JOURNAL OF HYDROLOGY | 卷:401 |
Towards improved criteria for hydrological model calibration: theoretical analysis of distance- and weak form-based functions | |
Article | |
Guinot, V.1  Cappelaere, B.1  Delenne, C.1  Ruelland, D.1  | |
[1] Univ Montpellier 2, HydroSci Montpellier UMR 5569, CNRS, IRD,UM1,UM2,CC MSE, F-34095 Montpellier 5, France | |
关键词: Model performance evaluation; Calibration; Objective function; Mean squared error; Nash-Sutcliffe efficiency; Conceptual hydrological model; | |
DOI : 10.1016/j.jhydrol.2011.02.004 | |
来源: Elsevier | |
【 摘 要 】
Calibrating conceptual hydrological models is often done via the optimization of objective functions serving as a measure of model performance. Most of the objective functions used in the hydrological literature can be classified into distance- and weak form-based objective functions. Distance- and weak form-based objective functions can be seen respectively as generalizations of the square error and balance error. An analysis of the objective functions shows that: (i) the calibration problem is transformed from an optimization problem with distance-based objective functions into a root finding problem for weak form-based functions; (ii) weak form-based objective functions are essentially less prone to local extrema than distance-based functions; (iii) consequently, they allow simple gradient-based methods to be used; (iv) parameter redundancy can be assessed very simply by superimposing the contour lines or comparing the gradients of two objective functions of similar nature in the parameter space; and (v) simple guidelines can be defined for the selection of the calibration variables in a conceptual hydrological model. The theoretical results are illustrated by two simple test cases. Weak form-based approaches offer the potential for better-posed calibration problems, through the use of a number of independent criteria that matches the dimension of the identification problem. In contrast with distance-based objective functions, they do not have the inconvenience of solution non-uniqueness. Finally, the need for models with internal variables bearing a physical meaning is acknowledged. (C) 2011 Elsevier B.V. All rights reserved.
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