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  • 标题:Climate change: Sources of uncertainty in precipitation and temperature projections for Denmark
  • 本地全文:下载
  • 作者:Ernesto Pasten-Zapata ; Torben O. Sonnenborg ; Jens Christian Refsgaard
  • 期刊名称:Geological Survey of Denmark and Greenland Bulletin
  • 印刷版ISSN:1604-8156
  • 出版年度:2019
  • 卷号:43
  • 页码:1-6
  • DOI:10.34194/GEUSB-201943-01-02
  • 语种:English
  • 出版社:De Nationale Geologiske Undersoegelser for Danmark og Groenland
  • 摘要:General Circulation Models (GCMs) are the main tools used to assess the impacts of climate change. Due to their coarse resolution, with cells of 100 km × 100 km, GCMs are dynamically downscaled using Regional Climate Models (RCMs) that better incorporate the local physical features and simulate the climate of a smaller region, e.g. a country. However, RCMs tend to have systematic biases when compared with local observations, such as deviations from day-to-day measurements, and from the mean and extreme events. As a result, confidence in the model projections decreases. One way to address this is to correct the RCM output using statistical methods that relate the simulations with the observations, producing bias-corrected (BC) projections.
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