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The Critical Role of the Routing Scheme in Simulating Peak River Discharge in Global Hydrological Models

Authors :
Zhao, Fang
Veldkamp, Ted I. E
Frieler, Katja
Schewe, Jacob
Ostberg, Sebastian
Willner, Sven
Schauberger, Bernhard
Gosling, Simon N
Schmied, Hannes Muller
Portmann, Felix T
Leng, Guoyong
Huang, Maoyi
Liu, Xingcai
Tang, Qiuhong
Hanasaki, Naota
Biemans, Hester
Gerten, Dieter
Wada, Yoshihide
Pokhrel, Yadu
Stacke, Tobias
Ciais, Philippe
Chang, Jinfeng
Ducharne, Agnes
Guimberteau, Matthieu
Kim, Hyungjun
Yamazaki, Dai
Source :
Environmental Research Letters. 12(7)
Publication Year :
2017
Publisher :
United States: NASA Center for Aerospace Information (CASI), 2017.

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 (Inter-Sectoral Impact Model Intercomparison Project phase 2a) project. The runoff simulations were used as input for the global river routing model CaMa-Flood (Catchment-based Macro-scale Floodplain). 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 (Global Runoff Data Centre) 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 two-thirds 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.

Subjects

Subjects :
Meteorology And Climatology

Details

Language :
English
ISSN :
17489326
Volume :
12
Issue :
7
Database :
NASA Technical Reports
Journal :
Environmental Research Letters
Publication Type :
Report
Accession number :
edsnas.20170007342
Document Type :
Report
Full Text :
https://doi.org/10.1088/1748-9326/aa7250