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Ensemble forecasting / Forecasting / Forecast bias / Atmospheric model / Data assimilation / Regression analysis / National Weather Service / Forecast skill / Statistical forecasting / Statistics / Prediction


Hydrol. Earth Syst. Sci., 11, 939–950, 2007 www.hydrol-earth-syst-sci.net/ © Author(sThis work is licensed under a Creative Commons License. Hydrology and
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Document Date: 2014-12-04 02:14:29


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City

Stratford / Baltimore / Hamlet / Cleveland / Iowa City / /

Company

Creative Commons / Copernicus GmbH / /

Country

United States / /

/

Facility

University of Wisconsin / USA University of Iowa / /

IndustryTerm

water resources applications / Ensemble prediction systems / /

NaturalFeature

Des Moines River / /

Organization

European Geosciences Union / Original Ensemble Corrected Ensemble / University of Iowa / Department of Atmospheric and Ocean Sciences / University of Wisconsin / Center for Urban Environmental Research and Education / U.S. National Weather Service / /

Person

Souza Filho / /

Position

Carpenter / /

ProgrammingLanguage

Fortran / /

ProvinceOrState

Wisconsin / Iowa / Maine / /

PublishedMedium

the August and September monthly / /

Region

central United States / /

Technology

simulation / Evolution algorithm / carried out using the Shuffled Complex Evolution algorithm / /

URL

www.hydrol-earth-syst-sci.net/11/939/2007 / /

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