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Full catalog/clms_sce_global_1km_daily_v1
clms_sce_global_1km_daily_v1·dataset

Share of ground under snow worldwide each day, from Copernicus satellites (~1 km detail)

CLMS SCE Global 1km daily V1
cryosphere ESA ESA Copernicus active COGNetCDF
In plain English

What it measures. Shows the fraction of each roughly 1-kilometre pixel covered by snow worldwide, from 0 to 100 percent, including snow beneath forests.

How it's made. ESA Copernicus produces it daily in near real time using the SLSTR sensors on the Sentinel-3A and Sentinel-3B satellites together with the US NOAA-20 satellite.

How & where you'd use it. Useful for global snow monitoring, climate tracking, and feeding hydrological models that estimate seasonal water availability.

What's measured

CopernicusCLMSSCESnow Cover Extentcryosphereglobaldaily1kmSentinel-3ASentinel-3BSLSTRNOAA-20VIIRS

Coverage & cadence

  • Time span2025-12-01 → ongoing
  • Spatial extent-180, -90, 180, 90
  • FormatsCOG, NetCDF

What you can do with it

  • Measure sea ice, snow cover and glaciers
  • Watch ice-sheet elevation change
  • Track freeze/thaw and permafrost
Official description

Provides daily global maps of the fraction of snow cover on the ground (also in forested areas) per pixel in percentage (0% to 100%). The data is available in near real time with a pixel spacing of about 1 km.

Get the data

copernicus_access.py
# ESA Copernicus Data Space — open STAC API (free account)
from pystac_client import Client

cat = Client.open("https://stac.dataspace.copernicus.eu/v1")
search = cat.search(
    collections=["clms_sce_global_1km_daily_v1"],   # add _cog or _nc for a format variant
    bbox=(-10, 35, 30, 60),             # your area (W,S,E,N)
    datetime="2024-01-01/2024-12-31",
)
items = list(search.items())            # then read assets with rioxarray / xarray
Browsing the Copernicus STAC is open; downloading bytes needs a free Copernicus Data Space account.