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Full catalog/CMIP245-winter-median-pr
CMIP245-winter-median-pr·dataset

Projected Winter Rainfall Changes: Moderate-Emissions Scenario

Projected changes to winter (January, February, and March) cumulative daily precipitation
atmosphere NASA VEDA COG
In plain English

What it measures. Shows how much winter (January–March) rainfall and snowfall is projected to change compared with the 1995–2014 baseline, across future 20-year periods.

How it's made. Built from an ensemble of CMIP6 climate models under the moderate SSP2-4.5 scenario, fine-tuned to local scale by NASA's NEX-GDDP downscaling.

How & where you'd use it. Helps water managers and planners anticipate wetter or drier winters under moderate emissions.

What's measured

CMIP245wintermedian

Coverage & cadence

  • Time span2025-01-01 → 2085-03-31
  • Spatial extent-126, 30, -104, 51
  • FormatsCOG

What you can do with it

  • Map air pollutants — NO₂, aerosols, ozone
  • Track greenhouse gases and Earth's energy budget
  • Feed weather and air-quality analysis
Official description

Differences in winter (January, February, and March) cumulative daily precipitation between a historical period (1995 - 2014) and multiple 20-year periods from an ensemble of CMIP6 climate projections (SSP2-4.5) 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("CMIP245-winter-median-pr")
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).