The following regions, used in the scientific literature, are available in regionmask:
- Giorgi Regions (from Giorgi and Franciso, 2000)
- SREX Regions (Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation (SREX) from Seneviratne et al., 2012)
- AR6 Regions (Iturbide et al., 2020; ESSD)
- PRUDENCE Regions (from European Regional Climate Modelling PRUDENCE Project, Christensen and Christensen, 2007)
python
import matplotlib as mpl
# cut border when saving (for maps) mpl.rcParams["savefig.bbox"] = "tight" # better quality figures (mostly for PRUDENCE) plt.rcParams['savefig.dpi'] = 300
The following imports are necessary for the examples.
python
import regionmask
import cartopy.crs as ccrs
The Giorgi reference regions, rectangular regions proposed in Giorgi and Francisco, 2000 were used in the third and fourth assessment reports of the Intergovernmental Panel on Climate Change (IPCC).
python
regionmask.defined_regions.giorgi
python
@savefig plotting_giorgi.png width=100% regionmask.defined_regions.giorgi.plot(label='abbrev');
The Giorgi regions were modified using more flexible polygons in the IPCC Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Adaptation (SREX; Seneviratne et al., 2012). A slightly modified and extended version of the SREX regions (not included in regionmask) was used for the fifth IPCC assessment report.
python
regionmask.defined_regions.srex
python
@savefig plotting_srex.png width=100% regionmask.defined_regions.srex.plot();
The sixth IPCC assessment report (AR6) again updated the SREX regions in Iturbide et al., (2020), which defines 58 regions. The regions cover the land and ocean (ar6.all). In addition the regions are also divided into land (ar6.land) and ocean (ar6.ocean) categories. The numbering is kept consistent between the categories. Note that some regions are in the land and in the ocean categories (e.g. the Mediterranean).
python
regionmask.defined_regions.ar6.all
python
text_kws = dict(color="#67000d", fontsize=7, bbox=dict(pad=0.2, color="w"))
@savefig plotting_ar6_all.png width=100% regionmask.defined_regions.ar6.all.plot( text_kws=text_kws, label_multipolygon="all" );
python
regionmask.defined_regions.ar6.land
python
@savefig plotting_ar6_land.png width=100% regionmask.defined_regions.ar6.land.plot(text_kws=text_kws, add_ocean=True);
python
regionmask.defined_regions.ar6.ocean
python
@savefig plotting_ar6_ocean.png width=100% regionmask.defined_regions.ar6.ocean.plot( text_kws=text_kws, add_land=True, label_multipolygon="all" )
The PRUDENCE regions were defined in the PRUDENCE project as European sub-areas for regional climate model output and are often used in European climate studies. They contain 8 regions, Alps (AL), British Isles (BI), Eastern Europe (EA), France (FR), Iberian Peninsula (IP), Mediterranean (MD), Mid-Europe (ME), and Scandinavia (SC).
Warning
The region FR and ME overlap, hence it is not possible to create 2D masks use prudence.mask_3D(lon, lat).
python
regionmask.defined_regions.prudence
python
# choose a good projection for regional maps proj = ccrs.LambertConformal(central_longitude=10)
@savefig plotting_prudence.png width=100% regionmask.defined_regions.prudence.plot(projection=proj, resolution="50m");