Toward improved streamflow forecasts: Value of semidistributed modeling

Douglas P. Boyle, Hoshin V. Gupta, Soroosh Sorooshian, Victor Koren, Ziya Zhang, Michael Smith

Research output: Contribution to journalArticle

174 Scopus citations

Abstract

The focus of this study is to assess the performance improvements of semidistributed applications of the U.S. National Weather Service Sacramento Soil Moisture Accounting model on a watershed using radar-based remotely sensed precipitation data. Specifically, performance comparisons are made within an automated multicriteria calibration framework to evaluate the benefit of "spatial distribution" of the model input (precipitation), structural components (soil moisture and streamflow routing computations), and surface characteristics (parameters). A comparison of these results is made with those obtained through manual calibration. Results indicate that for the study watershed, there are performance improvements associated with semidistributed model applications when the watershed is partitioned into three subwatersheds; however, no additional benefit is gained from increasing the number of subwatersheds from three to eight. Improvements in model performance are demonstrably related to the spatial distribution of the model input and streamflow routing. Surprisingly, there is no improvement associated with the distribution of the surface characteristics (model parameters).

Original languageEnglish (US)
Pages (from-to)2749-2759
Number of pages11
JournalWater Resources Research
Volume37
Issue number11
DOIs
StatePublished - Nov 7 2001

ASJC Scopus subject areas

  • Water Science and Technology

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