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    Multimodel Combination Techniques for Analysis of Hydrological Simulations: Application to Distributed Model Intercomparison Project Results

    Source: Journal of Hydrometeorology:;2006:;Volume( 007 ):;issue: 004::page 755
    Author:
    Ajami, Newsha K.
    ,
    Duan, Qingyun
    ,
    Gao, Xiaogang
    ,
    Sorooshian, Soroosh
    DOI: 10.1175/JHM519.1
    Publisher: American Meteorological Society
    Abstract: This paper examines several multimodel combination techniques that are used for streamflow forecasting: the simple model average (SMA), the multimodel superensemble (MMSE), modified multimodel superensemble (M3SE), and the weighted average method (WAM). These model combination techniques were evaluated using the results from the Distributed Model Intercomparison Project (DMIP), an international project sponsored by the National Weather Service (NWS) Office of Hydrologic Development (OHD). All of the multimodel combination results were obtained using uncalibrated DMIP model simulations and were compared against the best-uncalibrated as well as the best-calibrated individual model results. The purpose of this study is to understand how different combination techniques affect the accuracy levels of the multimodel simulations. This study revealed that the multimodel simulations obtained from uncalibrated single-model simulations are generally better than any single-member model simulations, even the best-calibrated single-model simulations. Furthermore, more sophisticated multimodel combination techniques that incorporated bias correction step work better than simple multimodel average simulations or multimodel simulations without bias correction.
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      Multimodel Combination Techniques for Analysis of Hydrological Simulations: Application to Distributed Model Intercomparison Project Results

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4224538
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    contributor authorAjami, Newsha K.
    contributor authorDuan, Qingyun
    contributor authorGao, Xiaogang
    contributor authorSorooshian, Soroosh
    date accessioned2017-06-09T17:14:01Z
    date available2017-06-09T17:14:01Z
    date copyright2006/08/01
    date issued2006
    identifier issn1525-755X
    identifier otherams-81525.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4224538
    description abstractThis paper examines several multimodel combination techniques that are used for streamflow forecasting: the simple model average (SMA), the multimodel superensemble (MMSE), modified multimodel superensemble (M3SE), and the weighted average method (WAM). These model combination techniques were evaluated using the results from the Distributed Model Intercomparison Project (DMIP), an international project sponsored by the National Weather Service (NWS) Office of Hydrologic Development (OHD). All of the multimodel combination results were obtained using uncalibrated DMIP model simulations and were compared against the best-uncalibrated as well as the best-calibrated individual model results. The purpose of this study is to understand how different combination techniques affect the accuracy levels of the multimodel simulations. This study revealed that the multimodel simulations obtained from uncalibrated single-model simulations are generally better than any single-member model simulations, even the best-calibrated single-model simulations. Furthermore, more sophisticated multimodel combination techniques that incorporated bias correction step work better than simple multimodel average simulations or multimodel simulations without bias correction.
    publisherAmerican Meteorological Society
    titleMultimodel Combination Techniques for Analysis of Hydrological Simulations: Application to Distributed Model Intercomparison Project Results
    typeJournal Paper
    journal volume7
    journal issue4
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM519.1
    journal fristpage755
    journal lastpage768
    treeJournal of Hydrometeorology:;2006:;Volume( 007 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian