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Full catalog/snow-projections-diff-245
snow-projections-diff-245·dataset

Future Snowpack Losses Under Moderate Warming

Projections of Snow Water Equivalent (SWE) Losses - SSP2-4.5
cryosphere NASA VEDA COG
In plain English

What it measures. Shows the projected percent change in snowpack (the water stored in snow) compared to the 1995-2014 baseline, under a moderate greenhouse-gas scenario. It maps where mountain snow is expected to shrink.

How it's made. Made from NASA computer simulations driven by downscaled CMIP6 climate-model projections (the SSP2-4.5 scenario).

How & where you'd use it. Helps water managers and communities plan for shrinking snow-fed water supplies.

What's measured

snowprojectionsdiff245

Coverage & cadence

  • Time span2017-04-01 → 2077-05-01
  • Spatial extent-121.215, 36.665, -105.405, 49.065
  • FormatsCOG

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

Percent-change to future SWE, relative to the historical period (1995 - 2014), simulated using the LIS framework and CMIP6 climate projections (SSP2-4.5 scenario) downscaled by NASA Earth Exchange (NEX-GDDP-CMIP6)

Get the data

veda_access.py
# NASA VEDA — open STAC API, anonymous (cloud-optimized GeoTIFFs)
from pystac_client import Client

cat = Client.open("https://openveda.cloud/api/stac")
col = cat.get_collection("snow-projections-diff-245")
items = list(col.get_items())          # browse the analysis-ready COGs
# open an asset with rioxarray:
# import rioxarray; da = rioxarray.open_rasterio(items[0].assets["cog_default"].href)
NASA VEDA is an open STAC catalog — browse and stream the cloud-optimized GeoTIFFs anonymously (no login).