Inter-comparison of statistical downscaling methods for projection of extreme precipitation in Europe

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Sunyer M. A., Hundecha Y., Lawrence D., Madsen H., Wıllems P., Martınkova M., ...More

HYDROLOGY AND EARTH SYSTEM SCIENCES, vol.19, pp.1827-1847, 2015 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 19
  • Publication Date: 2015
  • Doi Number: 10.5194/hess-19-1827-2015
  • Journal Name: HYDROLOGY AND EARTH SYSTEM SCIENCES
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1827-1847
  • Middle East Technical University Affiliated: Yes

Abstract

Information on extreme precipitation for future climate is needed to assess the changes in the frequency and intensity of flooding. The primary source of information in climate change impact studies is climate model projections. However, due to the coarse resolution and biases of these models, they cannot be directly used in hydrological models. Hence, statistical downscaling is necessary to address climate change impacts at the catchment scale.