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    Modeling Return Periods of Tropical Cyclone Intensities in the Vicinity of Hawaii

    Source: Journal of Applied Meteorology:;1998:;volume( 037 ):;issue: 009::page 951
    Author:
    Chu, Pao-Shin
    ,
    Wang, Jianxin
    DOI: 10.1175/1520-0450(1998)037<0951:MRPOTC>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Tropical cyclones in the vicinity of Hawaii have resulted in great property damage. An estimate of the return periods of tropical cyclone intensities is of particular interest to governments, public interest groups, and private sectors. A dimensionless quantity called relative intensity (RI) is used to combine all available information about the tropical cyclone characteristics at different places and times. To make a satisfactory estimate of the return periods of tropical cyclone intensities, a large number of RIs are simulated by the Monte Carlo method based on the extreme value distribution. The return periods of RIs and the corresponding maximum wind speeds associated with tropical cyclones are then estimated by combining the information about the intensities and occurrences. Results show that the return periods of maximum wind speeds equal to or greater than 125, 110, 100, 80, 64, 50, and 34 kt are estimated to be 137, 59, 33, 12, 6.6, 4, and 3. 2 years, respectively. The Monte Carlo method is also used to estimate the confidence intervals of the return periods of tropical cyclone intensities. The sensitivity test is conducted by removing the portion of the data prior to satellite observations. For maximum wind speeds less than 80 kt, estimates of return periods from the shorter dataset (1970?95) are almost identical to those when the complete duration time series are used (1949?95).
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      Modeling Return Periods of Tropical Cyclone Intensities in the Vicinity of Hawaii

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4147994
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    contributor authorChu, Pao-Shin
    contributor authorWang, Jianxin
    date accessioned2017-06-09T14:06:43Z
    date available2017-06-09T14:06:43Z
    date copyright1998/09/01
    date issued1998
    identifier issn0894-8763
    identifier otherams-12633.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4147994
    description abstractTropical cyclones in the vicinity of Hawaii have resulted in great property damage. An estimate of the return periods of tropical cyclone intensities is of particular interest to governments, public interest groups, and private sectors. A dimensionless quantity called relative intensity (RI) is used to combine all available information about the tropical cyclone characteristics at different places and times. To make a satisfactory estimate of the return periods of tropical cyclone intensities, a large number of RIs are simulated by the Monte Carlo method based on the extreme value distribution. The return periods of RIs and the corresponding maximum wind speeds associated with tropical cyclones are then estimated by combining the information about the intensities and occurrences. Results show that the return periods of maximum wind speeds equal to or greater than 125, 110, 100, 80, 64, 50, and 34 kt are estimated to be 137, 59, 33, 12, 6.6, 4, and 3. 2 years, respectively. The Monte Carlo method is also used to estimate the confidence intervals of the return periods of tropical cyclone intensities. The sensitivity test is conducted by removing the portion of the data prior to satellite observations. For maximum wind speeds less than 80 kt, estimates of return periods from the shorter dataset (1970?95) are almost identical to those when the complete duration time series are used (1949?95).
    publisherAmerican Meteorological Society
    titleModeling Return Periods of Tropical Cyclone Intensities in the Vicinity of Hawaii
    typeJournal Paper
    journal volume37
    journal issue9
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(1998)037<0951:MRPOTC>2.0.CO;2
    journal fristpage951
    journal lastpage960
    treeJournal of Applied Meteorology:;1998:;volume( 037 ):;issue: 009
    contenttypeFulltext
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