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Full catalog/clms_lswt-offline_global_1km_10daily_v1
clms_lswt-offline_global_1km_10daily_v1·dataset

Lake surface temperature archive, 2002-2012 (Copernicus)

CLMS LSWT Offline Global 1km 10-daily V1
hydrosphere ESA ESA Copernicus COGNetCDF
In plain English

What it measures. A ten-day record of the temperature at the surface of lakes worldwide, covering the decade from 2002 to 2012.

How it's made. Derived by ESA Copernicus from the AATSR instrument aboard the older Envisat satellite, at roughly 1-kilometer resolution.

How & where you'd use it. Provides a historical baseline for lake temperatures, letting scientists compare today's conditions against the early 2000s and study long-term warming of inland waters.

What's measured

CopernicusCLMSLSWTLake Surface Water Temperatureinland waterglobal10-daily1kmENVISATAATSR

Coverage & cadence

  • Time span2002-05-11 → 2012-04-10
  • Spatial extent-180, -90, 180, 90
  • FormatsCOG, NetCDF

What you can do with it

  • Follow rainfall, floods and surface-water extent
  • Track soil moisture and the onset of drought
  • Monitor lakes, rivers and groundwater storage
Official description

Provides the temperature of the water at the lake surface. The LSWT observations (every 10 days) are available at global scale at spatial resolution of approximately 1 km and with the temporal extent from 2002 to 2012, derived from AATSR instrument on Envisat.

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_lswt-offline_global_1km_10daily_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.