M. Kamali , K. Ponnambalam , and E. D. Soulis
In this approach, exploration of the cost function space was performed with an inexpensive surrogate function, not the expensive original function. The Design and Analysis of Computer Experiments(DACE) surrogate function, which is one type of approximate models, which takes correlation function for error was employed. The results for Monte Carlo Sampling, Latin Hypercube Sampling and Design and Analysis of Computer Experiments(DACE) approximate model have been compared. The results show that DACE model has a good potential for predicting the trend of simulation results. The case study of this document was WATCLASS hydrologic model calibration on Smokey-River watershed.
Received: 16 May 2007 – Discussion started: 23 Jul 2007
Publisher's note : Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
M. Kamali , K. Ponnambalam , and E. D. Soulis
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M. Kamali , K. Ponnambalam , and E. D. Soulis
M. Kamali , K. Ponnambalam , and E. D. Soulis
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