Book Reviews

Book Reviews Computer Models of Watershed Hydrology. proaches in representing physical processes, Vija y P. Singh , Ed. 1995 . 1144 pp. $95.00. functionalities of models, etc. The two subsequent Hardbound . Wate r Resources Publications. ISBN 0- chapters deal with the critical issues of model identi- 918334-91-8 . fication and parameter estimation. In chapter 2, S. Sorooshian and V. K. Gupta give an excellent exposi- tion on how to conduct automatic model calibration; In this expanding digital world, we are counting that is, to determine model parameters by using com- more and more on computer models as the tool of puterized optimation algorithms and by using histori- choice to solve our real life problems. There is no bet- cal hydrologic data. In chapter 3, C. S. Melching of- ter proof of this statement than the suite of models compiled in Computer Models of Watershed Hydrol- fers insightful views on how to address uncertainty ogy. Since the epic work on the Stanford Watershed issues associated with watershed modeling. It is per- Model, by Norman H. Crawford and Ray K. Linsley, haps no exaggeration to say that the task of identify- first appeared in the literature in the 1960s, watershed ing a http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Bulletin of the American Meteorological Society American Meteorological Society

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Publisher
American Meteorological Society
Copyright
Copyright © American Meteorological Society
ISSN
1520-0477
D.O.I.
10.1175/1520-0477-78.11.2668
Publisher site
See Article on Publisher Site

Abstract

Computer Models of Watershed Hydrology. proaches in representing physical processes, Vija y P. Singh , Ed. 1995 . 1144 pp. $95.00. functionalities of models, etc. The two subsequent Hardbound . Wate r Resources Publications. ISBN 0- chapters deal with the critical issues of model identi- 918334-91-8 . fication and parameter estimation. In chapter 2, S. Sorooshian and V. K. Gupta give an excellent exposi- tion on how to conduct automatic model calibration; In this expanding digital world, we are counting that is, to determine model parameters by using com- more and more on computer models as the tool of puterized optimation algorithms and by using histori- choice to solve our real life problems. There is no bet- cal hydrologic data. In chapter 3, C. S. Melching of- ter proof of this statement than the suite of models compiled in Computer Models of Watershed Hydrol- fers insightful views on how to address uncertainty ogy. Since the epic work on the Stanford Watershed issues associated with watershed modeling. It is per- Model, by Norman H. Crawford and Ray K. Linsley, haps no exaggeration to say that the task of identify- first appeared in the literature in the 1960s, watershed ing a

Journal

Bulletin of the American Meteorological SocietyAmerican Meteorological Society

Published: Nov 1, 1997

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