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  Cross-scale intercomparison of climate change impacts simulated by regional and global hydrological models in eleven large river basins

Hattermann, F. F., Krysanova, V., Gosling, S. N., Dankers, R., Daggupati, P., Donnelly, C., Flörke, M., Huang, S., Motovilov, Y., Su, B., Yang, T., Müller, C., Leng, G., Tang, Q., Portmann, F. T., Hagemann, S., Gerten, D., Wada, Y., Masaki, Y., Alemayehu, T., Satoh, Y., Samaniego, L. (2017): Cross-scale intercomparison of climate change impacts simulated by regional and global hydrological models in eleven large river basins. - Climatic Change, 141, 3, 561-576.
https://doi.org/10.1007/s10584-016-1829-4

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Hattermann, Fred Fokko1, Author              
Krysanova, Valentina1, Author              
Gosling, S. N.2, Author
Dankers, R.2, Author
Daggupati, P.2, Author
Donnelly, C.2, Author
Flörke, M.2, Author
Huang, Shaochun1, Author              
Motovilov, Y.2, Author
Su, B.2, Author
Yang, T.2, Author
Müller, Christoph1, Author              
Leng, G.2, Author
Tang, Q.2, Author
Portmann, F. T.2, Author
Hagemann, S.2, Author
Gerten, Dieter1, Author              
Wada, Y.2, Author
Masaki, Y.2, Author
Alemayehu, T.2, Author
Satoh, Y.2, AuthorSamaniego, L.2, Author more..
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Abstract: Ideally, the results from models operating at different scales should agree in trend direction and magnitude of impacts under climate change. However, this implies that the sensitivity to climate variability and climate change is comparable for impact models designed for either scale. In this study, we compare hydrological changes simulated by 9 global and 9 regional hydrological models (HM) for 11 large river basins in all continents under reference and scenario conditions. The foci are on model validation runs, sensitivity of annual discharge to climate variability in the reference period, and sensitivity of the long-term average monthly seasonal dynamics to climate change. One major result is that the global models, mostly not calibrated against observations, often show a considerable bias in mean monthly discharge, whereas regional models show a better reproduction of reference conditions. However, the sensitivity of the two HM ensembles to climate variability is in general similar. The simulated climate change impacts in terms of long-term average monthly dynamics evaluated for HM ensemble medians and spreads show that the medians are to a certain extent comparable in some cases, but have distinct differences in other cases, and the spreads related to global models are mostly notably larger. Summarizing, this implies that global HMs are useful tools when looking at large-scale impacts of climate change and variability. Whenever impacts for a specific river basin or region are of interest, e.g. for complex water management applications, the regional-scale models calibrated and validated against observed discharge should be used.

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 Dates: 2017
 Publication Status: Finally published
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1007/s10584-016-1829-4
PIKDOMAIN: Climate Impacts & Vulnerabilities - Research Domain II
PIKDOMAIN: Earth System Analysis - Research Domain I
eDoc: 7306
Working Group: Terrestrial Safe Operating Space
Working Group: Hydroclimatic Risks
Working Group: Land Use and Resilience
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Title: Climatic Change
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 141 (3) Sequence Number: - Start / End Page: 561 - 576 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals80