Discussion of “Automatic Calibration of the U.S. EPA SWMM Model for a Large Urban Catchment” by J. Barco, K. M. Wong, and M. K. Stenstrom
This article is a reply.
VIEW THE ORIGINAL ARTICLEThis article is a reply.
VIEW THE ORIGINAL ARTICLEPublication: Journal of Hydraulic Engineering
Volume 135, Issue 12
HY.1943-7900.0000016/asset/12f7fd64-89f1-4505-8fa7-9a2bb91bc247/assets/(asce)hy.1943-7900.0000016.fp.png)
Get full access to this article
View all available purchase options and get full access to this article.
References
Bates, B. C., and Campbell, E. P. (2001). “A Markov chain Monte Carlo scheme for parameter estimation and inference in conceptual rainfall-runoff modeling.” Water Resour. Res., 37(4), 937–947.
Beven, K., and Binley, A. (1992). “The future of distributed models: Model calibration and uncertainty prediction.” Hydrolog. Process., 6(3), 279–298.
Choi, K. S., and Ball, J. E. (2002). “A generic calibration approach: Monitoring the calibration.” Proc., 2002 Hydrology and Water Resources Symp., I. E. Aust.
Fang, T., and Ball, J. E. (2007). “Evaluation of spatially variable parameters in a complex system: An application of a genetic algorithm.” J. Hydroinform., 9(3), 163–173.
Gallagher, M., and Doherty, J. (2007). “Parameter estimation and uncertainty analysis for a watershed model.” Environ. Modell. Software, 22(7), 1000–1020.
Gan, T. Y., and Biftu, G. F. (1996). “Automatic calibration of conceptual rainfall-runoff models: Optimization algorithms, catchment conditions, and model structure.” Water Resour. Res., 32(12), 3513–3524.
Helton, J. C., and Davis, F. J. (2003). “Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems.” Reliab. Eng. Syst. Saf., 81, 23–69.
Khu, S. T., and Werner, M. G. F. (2003). “Reduction of Monte-Carlo simulation runs for uncertainty estimation in hydrological modeling.” Hydrology Earth Syst. Sci., 7(5), 680–692.
Kuczera, G. (1983). “Improved parameter inference in catchment models: 1. Evaluating parameter uncertainty.” Water Resour. Res., 19(5), 1151–1162.
Marshall, L., Nott, D., and Sharma, A. (2004). “A comparative study of Markov chain Monte Carlo methods for conceptual rainfall-runoff modeling.” Water Resour. Res.40(2), W02501.
Sorooshian, S., Gupta, V. K., and Fulton, J. L. (1983). “Evaluation of maximum likelihood parameter estimation techniques for conceptual rainfall-runoff models: Influence of calibration data variability and length on model credibility.” Water Resour. Res., 19(1), 251–259.
Spear, R. C., Grieb, T. M., and Shang, N. (1994). “Parameter uncertainty and interaction in complex environmental models.” Water Resour. Res., 30(11), 3159–3169.
Information & Authors
Information
Published In
Journal of Hydraulic Engineering
Volume 135 • Issue 12 • December 2009
Pages: 1108 - 1110
Copyright
© 2009 ASCE.
History
Received: Jul 30, 2008
Accepted: Sep 4, 2008
Published online: Nov 13, 2009
Published in print: Dec 2009
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.