GLUE: 20 years on

被引:243
作者
Beven, Keith [1 ,2 ,3 ]
Binley, Andrew [1 ]
机构
[1] Univ Lancaster, Lancaster Environm Ctr, Lancaster LA1 4YQ, England
[2] Uppsala Univ, Dept Earth Sci, Uppsala, Sweden
[3] London Sch Econ, CATS, London WC2A 2AE, England
基金
英国自然环境研究理事会;
关键词
uncertainty estimation; epistemic error; rainfall-runoff models; equifinality; Plynlimon; CHAIN MONTE-CARLO; PHYSICALLY BASED MODEL; APPROXIMATE BAYESIAN COMPUTATION; SYSTEME HYDROLOGIQUE EUROPEEN; UNCERTAINTY ESTIMATION; HETEROGENEOUS HILLSLOPES; PREDICTION UNCERTAINTY; GROUNDWATER-FLOW; PEEL INLET; CALIBRATION;
D O I
10.1002/hyp.10082
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
This paper reviews the use of the Generalized Likelihood Uncertainty Estimation (GLUE) methodology in the 20years since the paper by Beven and Binley in Hydrological Processes in (1992), which is now one of the most highly cited papers in hydrology. The original conception, the on-going controversy it has generated, the nature of different sources of uncertainty and the meaning of the GLUE prediction uncertainty bounds are discussed. The hydrological, rather than statistical, arguments about the nature of model and data errors and uncertainties that are the basis for GLUE are emphasized. The application of the Institute of Hydrology distributed model to the Gwy catchment at Plynlimon presented in the original paper is revisited, using a larger sample of models, a wider range of likelihood evaluations and new visualization techniques. It is concluded that there are good reasons to reject this model for that data set. This is a positive result in a research environment in that it requires improved models or data to be made available. In practice, there may be ethical issues of using outputs from models for which there is evidence for model rejection in decision making. Finally, some suggestions for what is needed in the next 20years are provided. (c) 2013 The Authors. Hydrological Processes published by John Wiley & Sons, Ltd.
引用
收藏
页码:5897 / 5918
页数:22
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