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

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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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

Collections

Department of Civil Engineering, Article