Full catalog/clms_lst_global_3km_hourly_v3
clms_lst_global_3km_hourly_v3·dataset

Hourly ground-surface temperature worldwide (Copernicus)

CLMS LST Global 3km hourly V3
land ESA ESA Copernicus active COGNetCDF
In plain English

What it measures. Gives the temperature of the land surface itself (not the air above it) every hour of the day, for pixels across the globe.

How it's made. Produced by ESA Copernicus from geostationary weather-satellite thermal observations at roughly 3-kilometer resolution, from January 2018 to the present.

How & where you'd use it. Feeds weather and climate models, urban heat studies, fire-risk and drought monitoring, and any work needing frequent updates on how hot the ground gets.

What's measured

CopernicusCLMSLSTLand Surface Temperaturethermal infraredglobalhourly3km

Coverage & cadence

  • Time span2018-01-01 → ongoing
  • Spatial extent-179.9999999, -79.97868240000001, 179.9999999, 80.0233214
  • FormatsCOG, NetCDF

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

Provides hourly land surface temperature from geostationary sensors observations. The data are available at global scale in the spatial resolution of about 3 km and cover the period from January 2018 to the present.

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_lst_global_3km_hourly_v3"],   # 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.