Do you mean the NSIDC regions?
-> ftp://ftp.awi.de/sea_ice/auxiliary/mask/regions_nsidc/region_mask_nsidc_adapted_v1p0.nc
But these are EASE2 though.
Thanks Stefan (and Wipneus),
I'll take a look at those when I have a spare 5 minutes in amongst all the UK #CoronavirusShambles
Far too technical for me but....
Or do you mean this mask?
Arctic_region_mask_Meier_AnnGlaciol2007.msk
The Arctic Sea Ice Index regions are defined using the mask file,
Arctic_region_mask_Meier_AnnGlaciol2007.msk, created by Meier et al. (2007). Figure 1 provides a
visual representation of the regions defined by the mask file.
The mask file is a 1 byte, unsigned integer headerless binary file with 304 columns x 448 rows. The
values in the mask are the following:
0 - Lake (which are not considered part of the sea ice-covered region even if they are ice-covered)
1 - Ocean (outside of the defined regions)
2 - Okhotsk
3 - Bering
4 - Hudson
5 - St Lawrence
6 - Baffin
7 - Greenland
8 - Barents
9 - Kara
10 - Laptev
11 - East Siberian
12 - Chukchi
13 - Beaufort
14 - Canadian Archipelago
15 - Central Arctic
20 - Land
21 - Coast
The file can be read using Python with NumPy with the following lines of code:
import numpy as np
regional_mask = np.fromfile(‘./Arctic_region_mask_Meier_AnnGlaciol2007‐
1.msk’,dtype=np.uint8).reshape((448, 304))
Note that this mask file does not contain latitude and longitudes of the regioins, however, the mask file
is based on NSIDC Polar Stereographic projection. Therefor, the lat/lon polygons could be constructed
by using the psn25lats_v3.dat and psn25lons_v3.dat geolocation files available from the Polar
Stereographic Data: Geocoordinate and Pixel-Area Tools page.