Global Seasonal Snow Classification With Four Spatial Resolutions

Global Seasonal-Snow Classification, Version 1 maps global snow into categories like tundra, boreal forest, maritime, ephemeral, prairie, montane forest, and ice. The dataset is derived from climatologies of air temperature, precipitation, and wind speed. It is provided by the NSIDCV0 organization and was last updated in March 2026.

Use Cases

• Validating regional climate models by comparing simulated snow classes against the tundra, boreal forest, or maritime classifications.
• Assessing snow hydrology and water resource potential using the ephemeral and prairie snow class layers.
• Studying snow-vegetation interactions in montane forest and ice-dominated regions.
• Downscaling global climate projections using the dataset's four available grid resolutions (from ~300m to ~50km).

Strengths

• Provides four specific spatial resolutions: 10 arcsec (~300 m), 30 arcsec (~1 km), 2.5 arcmin (~5 km), and 0.5° (~50 km).
• Covers three distinct geographic domains: global, North America, and Eurasia.
• Classifies snow into seven specific seasonal types (e.g., tundra, maritime, ephemeral).

Limitations

• Column names and exact row/size counts are not provided by any source.
• Sources conflict on the last updated date, reporting both 2019-12-31 and 2026-03-13.
• The specific license terms under 'other-license-specified' are not detailed.

Provenance

Source

NSIDCV0

Collection Method

Classifications determined from air temperature, precipitation, and wind speed climatologies.

Time Range

Based on climatologies; specific temporal range not provided.

Freshness

2026-03-13 01:50:14.577402

Geography

Global, with separate grids for North America and Eurasia.