Global runoff routing with the hydrological component of the ECMWF NWP system

被引:41
作者
Pappenberger, F. [1 ]
Cloke, H. L. [2 ]
Balsamo, G. [1 ]
Ngo-Duc, T. [3 ,4 ]
Oki, T. [4 ]
机构
[1] European Ctr Medium Range Weather Forecasts, Reading RG2 9AX, Berks, England
[2] Kings Coll London, Dept Geog, London WC2R 2LS, England
[3] Vietnam Natl Hydrometeorol Serv, Aerometeorol Observ, Hanoi, Vietnam
[4] Univ Tokyo, Inst Ind Sci, Tokyo, Japan
关键词
routing; hydrology; uncertainty analysis; sensitivity analysis; ECMWF; HTESSEL; global; large scale; WATER-BALANCE; CONTINENTAL-SCALE; ROUGHNESS VALUES; PART; MODEL; UNCERTAINTY; DISCHARGE; INUNDATION; STREAMFLOWS; SIMULATION;
D O I
10.1002/joc.2028
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A global river routing scheme coupled to the ECMWF land surface model is implemented and tested within the framework of the Global Soil Wetness Project II, to evaluate the feasibility of modelling global river runoff at a daily time scale. The exercise is designed to provide benchmark river runoff predictions needed to verify the land surface model. Ten years of daily runoff produced by the HTESSEL land surface scheme is input into the TRIP2 river routing scheme in order to generate daily river runoff. These are then compared to river runoff observations from the Global Runoff Data Centre (GRDC) in order to evaluate the potential and the limitations. A notable source of inaccuracy is bias between observed and modelled discharges which is not primarily due to the modelling system but instead of to the forcing and quality of observations and seems uncorrelated to the river catchment size. A global sensitivity analysis and Generalised Likelihood Uncertainty Estimation (GLUE) uncertainty analysis are applied to the global routing model. The ground water delay parameter is identified as being the most sensitive calibration parameter. Significant uncertainties are found in results, and those due to parameterisation of the routing model are quantified. The difficulty involved in parameterising global river discharge models is discussed. Detailed river runoff simulations are shown for the river Danube, which match well observed river runoff in upstream river transects. Results show that although there are errors in runoff predictions, model results are encouraging and certainly indicative of useful runoff predictions, particularly for the purpose of verifying the land surface scheme hydrologicly. Potential of this modelling system on future applications such as river runoff forecasting and climate impact studies is highlighted. Copyright (C) 2009 Royal Meteorological Society
引用
收藏
页码:2155 / 2174
页数:20
相关论文
共 108 条
[1]   Development and testing of the WaterGAP 2 global model of water use and availability [J].
Alcamo, J ;
Döll, P ;
Henrichs, T ;
Kaspar, F ;
Lehner, B ;
Rösch, T ;
Siebert, S .
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 2003, 48 (03) :317-337
[2]   Application of a generalized TOPMODEL to the small Ringelbach catchment, Vosges, France [J].
Ambroise, B ;
Freer, J ;
Beven, K .
WATER RESOURCES RESEARCH, 1996, 32 (07) :2147-2159
[3]  
[Anonymous], 2000, Probability and Statistics series
[4]  
[Anonymous], 2000, 295 ECMWF
[5]  
[Anonymous], 2007, J HYDROL, DOI DOI 10.1016/j.jhydrol.2007.04.002
[6]   Flood risk assessment and associated uncertainty [J].
Apel, H ;
Thieken, AH ;
Merz, B ;
Blöschl, G .
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2004, 4 (02) :295-308
[7]   Uncertainty and equifinality in calibrating distributed roughness coefficients in a flood propagation model with limited data [J].
Aronica, G ;
Hankin, B ;
Beven, K .
ADVANCES IN WATER RESOURCES, 1998, 22 (04) :349-365
[8]   A variable velocity flow routing algorithm for GCMs [J].
Arora, VK ;
Boer, GJ .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1999, 104 (D24) :30965-30979
[9]   A Revised Hydrology for the ECMWF Model: Verification from Field Site to Terrestrial Water Storage and Impact in the Integrated Forecast System [J].
Balsamo, Gianpaolo ;
Viterbo, Pedro ;
Beljaars, Anton ;
van den Hurk, Bart ;
Hirschi, Martin ;
Betts, Alan K. ;
Scipal, Klaus .
JOURNAL OF HYDROMETEOROLOGY, 2009, 10 (03) :623-643
[10]   Bayesian updating of flood inundation likelihoods conditioned on flood extent data [J].
Bates, PD ;
Horritt, MS ;
Aronica, G ;
Beven, K .
HYDROLOGICAL PROCESSES, 2004, 18 (17) :3347-3370