Calibration of a semi-distributed rainfall-runoff model using global optimization strategies

M. Thiemann, Hoshin Vijai Gupta, R. Funke, S. Sorooshian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The physically based, semi-distributed Regionalized Rainfall Runoff Model `R3' has been designed to simulate watershed behavior using information derived from observable watershed characteristics. While some of this information can be directly measured in the field, in practice other aspects may not be easy to obtain due to the lack of measurement techniques or nonobservable model parameters. The R3 model therefore relies on calibration for the accurate definition of some of its model parameters. Previous attempts to estimate the 7 model parameters and the initial wetness were performed with the global gradient search algorithm `Globex', but the results proved to be unsatisfying. A recently developed evolution-based global search algorithm `Shuffled Complex Evolution' (SCE-UA) has been reported to be capable of localizing the global optimum even for `difficult' response surfaces. In this study, a comparison between these two algorithms was performed with historical data. The results showed the SCE-UA algorithm to be significantly superior to the Globex method in terms of efficiency and effectiveness.

Original languageEnglish (US)
Title of host publicationInternational Water Resources Engineering Conference - Proceedings
PublisherASCE
Pages1362-1367
Number of pages6
Volume2
Publication statusPublished - 1998
EventProceedings of the 1998 International Water Resources Engineering Conference. Part 2 (of 2) - Memphis, TN, USA
Duration: Aug 3 1998Aug 7 1998

Other

OtherProceedings of the 1998 International Water Resources Engineering Conference. Part 2 (of 2)
CityMemphis, TN, USA
Period8/3/988/7/98

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ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)
  • Environmental Science(all)

Cite this

Thiemann, M., Gupta, H. V., Funke, R., & Sorooshian, S. (1998). Calibration of a semi-distributed rainfall-runoff model using global optimization strategies. In International Water Resources Engineering Conference - Proceedings (Vol. 2, pp. 1362-1367). ASCE.