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    Assimilation of Tropical Cyclone Track and Structure Based on the Ensemble Kalman Filter (EnKF)

    Source: Journal of the Atmospheric Sciences:;2010:;Volume( 067 ):;issue: 012::page 3806
    Author:
    Wu, Chun-Chieh
    ,
    Lien, Guo-Yuan
    ,
    Chen, Jan-Huey
    ,
    Zhang, Fuqing
    DOI: 10.1175/2010JAS3444.1
    Publisher: American Meteorological Society
    Abstract: A new tropical cyclone vortex initialization method based on the ensemble Kalman filter (EnKF) is proposed in this study. Three observed parameters that are related to the tropical cyclone (TC) track and structure?center position, velocity of storm motion, and surface axisymmetric wind structure?are assimilated into the high-resolution Weather Research and Forecasting (WRF) model during a 24-h initialization period to develop a dynamically balanced TC vortex without employing any extra bogus schemes. The first two parameters are available from the TC track data of operational centers, which are mainly based on satellite analysis. The radial wind profile is constructed by fitting the combined information from both the best-track and the dropwindsonde data available from aircraft surveillance observations, such as the Dropwindsonde Observations for Typhoon Surveillance near the Taiwan Region (DOTSTAR). The initialized vortex structure is consistent with the observations of a typical vertical TC structure, even though only the surface wind profile is assimilated. In addition, the subsequent numerical integration shows minor adjustments during early periods, indicating that the analysis fields obtained from this method are dynamically balanced. Such a feature is important for TC numerical integrations. The results here suggest that this new method promises an improved TC initialization and could possibly contribute to some high-resolution numerical experiments to better understand the dynamics of TC structure and to improve operational TC model forecasts. Further applications of this method with sophisticated data from The Observing System Research and Predictability Experiment (THORPEX) Pacific Asian Regional Campaign (T-PARC) will be shown in a follow-up paper.
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      Assimilation of Tropical Cyclone Track and Structure Based on the Ensemble Kalman Filter (EnKF)

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4212006
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    • Journal of the Atmospheric Sciences

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    contributor authorWu, Chun-Chieh
    contributor authorLien, Guo-Yuan
    contributor authorChen, Jan-Huey
    contributor authorZhang, Fuqing
    date accessioned2017-06-09T16:34:28Z
    date available2017-06-09T16:34:28Z
    date copyright2010/12/01
    date issued2010
    identifier issn0022-4928
    identifier otherams-70246.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4212006
    description abstractA new tropical cyclone vortex initialization method based on the ensemble Kalman filter (EnKF) is proposed in this study. Three observed parameters that are related to the tropical cyclone (TC) track and structure?center position, velocity of storm motion, and surface axisymmetric wind structure?are assimilated into the high-resolution Weather Research and Forecasting (WRF) model during a 24-h initialization period to develop a dynamically balanced TC vortex without employing any extra bogus schemes. The first two parameters are available from the TC track data of operational centers, which are mainly based on satellite analysis. The radial wind profile is constructed by fitting the combined information from both the best-track and the dropwindsonde data available from aircraft surveillance observations, such as the Dropwindsonde Observations for Typhoon Surveillance near the Taiwan Region (DOTSTAR). The initialized vortex structure is consistent with the observations of a typical vertical TC structure, even though only the surface wind profile is assimilated. In addition, the subsequent numerical integration shows minor adjustments during early periods, indicating that the analysis fields obtained from this method are dynamically balanced. Such a feature is important for TC numerical integrations. The results here suggest that this new method promises an improved TC initialization and could possibly contribute to some high-resolution numerical experiments to better understand the dynamics of TC structure and to improve operational TC model forecasts. Further applications of this method with sophisticated data from The Observing System Research and Predictability Experiment (THORPEX) Pacific Asian Regional Campaign (T-PARC) will be shown in a follow-up paper.
    publisherAmerican Meteorological Society
    titleAssimilation of Tropical Cyclone Track and Structure Based on the Ensemble Kalman Filter (EnKF)
    typeJournal Paper
    journal volume67
    journal issue12
    journal titleJournal of the Atmospheric Sciences
    identifier doi10.1175/2010JAS3444.1
    journal fristpage3806
    journal lastpage3822
    treeJournal of the Atmospheric Sciences:;2010:;Volume( 067 ):;issue: 012
    contenttypeFulltext
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    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian