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    Maximum Covariance Analysis of Typhoon Surface Wind and Rainfall Relationships in Taiwan

    Source: Journal of Applied Meteorology and Climatology:;2009:;volume( 048 ):;issue: 005::page 997
    Author:
    Tsai, Hsiao-Chung
    ,
    Lee, Tim Hau
    DOI: 10.1175/2008JAMC1963.1
    Publisher: American Meteorological Society
    Abstract: The multivariate relationships between hourly surface wind and rainfall observations during typhoons affecting Taiwan have been investigated with maximum covariance analysis (MCA). Historical surface observations from 1987 to 2004 are used when typhoon centers were located inside the domain of 19°?28°N, 117°?127°E. The three leading MCA modes explain 70%, 20.6%, and 7.6% of the squared covariance fraction, and the correlation coefficients are 0.59, 0.48, and 0.49, respectively. The wind directions of the three leading positive modes are 1) northwesterly flow perpendicular to the Snow Mountain Range (SMR), 2) southwesterly flow toward the river valleys of the southwestern Central Mountain Range (CMR) and the southern SMR, and 3) easterly flow toward the northeastern SMR and the northern CMR. The rainfall patterns of the three principal modes reveal the contrast between the windward and the leeward sides of the mountain ranges. Based on the MCA singular vectors, historical typhoon surface wind patterns are categorized into major types. The results show that the three major wind types consist of 53% of the data, with 25%, 9%, and 19%, respectively, for these wind types. Furthermore, the analyses of the corresponding surface air temperatures, relative humidities, and air pressures also reveal contrasting patterns between the windward and leeward sides.
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      Maximum Covariance Analysis of Typhoon Surface Wind and Rainfall Relationships in Taiwan

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4208071
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    • Journal of Applied Meteorology and Climatology

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    contributor authorTsai, Hsiao-Chung
    contributor authorLee, Tim Hau
    date accessioned2017-06-09T16:22:30Z
    date available2017-06-09T16:22:30Z
    date copyright2009/05/01
    date issued2009
    identifier issn1558-8424
    identifier otherams-66705.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4208071
    description abstractThe multivariate relationships between hourly surface wind and rainfall observations during typhoons affecting Taiwan have been investigated with maximum covariance analysis (MCA). Historical surface observations from 1987 to 2004 are used when typhoon centers were located inside the domain of 19°?28°N, 117°?127°E. The three leading MCA modes explain 70%, 20.6%, and 7.6% of the squared covariance fraction, and the correlation coefficients are 0.59, 0.48, and 0.49, respectively. The wind directions of the three leading positive modes are 1) northwesterly flow perpendicular to the Snow Mountain Range (SMR), 2) southwesterly flow toward the river valleys of the southwestern Central Mountain Range (CMR) and the southern SMR, and 3) easterly flow toward the northeastern SMR and the northern CMR. The rainfall patterns of the three principal modes reveal the contrast between the windward and the leeward sides of the mountain ranges. Based on the MCA singular vectors, historical typhoon surface wind patterns are categorized into major types. The results show that the three major wind types consist of 53% of the data, with 25%, 9%, and 19%, respectively, for these wind types. Furthermore, the analyses of the corresponding surface air temperatures, relative humidities, and air pressures also reveal contrasting patterns between the windward and leeward sides.
    publisherAmerican Meteorological Society
    titleMaximum Covariance Analysis of Typhoon Surface Wind and Rainfall Relationships in Taiwan
    typeJournal Paper
    journal volume48
    journal issue5
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/2008JAMC1963.1
    journal fristpage997
    journal lastpage1016
    treeJournal of Applied Meteorology and Climatology:;2009:;volume( 048 ):;issue: 005
    contenttypeFulltext
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