Skip to contents

The CHELSA data (Karger et al. 2017) consists of downscaled model output temperature and precipitation estimates at a horizontal resolution of 30 arc sec. The precipitation algorithm incorporates orographic predictors including wind fields, valley exposition, and boundary layer height, with a subsequent bias correction. The spatial resolution is about 1-arc second (~1km at the equator). This resource makes V2 available.

Usage

get_chelsa(years = 1979:2019)

Arguments

years

A numeric vector of the years to make CHELSA monthly precipitation layers available for. Must be greater 1979, defaults to c(1979:2019).

Value

A function that returns an sf footprint object.

References

Karger, D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, H.P. & Kessler, M. (2021) Climatologies at high resolution for the earth’s land surface areas. EnviDat. doi:10.16904/envidat.228.v2.1

Karger, D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, P., Kessler, M. (2017): Climatologies at high resolution for the Earth land surface areas. Scientific Data. 4 170122. doi:10.1038/sdata.2017.122