A Method for Determining the Spatial Structure of Meteorological Variable from the Temporal Evolution of Observational Data
一种利用气象要素场时变信息确定其空间分布状态的方法及数值模拟研究

In this paper, the problem of getting the spatial structure of meteorological variables from the temporal evolution of observational data is put forward as an inverse problem. In order to solve this problem, we use the theory of adjoint equation and optimal control techniques in which the initial fields ofthe model serve as control variables. The purpose is to solve the problem in getting the rational initialfield from insufficientdata sets and the problem of large computational task because of using theadjoint equahon. A dynamical model and its adjoint model have been adopted to do some numericalexperiments. Under the condihon of making the algorithm simplified and making the distribution ofobservahonal station rational, the numerical results show that the rough structure of meteorological variables can be obtained from the observational data, the number of which is less than the dimension ofthe dynamical model.