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20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 Multi-Model Ensemble Simulation of Flood Events using Bayesian Model Averaging Ruirui Zhu1, 2
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Document Date: 2013-11-19 21:59:42


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City

Piemonte / Washington / DC / Canberra / Zhengzhou / Piscataway / Beijing / Littleton / Adelaide / Nagoya / New York / Oxford / /

Company

Raftery A. E. / Neuman S. P. / /

Country

Japan / United States / Australia / China / /

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Event

Natural Disaster / /

Facility

Yanchuan station / University of Washington / The Qingjianhe catchment / Qingjianhe Catchment / Institute of Geographic Sciences / QJH catchment / /

NaturalFeature

Yellow River / /

Organization

IEEE Service Center / University of Washington / American Society of Civil Engineers / Chinese Academy of Sciences / Institute of Geographic Sciences and Natural Resources Research / Yellow River Water Resources Committee / International Congress / United Nations / Department of Statistics / China National Natural Science Foundation / Hydrological Bureau / China Ministry of Water Resources / Yellow River Conservancy Commission / /

Person

Nat / V.P.Singh / Koren V / D.K. Frevert / /

Position

V.P. / /

Product

Sangean WR-2 Radio / /

ProvinceOrState

Colorado / /

PublishedMedium

Monthly Weather Review / /

Technology

ExpectationMaximization algorithm / Simulation / EM algorithm / PDF / /

URL

www.mssanz.org.au/modsim2013 / /

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