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    A Decade after Typhoon Morakot (2009): What Have We Learned about Its Physics and Predictability?

    Source: Weather and Forecasting:;2022:;volume( 037 ):;issue: 012::page 2161
    Author:
    Chung-Chieh Wang
    ,
    Hung-Chi Kuo
    ,
    Yu-Han Chen
    ,
    Shin-Hau Chen
    ,
    Kazuhisa Tsuboki
    DOI: 10.1175/WAF-D-21-0197.1
    Publisher: American Meteorological Society
    Abstract: Typhoon Morakot struck Taiwan during 7–9 August 2009 and became the deadliest tropical cyclone (TC) in five decades by producing up to 2635 mm of rain in 48 h, breaking the world record. The extreme rainfall of Morakot resulted from the strong interaction among several favorable factors that occurred simultaneously. These factors from large scale to small scale include the following: 1) weak environmental steering flow linked to the evolution of the monsoon gyre and consequently slow TC motion; 2) a strong moisture surge due to low-level southwesterly flow; 3) asymmetric rainfall and latent heating near southern Taiwan to further reduce the TC’s forward motion as its center began moving away from Taiwan; 4) enhanced rainfall due to steep topography; 5) atypical structure with a weak inner core, enhancing its susceptibility to the latent heating effect; and 6) cell merger and back building inside the rainbands associated with the interaction between the low-level jet and convective updrafts. From a forecasting standpoint, the present-day convective-permitting or cloud-resolving regional models are capable of short-range predictions of the Morakot event starting from 6 August. At longer ranges beyond 3 days, larger uncertainty exists in the track forecast and an ensemble approach is necessary. Due to the large computational demand at the required high resolution, the time-lagged strategy is shown to be a feasible option to produce useful information on rainfall probabilities of the event.
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      A Decade after Typhoon Morakot (2009): What Have We Learned about Its Physics and Predictability?

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    contributor authorChung-Chieh Wang
    contributor authorHung-Chi Kuo
    contributor authorYu-Han Chen
    contributor authorShin-Hau Chen
    contributor authorKazuhisa Tsuboki
    date accessioned2023-04-12T18:30:29Z
    date available2023-04-12T18:30:29Z
    date copyright2022/11/22
    date issued2022
    identifier otherWAF-D-21-0197.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4289790
    description abstractTyphoon Morakot struck Taiwan during 7–9 August 2009 and became the deadliest tropical cyclone (TC) in five decades by producing up to 2635 mm of rain in 48 h, breaking the world record. The extreme rainfall of Morakot resulted from the strong interaction among several favorable factors that occurred simultaneously. These factors from large scale to small scale include the following: 1) weak environmental steering flow linked to the evolution of the monsoon gyre and consequently slow TC motion; 2) a strong moisture surge due to low-level southwesterly flow; 3) asymmetric rainfall and latent heating near southern Taiwan to further reduce the TC’s forward motion as its center began moving away from Taiwan; 4) enhanced rainfall due to steep topography; 5) atypical structure with a weak inner core, enhancing its susceptibility to the latent heating effect; and 6) cell merger and back building inside the rainbands associated with the interaction between the low-level jet and convective updrafts. From a forecasting standpoint, the present-day convective-permitting or cloud-resolving regional models are capable of short-range predictions of the Morakot event starting from 6 August. At longer ranges beyond 3 days, larger uncertainty exists in the track forecast and an ensemble approach is necessary. Due to the large computational demand at the required high resolution, the time-lagged strategy is shown to be a feasible option to produce useful information on rainfall probabilities of the event.
    publisherAmerican Meteorological Society
    titleA Decade after Typhoon Morakot (2009): What Have We Learned about Its Physics and Predictability?
    typeJournal Paper
    journal volume37
    journal issue12
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-21-0197.1
    journal fristpage2161
    journal lastpage2181
    page2161–2181
    treeWeather and Forecasting:;2022:;volume( 037 ):;issue: 012
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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