Python script to generate a NetCDF mask for IPCC SREX regions (Seneviratne et al. 2012).

Credits to regionmask doing most of the heavy lifting.

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Region ID	Abbreviation	Longname
1	ALA	Alaska/N.W. Canada
2	CGI	Canada/Greenl./Icel.
3	WNA	W. North America
4	CNA	C. North America
5	ENA	E. North America
6	CAM	Central America/Mexico
7	AMZ	Amazon
8	NEB	N.E. Brazil
9	WSA	Coast South America
10	SSA	S.E. South America
11	NEU	N. Europe
12	CEU	C. Europe
13	MED	S. Europe/Mediterranean
14	SAH	Sahara
15	WAF	W. Africa
16	EAF	E. Africa
17	SAF	S. Africa
18	NAS	N. Asia
19	WAS	W. Asia
20	CAS	C. Asia
21	TIB	Tibetan Plateau
22	EAS	E. Asia
23	SAS	S. Asia
24	SEA	S.E. Asia
25	NAU	N. Australia
26	SAU	S. Australia/New Zealand

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Customize resolution (in createSREXnetCDF.py):

## define resolution in degree, e.g. 1.875°
lon_res = 1.875
lat_res = 1.875

Dependencies:

• Xarray
• NumPy
• regionmask