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    Stochastic Variability of Tropical Cyclone Intensity at the Maximum Potential Intensity Equilibrium

    Source: Journal of the Atmospheric Sciences:;2020:;volume( 77 ):;issue: 009::page 3105
    Author:
    Nguyen, Phuong;Kieu, Chanh;Fan, Wai-Tong (Louis)
    DOI: 10.1175/JAS-D-20-0070.1
    Publisher: American Meteorological Society
    Abstract: This study examines the variability of tropical cyclone (TC) intensity associated with stochastic forcings at the maximum potential intensity (PI) equilibrium. By representing TC intensity as an Itô diffusion process in the framework of TC-scale dynamics, we show from both theoretical and numerical analyses that there exists an invariant intensity distribution whose variance is proportional to the variances of stochastic forcings. This result provides further evidence that TC dynamics possess an intrinsic variability that prevents the TC absolute intensity errors in numerical models from being reduced below an arbitrarily small threshold. Analysis of the invariant intensity distribution at the PI limit reveals also that the stochastic forcing component associated with tangential wind and the warm-core anomaly in the TC central region have the largest contribution to TC intensity variability. These results suggest that future development of stochastic representation in TC models should focus on the tangential wind and thermodynamic structure to capture proper TC intensity random fluctuations.
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      Stochastic Variability of Tropical Cyclone Intensity at the Maximum Potential Intensity Equilibrium

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    contributor authorNguyen, Phuong;Kieu, Chanh;Fan, Wai-Tong (Louis)
    date accessioned2022-01-30T17:52:11Z
    date available2022-01-30T17:52:11Z
    date copyright9/1/2020 12:00:00 AM
    date issued2020
    identifier issn0022-4928
    identifier otherjasd200070.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4264088
    description abstractThis study examines the variability of tropical cyclone (TC) intensity associated with stochastic forcings at the maximum potential intensity (PI) equilibrium. By representing TC intensity as an Itô diffusion process in the framework of TC-scale dynamics, we show from both theoretical and numerical analyses that there exists an invariant intensity distribution whose variance is proportional to the variances of stochastic forcings. This result provides further evidence that TC dynamics possess an intrinsic variability that prevents the TC absolute intensity errors in numerical models from being reduced below an arbitrarily small threshold. Analysis of the invariant intensity distribution at the PI limit reveals also that the stochastic forcing component associated with tangential wind and the warm-core anomaly in the TC central region have the largest contribution to TC intensity variability. These results suggest that future development of stochastic representation in TC models should focus on the tangential wind and thermodynamic structure to capture proper TC intensity random fluctuations.
    publisherAmerican Meteorological Society
    titleStochastic Variability of Tropical Cyclone Intensity at the Maximum Potential Intensity Equilibrium
    typeJournal Paper
    journal volume77
    journal issue9
    journal titleJournal of the Atmospheric Sciences
    identifier doi10.1175/JAS-D-20-0070.1
    journal fristpage3105
    journal lastpage3118
    treeJournal of the Atmospheric Sciences:;2020:;volume( 77 ):;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
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