DOI: 10.5194/hess-18-2829-2014
Scopus记录号: 2-s2.0-84905579334
论文题名: Benchmarking hydrological models for low-flow simulation and forecasting on French catchments
作者: Nicolle P ; , Pushpalatha R ; , Perrin C ; , François D ; , Thiéry D ; , Mathevet T ; , Le Lay M ; , Besson F ; , Soubeyroux J ; -M ; , Viel C ; , Regimbeau F ; , Andréassian V ; , Maugis P ; , Augeard B ; , Morice E
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2014
卷: 18, 期: 8 起始页码: 2829
结束页码: 2857
语种: 英语
Scopus关键词: Benchmarking
; Flow simulation
; Forecasting
; Runoff
; Stream flow
; Better performance
; Evaluation framework
; Forecasting efficiencies
; Forecasting models
; Hydrological modellers
; Hydrological models
; Individual models
; Streamflow variability
; Catchments
英文摘要: Low-flow simulation and forecasting remains a difficult issue for hydrological modellers, and intercomparisons can be extremely instructive for assessing existing low-flow prediction models and for developing more efficient operational tools. This research presents the results of a collaborative experiment conducted to compare low-flow simulation and forecasting models on 21 unregulated catchments in France. Five hydrological models (four lumped storage-type models - Gardenia, GR6J, Mordor and Presages - and one distributed physically oriented model - SIM) were applied within a common evaluation framework and assessed using a common set of criteria. Two simple benchmarks describing the average streamflow variability were used to set minimum levels of acceptability for model performance in simulation and forecasting modes. Results showed that, in simulation as well as in forecasting modes, all hydrological models performed almost systematically better than the benchmarks. Although no single model outperformed all the others for all catchments and criteria, a few models appeared to be more satisfactory than the others on average. In simulation mode, all attempts to relate model efficiency to catchment or streamflow characteristics remained inconclusive. In forecasting mode, we defined maximum useful forecasting lead times beyond which the model does not bring useful information compared to the benchmark. This maximum useful lead time logically varies between catchments, but also depends on the model used. Simple multi-model approaches that combine the outputs of the five hydrological models were tested to improve simulation and forecasting efficiency. We found that the multi-model approach was more robust and could provide better performance than individual models on average. © 2014 Author(s) CC Attribution 3.0 License. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78179
Appears in Collections: 气候变化事实与影响
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作者单位: Irstea, HBAN, Antony, France; Université de Lorraine, LOTERR, Metz, France; BRGM, Orléans, France; EDF-DTG, Grenoble, France; Météo-France, Direction de la Climatologie, Toulouse, France; IPSL, LSCE, Gif-sur-Yvette, France; ONEMA, Vincennes, France; Direction de l'Eau et de la Biodiversité, Ministère de l'Écologie, Du Développement Durable et de l'Énergie, La Défense, France
Recommended Citation:
Nicolle P,, Pushpalatha R,, Perrin C,et al. Benchmarking hydrological models for low-flow simulation and forecasting on French catchments[J]. Hydrology and Earth System Sciences,2014-01-01,18(8)