Journal article

Publication year: 2001

Pages: 103-109

Journal: Journal of Hydrology

Volume number: 251

Issue number: 1-2

ISSN: 0022-1694

eISSN: 1879-2707

DOI Link: https://doi.org/10.1016/S0022-1694(01)00429-2

Publisher: Elsevier

Abstract: 
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. (C) 2001 Elsevier Science B.V. All rights reserved.

Harvard Citation style: Eckhardt, K. and Arnold, J. (2001) Automatic calibration of a distributed catchment model, Journal of Hydrology, 251(1-2), pp. 103-109. https://doi.org/10.1016/S0022-1694(01)00429-2

APA Citation style: Eckhardt, K., & Arnold, J. (2001). Automatic calibration of a distributed catchment model. Journal of Hydrology. 251(1-2), 103-109. https://doi.org/10.1016/S0022-1694(01)00429-2