Automatic calibration of a distributed catchment model


Parameters of hydrologic models often are not exactly known and therefore have to be determined by calibration. A manual calibration depends on the subjective assessment of the modeler and can be very time-consuming though. Methods of automatic calibration can improve these shortcomings. Yet, the high number of parameters in distributed models makes special demands on the optimization. In this paper a strategy of imposing constraints on the parameters to limit the number of independently calibrated values is outlined. Subsequently, an automatic calibration of the version SWAT-G of the model SWAT (Soil and Water Assessment Tool) with a stochastic global optimization algorithm, the Shuffled Complex Evolution algorithm, is presented for a mesoscale catchment.


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Titel Automatic calibration of a distributed catchment model
Medien Journal of Hydrology
Verlag ---
Heft 1-2
Band 251
ISBN ---
Verfasser/Herausgeber Prof. Dr. Klaus Eckhardt, J. G. Arnold
Seiten 103-109
Veröffentlichungsdatum 15.09.2001
Projekttitel ---
Zitation Eckhardt, K.; Arnold, J. (2001): Automatic calibration of a distributed catchment model. Journal of Hydrology 251 (1-2), S. 103-109. DOI: 10.1016/S0022-1694(01)00429-2