Continuous data assimilation for the three-dimensional planetary geostrophic equations of large-scale ocean circulation

Bo You
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Abstract

The main objective of this paper is to consider a continuous data assimilation algorithm for the three-dimensional planetary geostrophic model in the case that the observable measurements, obtained continuously in time, may be contaminated by systematic errors. In this paper, we will provide some suitable conditions on the nudging parameter and the spatial resolution, which are sufficient to show that the approximation solution of the proposed continuous data assimilation algorithm converges to the unique exact unknown reference solution of the original system at an exponential rate, asymptotically in time, under the assumption that the observed data is free of error.

大尺度海洋环流三维行星地转方程的连续数据同化
本文的主要目的是考虑在时间上连续获得的可观测测量数据可能受到系统误差污染的情况下,三维行星地转模型的连续数据同化算法。在本文中,我们将提供一些关于点动参数和空间分辨率的适当条件,这些条件足以表明,在观测数据没有误差的假设下,所提出的连续数据同化算法的近似解在时间上以指数速度渐近地收敛于原始系统的唯一精确未知参考解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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