2017
DOI: 10.1038/sdata.2017.122
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Climatologies at high resolution for the earth’s land surface areas

Abstract: 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 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 p… Show more

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Cited by 2,866 publications
(2,734 citation statements)
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References 60 publications
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“…Climatic data sets for the earth land surface area were downloaded from CHELSA (Karger et al 2017). Using the R package ''raster'' version 2.5-8 (Hijmans and van Etten 2012), all 19 bioclimatic variable data (BIO1 to BIO19) were extracted for the period 1979-2013 for each accession according to the GPS coordinates of the original collection site (Table S1).…”
Section: Climate Datamentioning
confidence: 99%
“…Climatic data sets for the earth land surface area were downloaded from CHELSA (Karger et al 2017). Using the R package ''raster'' version 2.5-8 (Hijmans and van Etten 2012), all 19 bioclimatic variable data (BIO1 to BIO19) were extracted for the period 1979-2013 for each accession according to the GPS coordinates of the original collection site (Table S1).…”
Section: Climate Datamentioning
confidence: 99%
“…Karger et al (2017) reconstructed the dynamics of the westerlies in the Ili Basin, proposing a rain belt which seasonally migrates towards the south and north in autumn and summer, respectively. A strengthened Siberian High would push the mid-latitude westerlies pathways further to the south, resulting in comparably drier conditions in northeastern Central Asia (e.g., Tian Shan) and conversely, wetter conditions in southwestern Central Asia (Pamir) (Lei et al, 2014;Wolff et al, 2017).…”
mentioning
confidence: 99%
“…Commonly used climatic datasets with a comparable spatial resolution are WorldClim (http://worldclim.org/, [49]), and CHELSA (http://chelsa-climate.org/, [50]). These datasets, however, provide long-term statistics for past time periods such as the average for the years 1970-2000 for average monthly temperatures and not up-to-date time series with, e.g., monthly average temperature for the year 2016, not to mention daily temperature time series.…”
Section: Discussionmentioning
confidence: 99%