CHELSA

Climate datasets used to study environmental and geographic phenomena

Climate Analysis

Analyze climate patterns, weather trends, and atmospheric conditions for research, risk assessment, and long-term planning.

Agriculture & Land Use

Monitor crop health, soil conditions, and land use changes for precision agriculture and sustainable land management.

Biodiversity & Conservation

Monitor species habitats, protected areas, and ecosystem changes to support conservation and biodiversity management.

CHELSA

CHELSA (Climatologies at High resolution for the Earth's Land Surface Areas) is one of the most widely used climate datasets in ecology, biogeography, and environmental modeling.

Developed at the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), it provides global temperature and precipitation climatologies derived from ERA reanalysis data with mechanistic downscaling that accounts for how terrain shapes local climate. This makes CHELSA a strong choice for any spatial analysis where topography matters — species distribution modeling in mountain ranges, agricultural suitability assessments in varied terrain, or climate risk mapping across regions with complex elevation gradients.

CHELSA's 19 bioclimatic variables are a standard input for habitat and ecological niche models, and the availability of matching CMIP6 projections means you can run the same models against future climate scenarios without switching datasets or resolution.

All layers are distributed as GeoTIFFs, so they load directly into any raster-capable GIS platform, including Atlas. For researchers and analysts working at landscape to continental scales, CHELSA provides a consistent, high-resolution climate baseline that pairs well with land cover, soil, and biodiversity layers.

Frequently Asked Questions

Climatologies at High resolution for the Earth's Land Surface Areas — a high-resolution (1 km) global climate dataset providing temperature and precipitation climatologies based on statistical downscaling of global reanalysis data.

30 arc-seconds (~1 km) globally, matching WorldClim's finest resolution. CHELSA uses different downscaling methods that better account for orographic effects on precipitation.

Yes. All CHELSA datasets are freely available for download in GeoTIFF format from chelsa-climate.org.

Both provide 1 km climate grids, but CHELSA uses mechanistic downscaling for precipitation (accounting for wind and orographic effects), while WorldClim uses statistical interpolation. CHELSA often performs better in mountainous regions.

Yes. CHELSA provides downscaled CMIP6 climate projections for multiple scenarios (SSP1-2.6 through SSP5-8.5) at the same 1 km resolution as the baseline climatology.

Details

CoverageGlobal
Layer TypeRaster
Update FrequencyStatic
Categories
Remote Sensing
Visit sourceUse data in Atlas