A simplified reduced order Kalman filtering and application to altimetric data assimilation in Tropical Pacific
A simplified reduced order Kalman filtering and application to altimetric data assimilation in Tropical Pacific
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DOI：
10.1016/s0924-7963(02)00129-x
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发表时间：
2002-07-15
影响因子：
2.8
通讯作者：
Blum, J
中科院分区：
文献类型：
--
作者：
Hoteit, I;Pham, DT;Blum, J
几项研究表明，奇异进化扩展卡尔曼（SEEK）滤波器及其插值变量称为奇异进化插值卡尔曼（SEIK）滤波器的有效性，在他们的能力同化到海洋模型的高度数据。然而，这些滤波器对于真实的操作同化仍然是昂贵的。本文的目的是开发退化形式的SEIK滤波器，其成本较低，但表现相当不错。我们的方法基本上包括简化SEIK滤波器的校正基础的演变，这是该滤波器中最昂贵的部分。为了处理模型的不稳定性，我们还引入了两个自适应调整方案来控制校正基的演化和调整可变遗忘因子。我们的过滤器已经实现了在一个现实的设置OPA模式在热带太平洋地区和他们的性能研究通过双实验中的观察是在海面上采样的合成高度计数据。SEIK滤波器用作比较的参考。我们的新滤波器的性能几乎与SEIK一样好，但速度可以快2-30倍。(C)2002 Elsevier Science B. V.保留所有权利。
Several studies have demonstrated the effectiveness of the singular evolutive extended Kalman (SEEK) filter and its interpolated variant called singular evolutive interpolated Kalman (SEIK) filter in their capacity to assimilate altimetric data into ocean models. However, these filters remain expensive for real operational assimilation. The purpose of this paper is to develop degraded forms of the SEIK filter which are less costly and yet perform reasonably well. Our approach essentially consists in simplifying the evolution of the correction basis of the SEIK filter, which is the most expensive part of this filter. To deal with model instabilities, we also introduce two adaptive tuning schemes to control the correction basis evolution and adjust the variable forgetting factor. Our filters have been implemented in a realistic setting of the OPA model over the tropical pacific zone and their performance studied through twin experiments in which the observations are taken to be synthetic altimeter data sampled on the sea surface. The SEIK filter is used as a reference for comparison. Our new filters perform nearly as well as the SEIK, but can be 2-30 times faster. (C) 2002 Elsevier Science B.V. All rights reserved.