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

Scientific data - Tập 4 Số 1
Dirk Nikolaus Karger1, Olaf Conrad2, Jürgen Böhner2, Tobias Kawohl2, Holger Kreft3, Rodrigo Wilber Soria-Auza3, Niklaus E. Zimmermann4, H. Peter Linder1, Michael Kessler1
1Department of Systematic and Evolutionary Botany, University of Zurich, Zollikerstrasse 107, Zurich 8008, Switzerland
2Institute of Geography, University of Hamburg, Bundesstrasse 55, Hamburg, 20146, Germany
3Biodiversity, Macroecology & Conservation Biogeography Group, University of Göttingen, Göttingen, 37077, Germany
4Swiss Federal Research Institute WSL, Zürcherstr 111, Birmensdorf, 8903, Switzerland

Tóm tắt

AbstractHigh-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 model output temperature and precipitation estimates of the ERA-Interim climatic reanalysis 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. The resulting data consist of a monthly temperature and precipitation climatology for the years 1979–2013. We compare the data derived from the CHELSA algorithm with other standard gridded products and station data from the Global Historical Climate Network. We compare the performance of the new climatologies in species distribution modelling and show that we can increase the accuracy of species range predictions. We further show that CHELSA climatological data has a similar accuracy as other products for temperature, but that its predictions of precipitation patterns are better.

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