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The Effect of Three-Dimensional Variational Data Assimilation of QuikSCAT Data on the Numerical Simulation of Typhoon Track and Intensity
作者姓名:ZENG Zhihu  DUAN Yihong  LIANG Xudong  MA Leiming  Johnny Chung-leung CHAN
作者单位:[1]ShanghaiTyphoonInstitute,Shanghai200030 [2]ShanghaiTyphoonInstitute,Shanghai200030//DepartmentofPhysicsandMaterialsScience,CityUniversityofHongKong,HongKong
摘    要:In this paper, the three-dimensional variational data assimilation scheme (3DVAR) in the mesoscalemod el version 5 (MM5) of the US Pennsylvania State University/National Center for Atmospheric Research is used to study the effect of assimilating the sea-wind data from QuikSCAT on the prediction of typhoon track and intensity. The case of Typhoon Dujuan (2003) is first tested and the results show appreciable improvements. Twelve other cases in 2003 are then evaluated. The assimilation of the QuikSCAT data produces significant impacts on the structure of Dujuan in terms of the horizontal and vertical winds, sealevel pressure and temperature at the initial time. With the assimilation, the 24-h (48-h) track prediction of 11 (10) out of the 12 typhoons is improved. The 24-h (48-h) prediction of typhoon intensity is also improved in 10 (9) of the 12 cases. These experiments therefore demonstrate that assimilation of the QuikSCAT sea-wind data can increase the accuracy of typhoon track and intensity predictions through modification of the initial fields associated with the typhoon.

关 键 词:台风  数值模拟  同化作用  温度  强度

The effect of three-dimensional variational data assimilation of QuikSCAT data on the numerical simulation of typhoon track and intensity
ZENG Zhihu,DUAN Yihong,LIANG Xudong,MA Leiming,Johnny Chung-leung CHAN.The Effect of Three-Dimensional Variational Data Assimilation of QuikSCAT Data on the Numerical Simulation of Typhoon Track and Intensity[J].Advances in Atmospheric Sciences,2005,22(4):534-544.
Authors:Zeng Zhihua  Duan Yihong  Liang Xudong  Ma Leiming  Johnny Chung-leung Chan
Institution:Shanghai Typhoon Institute, Shanghai 200030,Shanghai Typhoon Institute, Shanghai 200030,Shanghai Typhoon Institute, Shanghai 200030,Shanghai Typhoon Institute, Shanghai 200030,Shanghai Typhoon Institute, Shanghai 200030;Department of Physics and Materials Science, City University of Hong Kong, Hong Kong
Abstract:In this paper, the three-dimensional variational data assimilation scheme (3DVAR) in the mesoscale model version 5 (MM5) of the US Pennsylvania State University/National Center for Atmospheric Research is used to study the effect of assimilating the sea-wind data from QuikSCAT on the prediction of typhoon track and intensity. The case of Typhoon Dujuan (2003) is first tested and the results show appreciable improvements. Twelve other cases in 2003 are then evaluated. The assimilation of the QuikSCAT data produces significant impacts on the structure of Dujuan in terms of the horizontal and vertical winds, sealevel pressure and temperature at the initial time. With the assimilation, the 24-h (48-h) track prediction of 11 (10) out of the 12 typhoons is improved. The 24-h (48-h) prediction of typhoon intensity is also improved in 10 (9) of the 12 cases. These experiments therefore demonstrate that assimilation of the QuikSCAT sea-wind data can increase the accuracy of typhoon track and intensity predictions through modification of the initial fields associated with the typhoon.
Keywords:QuikSCAT  MM5 3DVAR  numerical simulation  Typhoon Dujuan
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