Approximate iterative methods for variational data assimilation
Approximate iterative methods for variational data assimilation
复制标题
变分数据同化的近似迭代方法
DOI：
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
Nancy Nichols
中科院分区：
文献类型：
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作者：
A. Lawless;Serge Gratton;Nancy Nichols
四维变分资料同化问题可以看作是一个非线性最小二乘问题。一个常见的方法来解决它是等效的高斯-牛顿法。然而，为了有效地解决问题，必须进行近似。在本文中，我们研究两个近似的高斯-牛顿方法和它们的效果的数据同化问题。版权所有© 2004年约翰威利父子有限公司。
The problem of four‐dimensional variational data assimilation can be considered as a non‐linear least squares problem. A common method for solving it is equivalent to a Gauss–Newton method. However, approximations must be made in order to solve the problem efficiently. In this paper we examine two approximations to the Gauss–Newton method and their effect on the data assimilation problem. Copyright © 2004 John Wiley & Sons, Ltd.