Yayınlanmış 1 Ocak 2015 | Sürüm v1
Dergi makalesi Açık

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

  • 1. DTU Environm, Lyngby, Denmark
  • 2. Deutsch GeoForsch Zentrum, Helmholtz Zentrum Potsdam, Potsdam, Germany
  • 3. Norwegian Water Resources & Energy Directorate NV, Oslo, Norway
  • 4. DHI, Horsholm, Denmark
  • 5. Czech Univ Life Sci Prague, Fac Environm Sci, Prague, Czech Republic
  • 6. Univ Potsdam, Inst Earth & Environm Sci, Potsdam, Germany
  • 7. Lithuanian Energy Inst, Kaunas, Lithuania
  • 8. Univ Thessaly, Dept Civil Engn, Volos, Greece
  • 9. Polish Acad Sci, Inst Geophys, Dept Hydrol & Hydrodynam, Warsaw 42, Poland
  • 10. Middle E Tech Univ, Dept Civil Engn, TR-06531 Ankara, Turkey

Açıklama

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.

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