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    On the Predictability of Tropical Cyclone Tracks in the Northwest Pacific Basin

    Source: Monthly Weather Review:;2003:;volume( 131 ):;issue: 007::page 1491
    Author:
    Aberson, Sim D.
    ,
    Sampson, Charles R.
    DOI: 10.1175/1520-0493(2003)131<1491:OTPOTC>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A new Northwest Pacific climatology and persistence (CLIPER) model is derived with historical tropical cyclone tracks during the satellite and aircraft reconnaissance era (1970?95). The new CLIPER extends the forecasts from 3 to 5 days and exhibits smaller forecast biases than the previous CLIPER, although forecast errors are comparable. The new model is based on more accurate historical tropical cyclone track data, and a simpler derivation of the regression equations, than is the old model. Nonlinear systems analysis shows that the predictability timescale in which the average errors increase by a factor e is just over 15 h, which is about the same as that calculated by similar methods near Australia and in the North Atlantic. This suggests that 5-day tropical cyclone track forecasts may be beneficial, assuming small initial errors; therefore, a CLIPER model extended to 5 days is needed as a baseline to measure the forecast skill.
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      On the Predictability of Tropical Cyclone Tracks in the Northwest Pacific Basin

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4205227
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    contributor authorAberson, Sim D.
    contributor authorSampson, Charles R.
    date accessioned2017-06-09T16:15:01Z
    date available2017-06-09T16:15:01Z
    date copyright2003/07/01
    date issued2003
    identifier issn0027-0644
    identifier otherams-64145.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4205227
    description abstractA new Northwest Pacific climatology and persistence (CLIPER) model is derived with historical tropical cyclone tracks during the satellite and aircraft reconnaissance era (1970?95). The new CLIPER extends the forecasts from 3 to 5 days and exhibits smaller forecast biases than the previous CLIPER, although forecast errors are comparable. The new model is based on more accurate historical tropical cyclone track data, and a simpler derivation of the regression equations, than is the old model. Nonlinear systems analysis shows that the predictability timescale in which the average errors increase by a factor e is just over 15 h, which is about the same as that calculated by similar methods near Australia and in the North Atlantic. This suggests that 5-day tropical cyclone track forecasts may be beneficial, assuming small initial errors; therefore, a CLIPER model extended to 5 days is needed as a baseline to measure the forecast skill.
    publisherAmerican Meteorological Society
    titleOn the Predictability of Tropical Cyclone Tracks in the Northwest Pacific Basin
    typeJournal Paper
    journal volume131
    journal issue7
    journal titleMonthly Weather Review
    identifier doi10.1175/1520-0493(2003)131<1491:OTPOTC>2.0.CO;2
    journal fristpage1491
    journal lastpage1497
    treeMonthly Weather Review:;2003:;volume( 131 ):;issue: 007
    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