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Climate & Weather Data

WorldClim v2.1

WorldClim v2.1 is a free global climate dataset at ~1km resolution providing temperature, precipitation, solar radiation, wind speed, and 19 bioclimatic variables — the standard input for ecological and species distribution modeling.

Format GeoTIFF / ASCII
Coverage Global
Resolution 30 arc-seconds (~1km) to 10 arc-minutes
License Free open access (CC BY 4.0)
Update Versioned releases
Download source Open official source

Format

GeoTIFF / ASCII

Geometry

Raster (climate grid)

Coverage

Global

Resolution

30 arc-seconds (~1km) to 10 arc-minutes

About this dataset

Global climate rasters at 30 arc-second resolution including temperature, precipitation, and 19 bioclimatic variables.

WorldClim v2.1 provides global climate surfaces for average monthly climate data at four spatial resolutions from 30 arc-seconds (~1km) to 10 arc-minutes (~340km). It includes minimum, mean, and maximum temperature, precipitation, and 19 bioclimatic variables derived from weather station records interpolated using thin-plate splines.

Species distribution modeling Climate change analysis Ecological research

How to download

  1. 1 Open the WorldClim v2.1 download page.
  2. 2 Choose the variable type (temperature, precipitation, bioclim, solar radiation, wind speed).
  3. 3 Select the spatial resolution (30s, 2.5m, 5m, or 10m arc-minutes).
  4. 4 Download the GeoTIFF tiles and inspect in GeoDataViewer or QGIS.

WorldClim v2.1 download page

Select variable and resolution

→

Historical climate data

Paleo and historical climate layers

→

FAQ

What are the 19 bioclimatic variables in WorldClim?

The 19 bioclimatic variables (BIO1-BIO19) are derived from temperature and precipitation values, including annual mean temperature, max temperature of warmest month, min temperature of coldest month, annual precipitation, precipitation of wettest/driest quarter, and more.

What time period does WorldClim v2.1 represent?

WorldClim v2.1 represents average climate conditions for the 1970–2000 period, interpolated from weather station records.