gridlat) # grid spacing in radians - dphi = np.pi*np.abs(dlon)/180.0 - dth = np.pi*np.abs(dlat)/180.0 + dphi = np.radians(np.abs(dlon)) + dth = np.radians(np.abs(dlat)) # create land function land_function = np.zeros((nlat, nlon), dtype=np.float64) # combine land and island levels for land function diff --git a/test/test_sea_level.py b/test/test_sea_level.py new file mode 100644 index 00000000..ebe093ad --- /dev/null +++ b/test/test_sea_level.py @@ -0,0 +1,75 @@ +#!/usr/bin/env python +u""" +test_sea_level.py (07/2026) +""" +import inspect +import pathlib +import numpy as np +import gravity_toolkit as gravtk + +# path to test files +filename = inspect.getframeinfo(inspect.currentframe()).filename +filepath = pathlib.Path(filename).absolute().parent + +# PURPOSE: test sea level equation programs +def test_sea_level(): + # path to load Love numbers file + love_numbers_file = gravtk.utilities.get_data_path( + ['data','love_numbers']) + # read load Love numbers + LOVE = gravtk.read_love_numbers(love_numbers_file, FORMAT='class') + + # read land function file + LANDMASK = filepath.joinpath('land.fcn.1_deg.gz') + landsea = gravtk.spatial().from_ascii(LANDMASK, + date=False, spacing=[1.0, 1.0], nlat=180, nlon=360, + extent=[0.5,359.5,-89.5,89.5], compression='gzip') + + # spherical harmonic parameters + # maximum spherical harmonic degree + LMAX = 60 + # read harmonics from file + harmonics_file = filepath.joinpath('out.geoid.green_ice.0.5.2008.60.gz') + Ylms = gravtk.harmonics(lmax=LMAX, mmax=LMAX).from_ascii( + harmonics_file, date=False, compression='gzip') + # calculate the legendre functions using Martin Mohlenkamp's relation + th = np.radians(90.0 - landsea.lat) + PLM, dPLM = gravtk.plm_mohlenkamp(LMAX, np.cos(th)) + + # run pseudo-spectral sea level equation solver + sea_level = gravtk.sea_level_equation(Ylms.clm, Ylms.slm, + landsea.lon, landsea.lat, landsea.data.T, LMAX=LMAX, + LOVE=LOVE, BODY_TIDE_LOVE=0, + FLUID_LOVE=0, DENSITY=1.0, POLAR=True, + PLM=PLM, ITERATIONS=2, FILL_VALUE=np.nan).T + + # check that sea level data is equal to file precision + valid_file = filepath.joinpath('out.slf.green_ice.1_deg.2008.60.gz') + validation = gravtk.spatial().from_ascii(valid_file, + date=False, spacing=[1.0, 1.0], nlat=180, nlon=360, + extent=[0.5,359.5,-89.5,89.5], compression='gzip') + # check differences + difference = validation.data - sea_level + valid_difference = difference[np.isfinite(difference)] + assert np.all(np.abs(valid_difference) < 1e-8) + +def test_harmonics(): + # read land function file + LANDMASK = filepath.joinpath('land.fcn.1_deg.gz') + landsea = gravtk.spatial().from_ascii(LANDMASK, + date=False, spacing=[1.0, 1.0], nlat=180, nlon=360, + extent=[0.5,359.5,-89.5,89.5], compression='gzip') + # calculate ocean function from land function + land_function = landsea.data.T + ocean_function = 1.0 - land_function + # maximum spherical harmonic degree + LMAX = 60 + # calculate spherical harmonics using integration and fourier methods + YlmI = gravtk.gen_harmonics(ocean_function, landsea.lon, landsea.lat, + LMAX=LMAX, METHOD="integration") + YlmF = gravtk.gen_harmonics(ocean_function, landsea.lon, landsea.lat, + LMAX=LMAX, METHOD="fourier") + # check that amplitudes of harmonic data are nearly equal + difference = YlmI.amplitude - YlmF.amplitude + harmonic_eps = np.finfo(np.float16).eps + assert np.all(np.abs(difference) < harmonic_eps) diff --git a/utilities/make_grace_index.py b/utilities/make_grace_index.py index 00aae0d2..d4d2ecac 100644 --- a/utilities/make_grace_index.py +++ b/utilities/make_grace_index.py @@ -96,7 +96,8 @@ def arguments(): # command line parameters # # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # GRACE/GRACE-FO processing center parser.add_argument('--center','-c', diff --git a/utilities/nominal_grace_date.py b/utilities/nominal_grace_date.py index 03c773f0..73746842 100755 --- a/utilities/nominal_grace_date.py +++ b/utilities/nominal_grace_date.py @@ -94,7 +94,8 @@ def arguments(): ) # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # GRACE/GRACE-FO data release parser.add_argument('--release','-r', diff --git a/utilities/quick_mascon_regress.py b/utilities/quick_mascon_regress.py index 2fcad343..77524d39 100755 --- a/utilities/quick_mascon_regress.py +++ b/utilities/quick_mascon_regress.py @@ -1,7 +1,7 @@ #!/usr/bin/env python u""" quick_mascon_regress.py -Written by Tyler Sutterley (06/2023) +Written by Tyler Sutterley (07/2026) Creates a regression summary file for a mascon time series file COMMAND LINE OPTIONS: @@ -22,6 +22,7 @@ time_series.amplitude.py: calculates the amplitude and phase of a harmonic UPDATE HISTORY: + Updated 07/2026: use np.hypot to calculate the sum of two squares Updated 06/2023: can choose different tidal aliasing periods Updated 05/2023: split S2 tidal aliasing terms into GRACE and GRACE-FO eras allow fit to be piecewise using a known breakpoint GRACE/GRACE-FO month @@ -185,11 +186,11 @@ def run_regress(input_file, # Amplitude Errors comp1 = fit[err][j]*fit['beta'][j]/amp['beta'][i] comp2 = fit[err][j+1]*fit['beta'][j+1]/amp['beta'][i] - amp[err][i] = np.sqrt(comp1**2 + comp2**2) + amp[err][i] = np.hypot(comp1, comp2) # Phase Error (degrees) comp1 = fit[err][j]*fit['beta'][j+1]/(amp['beta'][i]**2) comp2 = fit[err][j+1]*fit['beta'][j]/(amp['beta'][i]**2) - ph[err][i] = (180.0/np.pi)*np.sqrt(comp1**2 + comp2**2) + ph[err][i] = np.degrees(np.hypot(comp1, comp2)) # Amplitude, Error and Statistical Significance args = ('Ampl.','Estimate','Std. Error','95% Conf.','Units') diff --git a/utilities/run_grace_date.py b/utilities/run_grace_date.py index 0a0fb12f..7945dfb4 100755 --- a/utilities/run_grace_date.py +++ b/utilities/run_grace_date.py @@ -126,7 +126,8 @@ def arguments(): # command line parameters # working data directory parser.add_argument('--directory','-D', - type=pathlib.Path, default=pathlib.Path.cwd(), + type=pathlib.Path, + default=gravtk.utilities.get_cache_path(ensure_exists=False), help='Working data directory') # Data processing center or satellite mission parser.add_argument('--center','-c',