中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
How evaluation of global hydrological models can help to improve credibility of river discharge projections under climate change

文献类型:期刊论文

作者Krysanova, Valentina1; Zaherpour, Jamal; Didovets, Iulii1; Gosling, Simon N.2; Gerten, Dieter1,3; Hanasaki, Naota4; Mueller Schmied, Hannes5,6; Pokhrel, Yadu7; Satoh, Yusuke8,9; Tang, Qiuhong10
刊名CLIMATIC CHANGE
出版日期2020-10-12
页码25
关键词Climate change Global hydrological models River discharge projections Model evaluation Model performance Model weighting Credibility of projections
ISSN号0165-0009
DOI10.1007/s10584-020-02840-0
通讯作者Krysanova, Valentina(krysanova@pik-potsdam.de)
英文摘要Importance of evaluation of global hydrological models (gHMs) before doing climate impact assessment was underlined in several studies. The main objective of this study is to evaluate the performance of six gHMs in simulating observed discharge for a set of 57 large catchments applying common metrics with thresholds for the monthly and seasonal dynamics and summarize them estimating an aggregated index of model performance for each model in each basin. One model showed a good performance, and other five showed a weak or poor performance in most of the basins. In 15 catchments, evaluation results of all models were poor. The model evaluation was supplemented by climate impact assessment for a subset of 12 representative catchments using (1) usual ensemble mean approach and (2) weighted mean approach based on model performance, and the outcomes were compared. The comparison of impacts in terms of mean monthly and mean annual discharges using two approaches has shown that in four basins, differences were negligible or small, and in eight catchments, differences in mean monthly, mean annual discharge or both were moderate to large. The spreads were notably decreased in most cases when the second method was applied. It can be concluded that for improving credibility of projections, the model evaluation and application of the weighted mean approach could be recommended, especially if the mean monthly (seasonal) impacts are of interest, whereas the ensemble mean approach could be applied for projecting the mean annual changes. The calibration of gHMs could improve their performance and, consequently, the credibility of projections.
WOS关键词SCALE ; WATER ; UNCERTAINTY ; RUNOFF ; IMPACT ; EVAPOTRANSPIRATION ; PERFORMANCE ; STREAMFLOW ; ENSEMBLE
资助项目Projekt DEAL ; BMBF[01LS1711F] ; JSPS KAKENHI[17K12820] ; NSFC[41730645] ; Newton Advanced Fellowship
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000577049600001
出版者SPRINGER
资助机构Projekt DEAL ; BMBF ; JSPS KAKENHI ; NSFC ; Newton Advanced Fellowship
源URL[http://ir.igsnrr.ac.cn/handle/311030/157053]  
专题中国科学院地理科学与资源研究所
通讯作者Krysanova, Valentina
作者单位1.Potsdam Inst Climate Impact Res, Potsdam, Germany
2.Univ Nottingham, Sch Geog, Nottingham, England
3.Humboldt Univ, Geog Dept, Berlin, Germany
4.Natl Inst Environm Studies, Ctr Climate Change Adaptat, Tsukuba, Ibaraki, Japan
5.Goethe Univ Frankfurt, Inst Phys Geog, Frankfurt, Germany
6.Senckenberg Leibniz Biodivers & Climate Res Ctr S, Frankfurt, Germany
7.Michigan State Univ, Dept Civil & Environm Engn, E Lansing, MI 48824 USA
8.Natl Inst Environm Studies, Tsukuba, Ibaraki, Japan
9.IIASA, Laxenburg, Austria
10.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Krysanova, Valentina,Zaherpour, Jamal,Didovets, Iulii,et al. How evaluation of global hydrological models can help to improve credibility of river discharge projections under climate change[J]. CLIMATIC CHANGE,2020:25.
APA Krysanova, Valentina.,Zaherpour, Jamal.,Didovets, Iulii.,Gosling, Simon N..,Gerten, Dieter.,...&Wada, Yoshihide.(2020).How evaluation of global hydrological models can help to improve credibility of river discharge projections under climate change.CLIMATIC CHANGE,25.
MLA Krysanova, Valentina,et al."How evaluation of global hydrological models can help to improve credibility of river discharge projections under climate change".CLIMATIC CHANGE (2020):25.

入库方式: OAI收割

来源:地理科学与资源研究所

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