Toward improved streamflow forecasts: value of semidistributed modeling
نویسندگان
چکیده
منابع مشابه
Evaluation of bias-correction methods for streamflow forecasts
Evaluation of bias-correction methods for ensemble streamflow volume forecasts T. Hashino, A. A. Bradley, and S. S. Schwartz University of Wisconsin, Department of Atmospheric and Ocean Sciences, Madison, Wisconsin, USA The University of Iowa, IIHR – Hydroscience & Engineering, Iowa City, Iowa, USA Center for Urban Environmental Research and Education, UMBC, Baltimore, Maryland, USA Received: 1...
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6 [1] A new approach for developing multimodel streamflow forecasts is presented. The 7 methodology combines streamflow forecasts from individual models by evaluating 8 their skill, represented by rank probability score (RPS), contingent on the predictor state. 9 Using average RPS estimated over the chosen neighbors in the predictor state space, 10 the methodology assigns higher weights for a m...
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ژورنال
عنوان ژورنال: Water Resources Research
سال: 2001
ISSN: 0043-1397
DOI: 10.1029/2000wr000207