Towards a limits of acceptability approach to the calibration of hydrological models: Extending observation error

被引:128
作者
Liu, Yanli [1 ,2 ]
Freer, Jim [3 ,4 ]
Beven, Keith [3 ,5 ]
Matgen, Patrick [6 ]
机构
[1] Nanjing Hydraul Res Inst, Minist Water Resources China, Res Ctr Climate Change, Nanjing, Peoples R China
[2] Dalian Univ Technol, Inst Water Resources & Flood Control, Dalian, Peoples R China
[3] Univ Lancaster, Lancaster Environm Ctr, Lancaster, England
[4] Univ Bristol, Sch Geog Sci, Bristol, Avon, England
[5] Uppsala Univ, Geoctr, Uppsala, Sweden
[6] Publ Res Ctr, L-4422 Belvaux, Luxembourg
关键词
GLUE; Equifinality; Dynamic TOPMODEL; Limits of acceptability; Hypothesis testing; FORECASTING UNCERTAINTY ASSESSMENT; MONTE-CARLO ASSESSMENT; GLUE METHODOLOGY; DYNAMIC TOPMODEL; INFORMATION; PREDICTION; EQUIFINALITY; INCOHERENCE; PARAMETERS;
D O I
10.1016/j.jhydrol.2009.01.016
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Within the GLUE methodology, there are a number of advantages of taking a limits of acceptability approach to model evaluation for non-ideal applications where the strong assumptions of statistical identification might be difficult to justify. However, there is a question of how the limits of acceptability might be specified in a way that reflects the different Sources of uncertainty in the modeling process. Here, a novel method for identifying behavioural models in an extended GLUE methodology is developed and applied to an application of Dynamic TOPMODEL to the Attert catchment in Luxemburg with semi-distributed inputs to nested sub-catchments. The results raise some important issues about testing model structures as hypotheses of catchment responses. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:93 / 103
页数:11
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