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Full catalog/climdex-tmaxxf-access-cm2-ssp370
climdex-tmaxxf-access-cm2-ssp370·dataset

Future Hottest-Day Temperatures: High-Emissions Scenario

CLIMDEX ACCESS CM2 SSP370 tmaxXF
land NASA VEDA COG
In plain English

What it measures. Projects the yearly maximum daily temperature (in Fahrenheit) under a high future greenhouse-gas pathway, showing how hot the hottest days could get.

How it's made. Drawn from the ACCESS-CM2 global climate model run under the SSP3-7.0 high-emissions scenario, part of the CLIMDEX climate-extremes project.

How & where you'd use it. Helps communities prepare for severe future heat extremes under a high-emissions trajectory.

What's measured

climdextmaxxfaccesscm2ssp370

Coverage & cadence

  • Time span2015-01-01 → 2101-12-31
  • Spatial extent-180, -90, 180, 90
  • FormatsCOG

What you can do with it

  • Track deforestation, fire scars and land-cover change
  • Monitor crop and vegetation health (NDVI/EVI)
  • Map how built-up vs. green an area is over time
Official description

CLIMDEX ACCESS CM2 SSP370 - variable tmaxXF

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("climdex-tmaxxf-access-cm2-ssp370")
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).