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CHELSA

Climatologies at high resolution for the earth’s land surface areas

Versions

Version 1.2 Version 2.1

Citation

version 2.1 CHELSA BIOCLIM +

Brun, P., Zimmermann, N. E., Hari, C., Pellissier, L., and Karger, D. N.: Global climate-related predictors at kilometer resolution for the past and future, Earth Syst. Sci. Data, 14, 5573–5603, https://doi.org/10.5194/essd-14-5573-2022, 2022.

Brun, P., Zimmermann, N. E., Hari, C., Pellissier, L., Karger, D. N. (2022). CHELSA-BIOCLIM+ A novel set of global climate-related predictors at kilometre-resolution. EnviDat. https://www.doi.org/10.16904/envidat.332.

Older versions

Karger, D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, H.P. & Kessler, M. (2017) Climatologies at high resolution for the earth’s land surface areas. Scientific Data 4, 170122.

Data access

Originally accessible to download from Dryad:

Karger, D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, H.P., Kessler, M. (2017) Data from: Climatologies at high resolution for the earth’s land surface areas. Dryad Digital Repository. https://doi.org/10.5061/dryad.kd1d4

On February 2021 the recommended method is to use the download server.

Once in the server, is easy to select the files needed, and download a list of files paths for download with several tools. Here I use wget

Data download and preparation

For version 2.1 / CHELSA Bioclim + variables

source proyectos/CES/cesdata/env/project-env.sh
mkdir -p $GISDATA/climate/global/CHELSA
cd $GISDATA/climate/global/CHELSA


SRV=https://os.zhdk.cloud.switch.ch/envicloud/chelsa/chelsa_V2/GLOBAL/climatologies
GRP=1981-2010/bio

for VAR in ai fcf fgd gsl swe lgd gsp gst swb npp scd
do
wget --continue ${SRV}/${GRP}/CHELSA_${VAR}_1981-2010_V.2.1.tif
done

for VAR in hurs pet_penman clt cmi vpd sfcWind
do
for SMR in min max mean range
do
wget --continue ${SRV}/${GRP}/CHELSA_${VAR}_${SMR}_1981-2010_V.2.1.tif
done
done

for VAR in rsds # for some weird reason this one has a different order
do
for SMR in min max mean range
do
wget --continue ${SRV}/${GRP}/CHELSA_${VAR}_1981-2010_${SMR}_V.2.1.tif
done
done

for VAR in gdd gdgfgd gddglgd ngd
do
for SMR in 0 5 10
do
wget --continue ${SRV}/${GRP}/CHELSA_${VAR}${SMR}_1981-2010_V.2.1.tif
done
done

for VAR in bio
do
for SMR in $(seq 1 19)
do
wget --continue ${SRV}/${GRP}/CHELSA_${VAR}${SMR}_1981-2010_V.2.1.tif
done
done


Older versions

source proyectos/CES/cesdata/env/project-env.sh
mkdir -p $GISDATA/climate/global/CHELSA
cd $GISDATA/climate/global/CHELSA

# scp downloaded file with document links: envidatS3paths.txt
wget -b -nH -x --cut-dirs=3 --continue -i envidatS3paths.txt
wget -b -nH -x --cut-dirs=3 --continue -i envidatS3paths3.txt
wget -b -nH -x --cut-dirs=3 --continue -i envidatS3paths4.txt
grep -h swe envidatS3paths* > links
wget -b -nH -x --cut-dirs=3 --continue -i links

This dataset is used for...

IUCN RLE assessment of tropical glaciers

IUCN GET map of tropical glaciers ecosystems

Global suitability map of tropical alpine ecosystems