GSTDTAP  > 气候变化
DOI10.1007/s10584-016-1841-8
Evaluation of an ensemble of regional hydrological models in 12 large-scale river basins worldwide
Huang, Shaochun1; Kumar, Rohini2; Floerke, Martina3; Yang, Tao4; Hundecha, Yeshewatesfa5; Kraft, Philipp6; Gao, Chao7; Gelfan, Alexander8; Liersch, Stefan9; Lobanova, Anastasia9; Strauch, Michael2; van Ogtrop, Floris10; Reinhardt, Julia9; Haberlandt, Uwe11; Krysanova, Valentina9
2017-04-01
发表期刊CLIMATIC CHANGE
ISSN0165-0009
EISSN1573-1480
出版年2017
卷号141期号:3
文章类型Article
语种英语
国家Norway; Germany; Peoples R China; Sweden; Russia; Australia
英文摘要

In regional climate impact studies, good performance of regional models under present/historical climate conditions is a prerequisite for reliable future projections. This study aims to investigate the overall performance of 9 hydrological models for 12 large-scale river basins worldwide driven by the reanalysis climate data from the Water and Global Change (WATCH) project. The results serve as the basis of the application of regional hydrological models for climate impact assessment within the second phase of the Inter-Sectoral Impact Model Intercomparison project (ISI-MIP2). The simulated discharges by each individual hydrological model, as well as the ensemble mean and median series were compared against the observed discharges for the period 1971-2001. In addition to a visual comparison, 12 statistical criteria were selected to assess the fidelity of model simulations for monthly hydrograph, seasonal dynamics, flow duration curves, extreme floods and low flows. The results show that most regional hydrological models reproduce monthly discharge and seasonal dynamics successfully in all basins except the Darling in Australia. The moderate flow and high flows (0.02-0.1 flow exceedance probabilities) are also captured satisfactory in many cases according to the performance ratings defined in this study. In contrast, the simulation of low flow is problematic for most basins. Overall, the ensemble discharge statistics exhibited good agreement with the observed ones except for extremes in particular basins that need further scrutiny to improve representation of hydrological processes. The performances of both the conceptual and process-based models are comparable in all basins.


领域气候变化
收录类别SCI-E
WOS记录号WOS:000396824300002
WOS关键词CLIMATE-CHANGE IMPACT ; LOW-FLOW SIMULATIONS ; NASH VALUES ; RUNOFF ; PERFORMANCE ; CRITERIA ; UNCERTAINTIES ; PROJECTIONS ; CATCHMENT ; GERMANY
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
引用统计
被引频次:76[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/29917
专题气候变化
作者单位1.Norwegian Water Resources & Energy Directorate NV, Oslo, Norway;
2.UFZ Helmholtz Ctr Environm Res, Leipzig, Germany;
3.Univ Kassel, Ctr Environm Syst Res, Kassel, Germany;
4.Hohai Univ, Ctr Global Change & Water Cycle, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing, Jiangsu, Peoples R China;
5.Swedish Meteorol & Hydrol Inst, Norrkoping, Sweden;
6.Justus Liebig Univ Giessen, Giessen, Germany;
7.Anhui Normal Univ, Coll Terr Resources & Tourism, Wuhu, Peoples R China;
8.Russian Acad Sci, Inst Water Problems, Moscow, Russia;
9.Potsdam Inst Climate Impact Res PIK, Potsdam, Germany;
10.Univ Sydney, Ctr Carbon Water & Food FAE, Sydney, NSW, Australia;
11.Leibniz Univ Hannover, Inst Water Resources Management, Hannover, Germany
推荐引用方式
GB/T 7714
Huang, Shaochun,Kumar, Rohini,Floerke, Martina,et al. Evaluation of an ensemble of regional hydrological models in 12 large-scale river basins worldwide[J]. CLIMATIC CHANGE,2017,141(3).
APA Huang, Shaochun.,Kumar, Rohini.,Floerke, Martina.,Yang, Tao.,Hundecha, Yeshewatesfa.,...&Krysanova, Valentina.(2017).Evaluation of an ensemble of regional hydrological models in 12 large-scale river basins worldwide.CLIMATIC CHANGE,141(3).
MLA Huang, Shaochun,et al."Evaluation of an ensemble of regional hydrological models in 12 large-scale river basins worldwide".CLIMATIC CHANGE 141.3(2017).
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