By Qingyun Duan, Hoshin V. Gupta, Soroosh Sorooshian, Alain N. Rousseau, Richard Turcotte
Published by means of the yank Geophysical Union as a part of the Water technological know-how and alertness Series.
During the prior 4 many years, computer-based mathematical versions of watershed hydrology were universal for various functions together with hydrologic forecasting, hydrologic layout, and water assets administration. those versions are in keeping with common mathematical descriptions of the watershed methods that remodel ordinary 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 earlier than the version is ready to accurately simulate the watershed behavior.
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Additional info for Calibration of Watershed Models
Dissertation, Department of Hydrology and Water Resources,University of Arizona, Tucson,AZ. V. Gupta, and S. Sorooshian, 2000: Toward Improved Calibration of Hydrologic Models: Combining the strengthsof Manual andAutomaticMethods, WaterResources Research,36(12) 3663-3674. V. Gupta, S. Sorooshian,V. Koren, Z. Zhang, and M. Smith,2001: TowardImprovedStreamflowForecasts:Value of Semi-distributed Modeling, Water Resources Research, 37(11), 2749-2759. D. of Civil Engineering,ColoradoStateUniversity,Fort Collins,CO, 217 p.
27]. g. e. The stepstaken in this traditional scientificmethod are [for example modified from Magee, 1977, p. 56]: MODELS The purposeof identifiabilityanalysisin CRR modelling is to find (the) modelstructure(s) andcorresponding parameter set(s)which are representative of the watershedunder investigation,while consideringaspectssuchas modelling objectivesand available data. This identifiability analysis can be split into two stages:model structureselectionand parameterestimation,which can,however,not be treatedas completelyseparate[Sorooshianand Gupta, 1985] (in order to evaluatemodel structuresfully, one has to analysetheir performanceand behaviourwhich requires some form of parameterestimation).
Braatz,2000: A MultistepAutomaticCalibrationSchemefor RiverForecasting Models,AMS Journalof Hydrometerology, 1,524-542. Hooke, R. A. , 8(2), 212-229. , A. Stone, N. Christophersen, E. M. Seip, 1988: Assessingthe Birkenes Model of Stream Acidification Using a Multisignal CalibrationMethodology, Water ResourcesResearch,24(8), 1308-1316. D. Thesis,Universityof London, UK. , 1996:LessonTaughtby Floodsin the United Statesof America, Presentedat ICSU SS/IDMDR Workshopon River Flood Disasters,Koblenz,Germany,November,26-28, 1996.
Calibration of Watershed Models by Qingyun Duan, Hoshin V. Gupta, Soroosh Sorooshian, Alain N. Rousseau, Richard Turcotte