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Inter-comparison of statistical downscaling methods for projection of extreme precipitation in Europe
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Date
2015-01-01
Author
Sunyer, M. A.
Hundecha, Y.
Lawrence, D.
Madsen, H.
Wıllems, P.
Martınkova, M.
Vormoor, K.
Buerger, G.
Hanel, M.
Krıaucıunıene, J.
Loukas, A.
Osuch, M.
Yücel, İsmail
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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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.
Subject Keywords
Climate-change impacts
,
Assessing uncertainties
,
Multimodel ensemble
,
Bias correction
,
Model output
,
Scenarios
,
Simulations
,
Rainfall
URI
https://hdl.handle.net/11511/39090
Journal
HYDROLOGY AND EARTH SYSTEM SCIENCES
DOI
https://doi.org/10.5194/hess-19-1827-2015
Collections
Department of Civil Engineering, Article