Data assimilation for the Navier-Stokes-α equations

被引:26
作者
Korn, Peter [1 ]
机构
[1] Max Planck Inst Meteorol, D-20146 Hamburg, Germany
关键词
Lagrangian averaged Navier-Stokes-alpha equations; Camassa-Holm equations; Data assimilation; Adjoint method; 4D-Var; Continuous data assimilation; CAMASSA-HOLM EQUATIONS; TURBULENCE MODEL;
D O I
10.1016/j.physd.2009.07.008
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The well-posedness of the data assimilation problem for the Navier-Stokes-alpha equations on a bounded three-dimensional domain is investigated. The data assimilation procedures under consideration are the adjoint method of variational data assimilation (4D-Var) and the method of continuous data assimilation. Concerning the adjoint method the existence of optimal initial conditions with respect to an observation-dependent cost functional is proven, the optimizers are characterized by a first-order necessary condition involving the adjoint linearized Navier-Stokes-alpha equations and conditions for the uniqueness of the initial conditions are given. Well-posedness of the continuous data assimilation problem is proven and convergence rates in terms of observational resolution are provided. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:1957 / 1974
页数:18
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