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    Predictability of Tropical Cyclone Intensity over the Western North Pacific Using the IBTrACS Dataset

    Source: Monthly Weather Review:;2018:;volume 146:;issue 009::page 2741
    Author:
    Zhong, Quanjia
    ,
    Li, Jianping
    ,
    Zhang, Lifeng
    ,
    Ding, Ruiqiang
    ,
    Li, Baosheng
    DOI: 10.1175/MWR-D-17-0301.1
    Publisher: American Meteorological Society
    Abstract: AbstractThe predictability limits of tropical cyclone (TC) intensity over the western North Pacific (WNP) are investigated using TC best track data. The results show that the predictability limit of the TC minimum central pressure (MCP) is ~102 h, comparable to that of the TC maximum sustained wind (MSW). The spatial distribution of the predictability limit of the TC MCP over the WNP is similar to that of the TC MSW, and both gradually decrease from the eastern WNP (EWNP) to the South China Sea (SCS). The predictability limits of the TC MCP and MSW are relatively high over the southeastern WNP where the modified accumulated cyclone energy (MACE) is relatively large, whereas they are relatively low over the SCS where the MACE is relatively small. The spatial patterns of the TC lifetime and the lifetime maximum intensity (LMI) are similar to that of the TC MACE. Strong and long-lived TCs, which have relatively long predictability, mainly form in the southwestern WNP. In contrast, weak and short-lived TCs, which have relatively short predictability, mainly form in the SCS. In addition to the dependence of the predictability limit on genesis location, the predictability limits of TC intensity also evolve in the TC life cycle. The predictability limit of the TC MCP (MSW) gradually decreases from 102 (108) h at genesis time (00 h) to 54 (84) h 4 days after TC genesis.
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      Predictability of Tropical Cyclone Intensity over the Western North Pacific Using the IBTrACS Dataset

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4261250
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    contributor authorZhong, Quanjia
    contributor authorLi, Jianping
    contributor authorZhang, Lifeng
    contributor authorDing, Ruiqiang
    contributor authorLi, Baosheng
    date accessioned2019-09-19T10:04:34Z
    date available2019-09-19T10:04:34Z
    date copyright6/25/2018 12:00:00 AM
    date issued2018
    identifier othermwr-d-17-0301.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261250
    description abstractAbstractThe predictability limits of tropical cyclone (TC) intensity over the western North Pacific (WNP) are investigated using TC best track data. The results show that the predictability limit of the TC minimum central pressure (MCP) is ~102 h, comparable to that of the TC maximum sustained wind (MSW). The spatial distribution of the predictability limit of the TC MCP over the WNP is similar to that of the TC MSW, and both gradually decrease from the eastern WNP (EWNP) to the South China Sea (SCS). The predictability limits of the TC MCP and MSW are relatively high over the southeastern WNP where the modified accumulated cyclone energy (MACE) is relatively large, whereas they are relatively low over the SCS where the MACE is relatively small. The spatial patterns of the TC lifetime and the lifetime maximum intensity (LMI) are similar to that of the TC MACE. Strong and long-lived TCs, which have relatively long predictability, mainly form in the southwestern WNP. In contrast, weak and short-lived TCs, which have relatively short predictability, mainly form in the SCS. In addition to the dependence of the predictability limit on genesis location, the predictability limits of TC intensity also evolve in the TC life cycle. The predictability limit of the TC MCP (MSW) gradually decreases from 102 (108) h at genesis time (00 h) to 54 (84) h 4 days after TC genesis.
    publisherAmerican Meteorological Society
    titlePredictability of Tropical Cyclone Intensity over the Western North Pacific Using the IBTrACS Dataset
    typeJournal Paper
    journal volume146
    journal issue9
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-17-0301.1
    journal fristpage2741
    journal lastpage2755
    treeMonthly Weather Review:;2018:;volume 146:;issue 009
    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