chelsa: Climatologies at High resolution for the Earth Land Surface...

In mapme-initiative/mapme.biodiversity: Efficient Monitoring of Global Biodiversity Portfolios

Climatologies at High resolution for the Earth Land Surface Areas (CHELSA)

Description

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.

Source

https://envicloud.wsl.ch/#/?prefix=chelsa/chelsa_V2/GLOBAL/

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. \Sexpr[results=rd]{tools:::Rd_expr_doi("https://doi.org/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. \Sexpr[results=rd]{tools:::Rd_expr_doi("https://doi.org/10.1038/sdata.2017.122")}

mapme-initiative/mapme.biodiversity documentation built on April 5, 2025, 12:47 p.m.