Approximation of the Numerical Simulation in Conjunction with One Data Assimilation Method by Stochastic Process of Ornstein-Uhlenbeck Type

被引:3
|
作者
Belyaev, K. P. [1 ,2 ]
Kuleshov, A. A. [3 ]
Tuchkova, N. P. [2 ]
机构
[1] Russian Acad Sci, Shirshov Inst Oceanol, Moscow 117218, Russia
[2] Russian Acad Sci, Dorodnicyn Comp Ctr FRC Comp Sci & Control, Moscow 119333, Russia
[3] Russian Acad Sci, Keldysh Inst Appl Math, Moscow 125047, Russia
关键词
data assimilation problem; DA problem; generalized Kalman filter method; Ornstein-Uhlenbeck process; TEMPERATURE; MODEL; SALINITY;
D O I
10.1134/S1995080221080072
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The convergence of the results of modeling with the assimilation of observational data to a random process is considered. The assimilation of observational data is realized by the previously derived author's method. The convergence is considered when time of simulation is increasing unlimited. The conditions of convergence to the Ornstein-Uhlenbeck process are formulated and the corresponding results are proved. The physical interpretation of these conditions are discussed A possible numerical experiment to test and to apply these method is proposed and performed.
引用
收藏
页码:1800 / 1806
页数:7
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