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On June 10, 2021 at 12:18:33 PM UTC, Gravatar Administrator:
  • Updated description of Climatologies at high resolution for the earth’s land surface areas from

    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 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. Data Variable Codes: - Bio1 = Annual Mean Temperature - Bio2 = Mean Diurnal Range - Bio3 = Isothermality - Bio4 = Temperature Seasonality - Bio5 = Max Temperature of Warmest Month - Bio6 = Min Temperature of Coldest Month - Bio7 = Temperature Annual Range - Bio8 = Mean Temperature of Wettest Quarter - Bio9 = Mean Temperature of Driest Quarter - Bio10 = Mean Temperature of Warmest Quarter - Bio11 = Mean Temperature of Coldest Quarter - Bio12 = Annual Precipitation - Bio13 = Precipitation of Wettest Month - Bio14 = Precipitation of Driest Month - Bio15 = Precipitation Seasonality - Bio16 = Precipitation of Wettest Quarter - Bio17 = Precipitation of Driest Quarter - Bio18 = Precipitation of Warmest Quarter - Bio19 = Precipitation of Coldest Quarter   __Paper Citation:__ > _Karger DN. et al. Climatologies at high resolution for the earth’s land surface areas, Scientific Data, 4, 170122 (2017) [doi: 10.1038/sdata.2017.122](https://doi.org/10.1038/sdata.2017.122)._
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    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 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. Data Variable Codes: - Bio1 = Annual Mean Temperature - Bio2 = Mean Diurnal Range - Bio3 = Isothermality - Bio4 = Temperature Seasonality - Bio5 = Max Temperature of Warmest Month - Bio6 = Min Temperature of Coldest Month - Bio7 = Temperature Annual Range - Bio8 = Mean Temperature of Wettest Quarter - Bio9 = Mean Temperature of Driest Quarter - Bio10 = Mean Temperature of Warmest Quarter - Bio11 = Mean Temperature of Coldest Quarter - Bio12 = Annual Precipitation - Bio13 = Precipitation of Wettest Month - Bio14 = Precipitation of Driest Month - Bio15 = Precipitation Seasonality - Bio16 = Precipitation of Wettest Quarter - Bio17 = Precipitation of Driest Quarter - Bio18 = Precipitation of Warmest Quarter - Bio19 = Precipitation of Coldest Quarter   CHELSA data published in EnviDat includes the deprecated version 1.2 (originally published under 10.5061/dryad.kd1d4). Please use the current 2.1 version. __Paper Citation:__ > _Karger DN. et al. Climatologies at high resolution for the earth’s land surface areas, Scientific Data, 4, 170122 (2017) [doi: 10.1038/sdata.2017.122](https://doi.org/10.1038/sdata.2017.122)._


  • Changed value of field funding to [{"grant_number": "", "institution": "WSL", "institution_url": ""}, {"grant_number": "", "institution": "SNF", "institution_url": ""}] in Climatologies at high resolution for the earth’s land surface areas


  • Changed value of field related_datasets to * https://www.envidat.ch/#/metadata/chelsa_trace in Climatologies at high resolution for the earth’s land surface areas