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PREDICTION OF ANNUAL FREQUENCY OF AFFECTING TROPICAL CYCLONE USING THE PRODUCTS OF A HYBRID COUPLEDAIR-SEA MODEL

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  • Better correlation exists between the activity of tropical cyclones affecting East China and Shanghai and the concurrent signals of SSTA in tropical Pacific. In an attempt to justify this statistic finding, a four-dimensional variational data assimilation system is established to optimize the initial fields of a hybrid air-sea coupled model. The prediction skill of tropical SSTA is improved. Long-term statistical models for predicting annual TC frequency affecting East China area and Shanghai city are developed based on 37-year products of this model and the forecast trials have achieved satisfactory results in 1998 and 1999.
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    [2] LI Cong-ying. A study on the influence of El Nino upon typhoon action over western Pacific [J]. Acta MeteorologicaSinica, 1987, 45 (2): 229-235.
    [3] LI Yong-ping, QIN Zeng-hao, DENG Zhi-ying. Mechanism of factors affecting annual frequency of tropiclcyclone for Shanghai [J]. Atmospheric Science Research and Application, 1998, 1: 1-6.
    [4] CHEN min, ZHENG Yong-guang, TAO Zu-yu. An analysis on tropical cyclones' climatic feature in thewestern north Pacific for 1949 - 1996 [J]. Journal of Tropical Meteorology, 1999, 15 (1): 10-16.
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    [6] KLEEMAN R, MOORE A M, SMITH N R. Assimilation of subsurface thermal data into a simple oceanmodel for the initialization of an intermediate tropical coupled ocean-atmosphere forecast model [J].Monthly Weather Review, 1995, 123:3103-3113.
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LI Yong-ping, LIANG Xu-dong, DENG Zhi-ying. PREDICTION OF ANNUAL FREQUENCY OF AFFECTING TROPICAL CYCLONE USING THE PRODUCTS OF A HYBRID COUPLEDAIR-SEA MODEL [J]. Journal of Tropical Meteorology, 2001, 7(1): 63-68.
LI Yong-ping, LIANG Xu-dong, DENG Zhi-ying. PREDICTION OF ANNUAL FREQUENCY OF AFFECTING TROPICAL CYCLONE USING THE PRODUCTS OF A HYBRID COUPLEDAIR-SEA MODEL [J]. Journal of Tropical Meteorology, 2001, 7(1): 63-68.
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PREDICTION OF ANNUAL FREQUENCY OF AFFECTING TROPICAL CYCLONE USING THE PRODUCTS OF A HYBRID COUPLEDAIR-SEA MODEL

Abstract: Better correlation exists between the activity of tropical cyclones affecting East China and Shanghai and the concurrent signals of SSTA in tropical Pacific. In an attempt to justify this statistic finding, a four-dimensional variational data assimilation system is established to optimize the initial fields of a hybrid air-sea coupled model. The prediction skill of tropical SSTA is improved. Long-term statistical models for predicting annual TC frequency affecting East China area and Shanghai city are developed based on 37-year products of this model and the forecast trials have achieved satisfactory results in 1998 and 1999.

LI Yong-ping, LIANG Xu-dong, DENG Zhi-ying. PREDICTION OF ANNUAL FREQUENCY OF AFFECTING TROPICAL CYCLONE USING THE PRODUCTS OF A HYBRID COUPLEDAIR-SEA MODEL [J]. Journal of Tropical Meteorology, 2001, 7(1): 63-68.
Citation: LI Yong-ping, LIANG Xu-dong, DENG Zhi-ying. PREDICTION OF ANNUAL FREQUENCY OF AFFECTING TROPICAL CYCLONE USING THE PRODUCTS OF A HYBRID COUPLEDAIR-SEA MODEL [J]. Journal of Tropical Meteorology, 2001, 7(1): 63-68.
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