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  The critical role of the routing scheme in simulating peak river discharge in global hydrological models

Zhao, F., Veldkamp, T., Frieler, K., Schewe, J., Ostberg, S., Willner, S., Schauberger, B., Gosling, S., Müller Schmied, H., Portmann, F., Leng, G., Huang, M., Liu, X., Tang, Q., Hanasaki, N., Biemans, H., Gerten, D., Satoh, Y., Pokhrel, Y., Stacke, T., Ciais, P., Ducharne, A., Guimberteau, M., Wada, Y., Kim, H., Yamazaki, D. (2017): The critical role of the routing scheme in simulating peak river discharge in global hydrological models. - Environmental Research Letters, 12, 7, 075003.
https://doi.org/10.1088/1748-9326/aa7250

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 Creators:
Zhao, Fang1, Author              
Veldkamp, T.2, Author
Frieler, Katja1, Author              
Schewe, Jacob1, Author              
Ostberg, Sebastian1, Author              
Willner, Sven1, Author              
Schauberger, Bernhard1, Author              
Gosling, S.2, Author
Müller Schmied, H.2, Author
Portmann, F.2, Author
Leng, G.2, Author
Huang, M.2, Author
Liu, X.2, Author
Tang, Q.2, Author
Hanasaki, N.2, Author
Biemans, H.2, Author
Gerten, Dieter1, Author              
Satoh, Y.2, Author
Pokhrel, Y.2, Author
Stacke, T.2, Author
Ciais, P.2, AuthorDucharne, A.2, AuthorGuimberteau, M.2, AuthorWada, Y.2, AuthorKim, H.2, AuthorYamazaki, D.2, Author more..
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Abstract: Global hydrological models (GHMs) have been applied to assess global flood hazards, but their capacity to capture the timing and amplitude of peak river discharge—which is crucial in flood simulations—has traditionally not been the focus of examination. Here we evaluate to what degree the choice of river routing scheme affects simulations of peak discharge and may help to provide better agreement with observations. To this end we use runoff and discharge simulations of nine GHMs forced by observational climate data (1971–2010) within the ISIMIP2a project. The runoff simulations were used as input for the global river routing model CaMa-Flood. The simulated daily discharge was compared to the discharge generated by each GHM using its native river routing scheme. For each GHM both versions of simulated discharge were compared to monthly and daily discharge observations from 1701 GRDC stations as a benchmark. CaMa-Flood routing shows a general reduction of peak river discharge and a delay of about two to three weeks in its occurrence, likely induced by the buffering capacity of floodplain reservoirs. For a majority of river basins, discharge produced by CaMa-Flood resulted in a better agreement with observations. In particular, maximum daily discharge was adjusted, with a multi-model averaged reduction in bias over about 2/3 of the analysed basin area. The increase in agreement was obtained in both managed and near-natural basins. Overall, this study demonstrates the importance of routing scheme choice in peak discharge simulation, where CaMa-Flood routing accounts for floodplain storage and backwater effects that are not represented in most GHMs. Our study provides important hints that an explicit parameterisation of these processes may be essential in future impact studies.

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 Dates: 2017
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1088/1748-9326/aa7250
PIKDOMAIN: Climate Impacts & Vulnerabilities - Research Domain II
PIKDOMAIN: Earth System Analysis - Research Domain I
eDoc: 7628
Research topic keyword: Freshwater
Model / method: Model Intercomparison
Regional keyword: Global
Organisational keyword: RD2 - Climate Resilience
Organisational keyword: RD1 - Earth System Analysis
Working Group: Terrestrial Safe Operating Space
Working Group: Adaptation in Agricultural Systems
Working Group: Numerical analysis of global economic impacts
Working Group: Land Use and Resilience
 Degree: -

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Title: Environmental Research Letters
Source Genre: Journal, SCI, Scopus, p3, oa
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Pages: - Volume / Issue: 12 (7) Sequence Number: 075003 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/150326