chelsa-climatologies
2.1
Climatologies at high resolution for the earth’s land surface areas
Dirk Nikolaus Karger, Olaf Conrad, Jürgen Böhner, Tobias Kawohl, Holger Kreft, Rodrigo Wilber Soria-Auza, Niklaus E. Zimmermann, H. Peter Linder, Michael Kessler
Dirk Nikolaus Karger
Climatologies at high resolution for the earth’s land surface areas
2021
Birmensdorf, Switzerland
EnviDat
2.1
geotiff,pdf
DOI
doi:10.16904/envidat.228
https://www.envidat.ch/dataset/chelsa-climatologies
TECHNICAL CONTACT
Dirk Nikolaus
Karger
dirk.karger@wsl.ch
EARTH SCIENCE
BIOSPHERE
ECOLOGICAL DYNAMICS
environment
BIOCLIM
CLIMATE
CLIMATE CHANGE
CLIMATE LAYERS
CLIMATOLOGY
FREE CLIMATE DATA
PRECIPITATION
TEMPERATURE
Not provided
Not provided
Not provided
2021-01-01
COMPLETE
CARTESIAN
CARTESIAN
0.0
0.0
-90.0
90.0
0
180.0
-180.0
-90.0
-180.0
90.0
180.0
90.0
180.0
-90.0
0.0
0.0
Not provided
Public access to the data
Usage constraintes defined by the license "Creative Commons Zero - No Rights Reserved (CC0 1.0)", see https://creativecommons.org/publicdomain/zero/1.0/
English
Dynamic Macroecology
DISTRIBUTOR
WSL
Swiss Federal Institute for Forest, Snow and Landscape Research WSL
https://www.wsl.ch
DATA CENTER CONTACT
EnviDat
envidat@wsl.ch
https://www.envidat.ch/envidat_thumbnail.png
High-resolution information on climatic conditions is essential to many applications in environmental and ecological sciences. Here we present the CHELSA (Climatologies at high resolution for the earth’s land surface areas) data of downscaled temperature and precipitation to a high resolution of 30 arc sec. The temperature algorithm is based on statistical downscaling of atmospheric temperatures. The precipitation algorithm incorporates orographic predictors including wind fields, valley exposition, and boundary layer height, with a subsequent bias correction. CHELSA data published in EnviDat includes the deprecated version 1.2 (originally published under 10.5061/dryad.kd1d4). Please use the current 2.1 version. __Paper Citation:__ > _Karger DN. et al. Climatologies at high resolution for the earth’s land surface areas, Scientific Data, 4, 170122 (2017) [doi: 10.1038/sdata.2017.122](https://doi.org/10.1038/sdata.2017.122)._
https://www.envidat.ch/dataset/chelsa-climatologies
gcmd_dif
VERSION 10.2
2018-07-03T12:25:50.259890
2021-09-10T11:46:39.290017
2018-07-03T12:25:50.259890
2021-09-10T11:46:39.290017
False