Global Seasonal Snow Classification System
106.ARCSS045
The data file defines a global seasonal snow classification system. Based on the physical properties of the snow (depth, density, thermal conductivity, number of layers, degree of wetting, etc.), the world's seasonal snow covers were divided into six classes, plus classes for water and ice fields. Each class was defined by its physical properties, then empirically related to climate using three variables (precipitation, wind, and air temperature). A vegetation proxy was used for wind data: tall vegetation equals low wind, short vegetation equals high wind. The snow classification data are formatted into an array of integers, each value representing a 0.5-degree latitude by 0.5-degree longitude cell. The data set was developed and tested for the Northern Hemisphere. Results for the Southern Hemisphere are untested and have not been evaluated. The Southern Hemisphere suffers from a reduced density of meteorological data which may well have influenced the quality of the snow classification in that area. Also note that much of Antarctica is inappropriately defined as water (the vegetation data set did not extend that far south). A 0.5- x 0.5-degree land-sea mask could be used to set the Antarctica region to the ice classification if this region is of interest. National Snow and Ice Data Center (NSIDC) has created a land/ocean mask from the original (updated) Global Ecosystem map (see Related links) used in the derivation of the snow classification. The mask may be used to set the land mass of Antarctica to ice, as described above, altering the data set as submitted.
dataset
https://data.eol.ucar.edu//dataset/106.ARCSS045
protocol: https
name: Global Seasonal Snow Classification System homepage
description: Dataset homepage
106.ARCSS045
climatologyMeteorologyAtmosphere
dataset
revision
2014-10-16
Models/Analyses
Models/Analyses
Snow and Land Ice
Arctic
EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SNOW/ICE > SNOW COVER
revision
2018-02-27
-180.00000
180.00000
90.00000
-90.00000
1993-07-19T00:00:00Z
1993-08-16T23:59:59Z
publication
2009-04-29T15:01:34Z
none
none
EOL Data Support
UCAR/NCAR - Earth Observing Laboratory
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80307-3000
name: homepage
pointOfContact
US Army
Cold Regions Research and Engineering Laboratory PO Box 35170
Ft Wainwright
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(970) 353-5183
pointOfContact
EOL Data Support
UCAR/NCAR - Earth Observing Laboratory
PO Box 3000
Boulder
80307-3000
name: homepage
pointOfContact
2024-02-07T22:48:26Z