Articles | Volume 14, issue 12
https://doi.org/10.5194/essd-14-5573-2022
https://doi.org/10.5194/essd-14-5573-2022
Data description paper
 | 
16 Dec 2022
Data description paper |  | 16 Dec 2022

Global climate-related predictors at kilometer resolution for the past and future

Philipp Brun, Niklaus E. Zimmermann, Chantal Hari, Loïc Pellissier, and Dirk Nikolaus Karger

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Short summary
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.
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