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    Performance of NCEP Regional Wave Models in Predicting Peak Sea States during the 2005 North Atlantic Hurricane Season

    Source: Weather and Forecasting:;2010:;volume( 025 ):;issue: 005::page 1543
    Author:
    Chao, Yung Y.
    ,
    Tolman, Hendrik L.
    DOI: 10.1175/2010WAF2222309.1
    Publisher: American Meteorological Society
    Abstract: Unprecedented numbers of tropical cyclones occurred in the North Atlantic Ocean and the Gulf of Mexico in 2005. This provides a unique opportunity to evaluate the performance of two operational regional wave forecasting models at the National Centers for Environmental Prediction (NCEP). This study validates model predictions of the tropical cyclone?generated maximum significant wave height, simultaneous spectral peak wave period, and the time of occurrence against available buoy measurements from the National Data Buoy Center (NDBC). The models used are third-generation operational wave models: the Western North Atlantic wave model (WNA) and the North Atlantic Hurricane wave model (NAH). These two models have identical model physics, spatial resolutions, and domains, with the latter model using specialized hurricane wind forcing. Both models provided consistent estimates of the maximum wave height and period, with random errors of typically less than 25%, and timing errors of typically less than 5 h. Compared to these random errors, systematic model biases are negligible, with a typical negative model bias of 5%. It appears that higher wave model resolutions are needed to fully utilize the specialized hurricane wind forcing, and it is shown that present routine wave observations are inadequate to accurately validate hurricane wave models.
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      Performance of NCEP Regional Wave Models in Predicting Peak Sea States during the 2005 North Atlantic Hurricane Season

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4213341
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    • Weather and Forecasting

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    contributor authorChao, Yung Y.
    contributor authorTolman, Hendrik L.
    date accessioned2017-06-09T16:38:33Z
    date available2017-06-09T16:38:33Z
    date copyright2010/10/01
    date issued2010
    identifier issn0882-8156
    identifier otherams-71448.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4213341
    description abstractUnprecedented numbers of tropical cyclones occurred in the North Atlantic Ocean and the Gulf of Mexico in 2005. This provides a unique opportunity to evaluate the performance of two operational regional wave forecasting models at the National Centers for Environmental Prediction (NCEP). This study validates model predictions of the tropical cyclone?generated maximum significant wave height, simultaneous spectral peak wave period, and the time of occurrence against available buoy measurements from the National Data Buoy Center (NDBC). The models used are third-generation operational wave models: the Western North Atlantic wave model (WNA) and the North Atlantic Hurricane wave model (NAH). These two models have identical model physics, spatial resolutions, and domains, with the latter model using specialized hurricane wind forcing. Both models provided consistent estimates of the maximum wave height and period, with random errors of typically less than 25%, and timing errors of typically less than 5 h. Compared to these random errors, systematic model biases are negligible, with a typical negative model bias of 5%. It appears that higher wave model resolutions are needed to fully utilize the specialized hurricane wind forcing, and it is shown that present routine wave observations are inadequate to accurately validate hurricane wave models.
    publisherAmerican Meteorological Society
    titlePerformance of NCEP Regional Wave Models in Predicting Peak Sea States during the 2005 North Atlantic Hurricane Season
    typeJournal Paper
    journal volume25
    journal issue5
    journal titleWeather and Forecasting
    identifier doi10.1175/2010WAF2222309.1
    journal fristpage1543
    journal lastpage1567
    treeWeather and Forecasting:;2010:;volume( 025 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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