首页    期刊浏览 2024年11月07日 星期四
登录注册

文章基本信息

  • 标题:Climatologies at high resolution for the earths land surface areas
  • 本地全文:下载
  • 作者:Dirk Nikolaus Karger ; Olaf Conrad ; Jürgen Böhner
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2017
  • 卷号:4
  • DOI:10.1038/sdata.2017.122
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要: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鈥檚 land surface areas) data of downscaled model output temperature and precipitation estimates of the ERA-Interim climatic reanalysis to a high resolution of 30鈥塧rc鈥塻ec. 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鈥?013. 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.
国家哲学社会科学文献中心版权所有