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Physics > Atmospheric and Oceanic Physics

Title: 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 earths 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 seconds. 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 to 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.
Subjects: Atmospheric and Oceanic Physics (physics.ao-ph)
Journal reference: Scientific Data 4, 170122
DOI: 10.1038/sdata.2017.122
Cite as: arXiv:1607.00217 [physics.ao-ph]
  (or arXiv:1607.00217v3 [physics.ao-ph] for this version)

Submission history

From: Dirk Nikolaus Karger [view email]
[v1] Fri, 1 Jul 2016 12:12:46 GMT (1549kb)
[v2] Wed, 21 Sep 2016 11:55:48 GMT (1497kb)
[v3] Fri, 15 Sep 2017 09:21:21 GMT (3664kb)