YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Monthly Weather Review
    • View Item
    •   YE&T Library
    • AMS
    • Monthly Weather Review
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Impact of Assimilations of Dropwindsonde Data and SSM/I Rain Rates on Numerical Predictions of Hurricane Florence (1988)

    Source: Monthly Weather Review:;1996:;volume( 124 ):;issue: 007::page 1435
    Author:
    Shi, Jainn Jong
    ,
    Chang, Simon
    ,
    Raman, Sethu
    DOI: 10.1175/1520-0493(1996)124<1435:IOAODD>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Numerical experiments were conducted to assess the impact of Omega dropwindsonde (ODW) data and Special Sensor Microwave/Imager (SSM/I) rain rates in the analysis and prediction of Hurricane Florence (1988). The ODW data were used to enhance the initial analysis that was based on the National Meteorological Center/Regional Analysis and Forecast System (NMC/RAFS) 2.5° analysis at 0000 UTC 9 September 1988. The SSM/I rain rates at 0000 and 1200 UTC 9 September 1988 were assimilated into the Naval Research Laboratory's limited-area model during model integration. Results show that the numerical prediction with the ODW-enhanced initial analysis was superior to the control without ODW data. The 24-h intensity forecast error is reduced by about 75%, landfall location by about 95% (reduced from 294 to 15 km), and landfall time by about 5 h (from 9 to 4 h) when the ODW data were included. Results also reveal that the assimilation of SSM/I-retrieved rain rates reduce the critical landfall location forecast error by about 43% (from 294 to 169 km) and the landfall time forecast error by about 7 h (from 9 to 2 h) when the NMC/RAFS 2.5° initial analysis was not enhanced by the ODW data. The assimilation of SSM/I rain rates further improved the forecast error of the landfall time by 4 h (from 4 to 0 h) when the ODW data were used. This study concludes that numerical predictions of tropical cyclone can benefit from assimilations of ODW data and SSM/I-retrieved rain rates.
    • Download: (1.268Mb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Impact of Assimilations of Dropwindsonde Data and SSM/I Rain Rates on Numerical Predictions of Hurricane Florence (1988)

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4203671
    Collections
    • Monthly Weather Review

    Show full item record

    contributor authorShi, Jainn Jong
    contributor authorChang, Simon
    contributor authorRaman, Sethu
    date accessioned2017-06-09T16:10:54Z
    date available2017-06-09T16:10:54Z
    date copyright1996/07/01
    date issued1996
    identifier issn0027-0644
    identifier otherams-62745.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4203671
    description abstractNumerical experiments were conducted to assess the impact of Omega dropwindsonde (ODW) data and Special Sensor Microwave/Imager (SSM/I) rain rates in the analysis and prediction of Hurricane Florence (1988). The ODW data were used to enhance the initial analysis that was based on the National Meteorological Center/Regional Analysis and Forecast System (NMC/RAFS) 2.5° analysis at 0000 UTC 9 September 1988. The SSM/I rain rates at 0000 and 1200 UTC 9 September 1988 were assimilated into the Naval Research Laboratory's limited-area model during model integration. Results show that the numerical prediction with the ODW-enhanced initial analysis was superior to the control without ODW data. The 24-h intensity forecast error is reduced by about 75%, landfall location by about 95% (reduced from 294 to 15 km), and landfall time by about 5 h (from 9 to 4 h) when the ODW data were included. Results also reveal that the assimilation of SSM/I-retrieved rain rates reduce the critical landfall location forecast error by about 43% (from 294 to 169 km) and the landfall time forecast error by about 7 h (from 9 to 2 h) when the NMC/RAFS 2.5° initial analysis was not enhanced by the ODW data. The assimilation of SSM/I rain rates further improved the forecast error of the landfall time by 4 h (from 4 to 0 h) when the ODW data were used. This study concludes that numerical predictions of tropical cyclone can benefit from assimilations of ODW data and SSM/I-retrieved rain rates.
    publisherAmerican Meteorological Society
    titleImpact of Assimilations of Dropwindsonde Data and SSM/I Rain Rates on Numerical Predictions of Hurricane Florence (1988)
    typeJournal Paper
    journal volume124
    journal issue7
    journal titleMonthly Weather Review
    identifier doi10.1175/1520-0493(1996)124<1435:IOAODD>2.0.CO;2
    journal fristpage1435
    journal lastpage1448
    treeMonthly Weather Review:;1996:;volume( 124 ):;issue: 007
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    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