Land Change Science, Swiss Federal Research Institute WSL, 8903 Birmensdorf, Switzerland
Chantal Hari
Land Change Science, Swiss Federal Research Institute WSL, 8903 Birmensdorf, Switzerland
Climate and Environmental Physics, Physics Institute, University of
Bern, 3012 Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, 3012 Bern, Switzerland
Loïc Pellissier
Land Change Science, Swiss Federal Research Institute WSL, 8903 Birmensdorf, Switzerland
Ecosystems and Landscape Evolution, Institute of Terrestrial
Ecosystems, Department of Environmental System Science, ETH Zürich, 8092
Zürich, Switzerland
Dirk Nikolaus Karger
Land Change Science, Swiss Federal Research Institute WSL, 8903 Birmensdorf, Switzerland
Viewed
Total article views: 19,081 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
9,666
9,229
186
19,081
383
232
HTML: 9,666
PDF: 9,229
XML: 186
Total: 19,081
BibTeX: 383
EndNote: 232
Views and downloads (calculated since 27 Jun 2022)
Cumulative views and downloads
(calculated since 27 Jun 2022)
Total article views: 9,937 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
7,696
2,085
156
9,937
349
200
HTML: 7,696
PDF: 2,085
XML: 156
Total: 9,937
BibTeX: 349
EndNote: 200
Views and downloads (calculated since 16 Dec 2022)
Cumulative views and downloads
(calculated since 16 Dec 2022)
Total article views: 9,144 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,970
7,144
30
9,144
34
32
HTML: 1,970
PDF: 7,144
XML: 30
Total: 9,144
BibTeX: 34
EndNote: 32
Views and downloads (calculated since 27 Jun 2022)
Cumulative views and downloads
(calculated since 27 Jun 2022)
Viewed (geographical distribution)
Total article views: 19,081 (including HTML, PDF, and XML)
Thereof 18,370 with geography defined
and 711 with unknown origin.
Total article views: 9,937 (including HTML, PDF, and XML)
Thereof 9,610 with geography defined
and 327 with unknown origin.
Total article views: 9,144 (including HTML, PDF, and XML)
Thereof 8,760 with geography defined
and 384 with unknown origin.
Using mechanistic downscaling, we developed CHELSA-BIOCLIM+, a set of 15 biologically relevant, climate-related variables at unprecedented resolution, as a basis for environmental analyses. It includes monthly time series for 38+ years and 30-year averages for three future periods and three emission scenarios. Estimates matched well with station measurements, but few biases existed. The data allow for detailed assessments of climate-change impact on ecosystems and their services to societies.
Using mechanistic downscaling, we developed CHELSA-BIOCLIM+, a set of 15 biologically relevant,...