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

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F15%3A67739" target="_blank" >RIV/60460709:41330/15:67739 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5194/hess-19-1827-2015" target="_blank" >http://dx.doi.org/10.5194/hess-19-1827-2015</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5194/hess-19-1827-2015" target="_blank" >10.5194/hess-19-1827-2015</a>

Result language
angličtina
Original language name
Inter-comparison of statistical downscaling methods for projection of extreme precipitation in Europe
Original language description
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. This study compares eight statistical downscaling methods(SDMs) often used in climate change impact studies. Four methods are based on change factors (CFs), three are bias correction (BC) methods, and one is a perfect prognosis method. The eight methods are used to downscale precipitation output from 15 regional climate models (RCMs) from the ENSEMBLES project for 11 catchments in Europe. The overall results point to an increase in extreme precipitation in most catchments in both winter and summer. For individual catchmen
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
DA - Hydrology and limnology
OECD FORD branch
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Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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