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Numerical Experiments for Typhoon Dan Incorporating AMSU-A Retrieved Data with 3DVM
作者姓名:赵颖  王斌
作者单位:State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics,Chinese Academy of Sciences,State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029 Institute of Sciences,PLA University of Science and Technology,Nanjing 210011,Beijing 100029
基金项目:the China National Kev Development Planning Project for Basic Research 973 Project,the Chinese Academy of Sciences for an innovation re-search Project,Numerical experiments were corn-N0.4 pleted on the LASG cluster 1800 computer system
摘    要:Two sets of assimilation experiments on a landfalling typhoon—Typhoon Dan(1999)over the western North Pacific were designed to compare the performances of two kinds of variational data assimilation schemes that are the 3-Dimensional Variational data assimilation of Mapped observation(3DVM)and the 4-dimensional variational data assimilation(4DVar).Results show that:(1)both the 3DVM and 4DVar successfully improved the simulations of typhoon intensity and track incorporating the satellite AMSU-A retrieved temperature and wind data into the initial conditions,and the 3DVM more significantly due to the flow-dependent of background error covariance matrix and observation error covariance matrix like 3-dimensional variational data assimilation(3DVar)circle;(2)inclusions of extra model integration iterations at each observation time in the 3DVM make it more consistent with prediction model;(3)the 3DVM is much more time-saving due to the exclusion of the adjoint technique in it.

关 键 词:登陆台风  数字模拟  AMSU-A  3DVM  太平洋
收稿时间:28 November 2008

Numerical experiments for Typhoon Dan incorporating AMSU-A retrieved data with 3DVM
Ying?Zhao,Bin?Wang.Numerical Experiments for Typhoon Dan Incorporating AMSU-A Retrieved Data with 3DVM[J].Advances in Atmospheric Sciences,2008,25(4):692-703.
Authors:Ying Zhao  Bin Wang
Institution:[1]State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029 [2]Institute of Sciences, PLA University of Science and Technology, Nanjing 210011
Abstract:Two sets of assimilation experiments on a landfalling typhoon--Typhoon Dan (1999) over the western North Pacific were designed to compare the performances of two kinds of variational data assimilation schemes that are the 3-Dimensional Variational data assimilation of Mapped observation (3DVM) and the 4-dimensional variational data assimilation (4DVar). Results show that: (1) both the 3DVM and 4DVar successfully improved the simulations of typhoon intensity and track incorporating the satellite AMSU-A retrieved temperature and wind data into the initial conditions, and the 3DVM more significantly due to the flow-dependent of background error covariance matrix and observation error covariance matrix like 3- dimensional variational data assimilation (3DVar) circle; (2) inclusions of extra model integration iterations at each observation time in the 3DVM make it more consistent with prediction model; (3) the 3DVM is much more time-saving due to the exclusion of the adjoint technique in it.
Keywords:landfalling typhoon  AMSU-A  3DVM  4D-Var  numerical simulation
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