By Qingyun Duan, Hoshin V. Gupta, Soroosh Sorooshian, Alain N. Rousseau, Richard Turcotte

ISBN-10: 087590355X

ISBN-13: 9780875903552

ISBN-10: 1118665678

ISBN-13: 9781118665671

Published by way of the yank Geophysical Union as a part of the Water technology and alertness Series.

During the previous 4 a long time, computer-based mathematical types of watershed hydrology were accepted for numerous purposes together with hydrologic forecasting, hydrologic layout, and water assets administration. those types are in accordance with normal mathematical descriptions of the watershed techniques that rework typical forcing (e.g., rainfall over the panorama) into reaction (e.g., runoff within the rivers). The consumer of a watershed hydrology version needs to specify the version parameters sooner than the version is ready to adequately simulate the watershed behavior.

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Ammentorp,2002: Comparison of Different AutomatedStrategiesfor Calibrationof Rainfallrunoff Models, Journal of Hydrology,261, 48-59. , X. Gao, S. Sorooshian,B. Imam, 2000: Estimating Cloud Top Height And Spatial DisplacementFrom ScanSynchronous GOES Images Using Simplified IR-Based StereoscopicAnalysis, Journal of Geophysical Research, 105(D12): 15,597-15,608. V. A. C. Bales, 1999: Sensitivity Analysis Using Mass Flux and Concentration, HydrologicalProcesses,13(14-15), 2233-2244. C. W. H. S. Baron,2000:StreamChemistryModelingof TwoWatersheds in the FrontRange,Colorado,WaterResources Research, 36(1),77-87.

Dracup, 1980: Stochastic Parameter EstimationProceduresfor Hydrologic Rainfall-Runoff Models: Correlated and Heteroscedastic Error Cases, Water Resources Research, 16(2), 430-442. K. L. Fulton, 1983: Evaluationof Maximum Likelihood Parameter Estimation Techniquesfor ConceptualRainfall-Runoff Models: Influence of Calibration Data, Variability and Length on Model Credibility, Water ResourcesResearch, 19(1), 251-259. , Q. K. Gupta, 1993: Calibration of Rainfall-RunoffModels:Applicationof Global Optimizationto the Sacramento Soil Moisture Accounting Model, Water ResourcesResearch, 29, 1185-1194.

E. differentmodelsandusuallydifferentmodelstructures will haveto be comparedto identify a suitablemodelor models. The reasonis that the level of performancethat can be reached is unknown, due to unknown influences of data error and of natural randomess. Those models and model structuresthat severelyunder-performcan be refuted and excluded from further consideration. In cases where all modelsfail, one has to go back and relax the criteria for underperformance[Beven,2000, p. 304]. g. 113]. 119; Magee, 1977, p.

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Calibration of Watershed Models by Qingyun Duan, Hoshin V. Gupta, Soroosh Sorooshian, Alain N. Rousseau, Richard Turcotte


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