Hybrid_om

Framework for hybrid ocean modeling experiments with a physics-controlled ESN. The code here includes configurations for the Kuramoto-Sivashinsky (KS) equation and the quasi-geostrophic (QG) equations, with initial and boundary conditions as described in the paper "Symbiotic Ocean Modeling using Physics-Controlled Echo State Networks" (Mulder et.al., 2023). KS is implemented here and for QG we rely on the C++ code in BIMAU/qg. Our ESN is implemented in erik808/ESN.

Dependencies

• QG (matlab/c++ implementation) https://github.com/BIMAU/qg
• ESN: https://github.com/erik808/ESN

Usage notes:

• The code will require some adjustments before it will work somewhere else (some paths are still hardcoded). Most importantly the base_dir in DataGen needs adjusting.

Executables

• matlab/KS_GridExp Subgrid scale modeling with the KS equation.
• matlab/KS_Path2018 An experiment with KS reproducing the results in Pathak et.al., 2018.
• matlab/QG_GridExp Subgrid scale modeling with the QG equations.
• matlab/QG_transient Long-term transient computations with variants of a corrected imperfect QG.

Parallel execution

• set job settings in submit_mpi_experiment.sh
• ./compile_and_submit <executable> <run_dir>