Identification of an optimal derivatives approximation by variational data assimilation

被引:5
作者
Kazantsev, Eugene [1 ]
机构
[1] INRIA, Projet MOISE, Lab Jean Kuntzmann, F-38041 Grenoble 9, France
关键词
Variational data assimilation; Boundary conditions; Wave equation; GENERAL-CIRCULATION MODELS; BOUNDARY-CONDITIONS; BOTTOM TOPOGRAPHY; BURGERS-EQUATION; OCEAN MODEL; SENSITIVITY; SPECIFICATION; ALGORITHMS; STRESS;
D O I
10.1016/j.jcp.2009.09.018
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Variational data assimilation technique applied to identification of optimal approximations of derivatives near boundary is discussed in frames of one-dimensional wave equation. Simplicity of the equation and of its numerical scheme allows us to discuss in detail as the development of the adjoint model and assimilation results. It is shown what kind of errors can be corrected by this control and how these errors are corrected. This study is carried out in view of using this control to identify optimal numerical schemes in coastal regions of ocean models. (C) 2009 Elsevier Inc. All rights reserved.
引用
收藏
页码:256 / 275
页数:20
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