Articles | Volume 14, issue 12
https://doi.org/10.5194/essd-14-5573-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-5573-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Global climate-related predictors at kilometer resolution for the past and future
Philipp Brun
CORRESPONDING AUTHOR
Land Change Science, Swiss Federal Research Institute WSL, 8903 Birmensdorf, Switzerland
Niklaus E. Zimmermann
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
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Cited
17 citations as recorded by crossref.
- Interannual climate variability improves niche estimates for ectothermic but not endothermic species D. Karger et al. 10.1038/s41598-023-39637-x
- Phytodiversity is associated with habitat heterogeneity from Eurasia to the Hengduan Mountains Y. Chang et al. 10.1111/nph.19206
- Is there a massive glacial–Holocene flora continuity in Central Europe? Á. Molnár et al. 10.1111/brv.13007
- Reconstructing 34 Years of Fire History in the Wet, Subtropical Vegetation of Hong Kong Using Landsat A. Chan et al. 10.3390/rs15061489
- ECOSTRESS Reveals the Importance of Topography and Forest Structure for Evapotranspiration from a Tropical Forest Region of the Andes A. Valdés-Uribe et al. 10.3390/rs15122985
- Photoinduced CO2 Conversion under Arctic Conditions─The High Potential of Plasmon Chemistry under Low Temperature A. Zabelina et al. 10.1021/acscatal.2c05891
- Arctic tern flyways and the changing Atlantic Ocean wind patterns N. Skyllas et al. 10.1016/j.ecochg.2023.100076
- MOF Linker Extension Strategy for Enhanced Atmospheric Water Harvesting N. Hanikel et al. 10.1021/acscentsci.3c00018
- Ecological Niche Models using MaxEnt in Google Earth Engine: Evaluation, guidelines and recommendations J. Campos et al. 10.1016/j.ecoinf.2023.102147
- Regional Climate Change Effects on the Viticulture in Portugal R. Wunderlich et al. 10.3390/environments10010005
- Pantropical distribution of short-rotation woody plantations: spatial probabilities under current and future climate K. Schulze et al. 10.1007/s11027-023-10066-5
- Whether including exotic species alters conservation prioritization: a case study in the Min River in southeastern China L. Lin et al. 10.1111/jfb.15356
- Anthropogenic influence on extreme temperature and precipitation in Central Asia B. Fallah et al. 10.1038/s41598-023-33921-6
- The species composition of local flea assemblages at a small scale in two South American regions is predominantly driven by niche-based mechanisms B. Krasnov et al. 10.1007/s00436-022-07759-2
- Global climate-related predictors at kilometer resolution for the past and future P. Brun et al. 10.5194/essd-14-5573-2022
- Regional Climate Change Effects on the Viticulture in Portugal R. Wunderlich et al. 10.3390/environments10010005
- Downscaling CORDEX Through Deep Learning to Daily 1 km Multivariate Ensemble in Complex Terrain D. Quesada‐Chacón et al. 10.1029/2023EF003531
10 citations as recorded by crossref.
- Interannual climate variability improves niche estimates for ectothermic but not endothermic species D. Karger et al. 10.1038/s41598-023-39637-x
- Phytodiversity is associated with habitat heterogeneity from Eurasia to the Hengduan Mountains Y. Chang et al. 10.1111/nph.19206
- Is there a massive glacial–Holocene flora continuity in Central Europe? Á. Molnár et al. 10.1111/brv.13007
- Reconstructing 34 Years of Fire History in the Wet, Subtropical Vegetation of Hong Kong Using Landsat A. Chan et al. 10.3390/rs15061489
- ECOSTRESS Reveals the Importance of Topography and Forest Structure for Evapotranspiration from a Tropical Forest Region of the Andes A. Valdés-Uribe et al. 10.3390/rs15122985
- Photoinduced CO2 Conversion under Arctic Conditions─The High Potential of Plasmon Chemistry under Low Temperature A. Zabelina et al. 10.1021/acscatal.2c05891
- Arctic tern flyways and the changing Atlantic Ocean wind patterns N. Skyllas et al. 10.1016/j.ecochg.2023.100076
- MOF Linker Extension Strategy for Enhanced Atmospheric Water Harvesting N. Hanikel et al. 10.1021/acscentsci.3c00018
- Ecological Niche Models using MaxEnt in Google Earth Engine: Evaluation, guidelines and recommendations J. Campos et al. 10.1016/j.ecoinf.2023.102147
- Regional Climate Change Effects on the Viticulture in Portugal R. Wunderlich et al. 10.3390/environments10010005
7 citations as recorded by crossref.
- Pantropical distribution of short-rotation woody plantations: spatial probabilities under current and future climate K. Schulze et al. 10.1007/s11027-023-10066-5
- Whether including exotic species alters conservation prioritization: a case study in the Min River in southeastern China L. Lin et al. 10.1111/jfb.15356
- Anthropogenic influence on extreme temperature and precipitation in Central Asia B. Fallah et al. 10.1038/s41598-023-33921-6
- The species composition of local flea assemblages at a small scale in two South American regions is predominantly driven by niche-based mechanisms B. Krasnov et al. 10.1007/s00436-022-07759-2
- Global climate-related predictors at kilometer resolution for the past and future P. Brun et al. 10.5194/essd-14-5573-2022
- Regional Climate Change Effects on the Viticulture in Portugal R. Wunderlich et al. 10.3390/environments10010005
- Downscaling CORDEX Through Deep Learning to Daily 1 km Multivariate Ensemble in Complex Terrain D. Quesada‐Chacón et al. 10.1029/2023EF003531
Discussed (preprint)
Latest update: 30 Sep 2023
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.
Using mechanistic downscaling, we developed CHELSA-BIOCLIM+, a set of 15 biologically relevant,...