CoLab 环境中的数据同化:两种动力系统的方法与应用

Roberto P. Souto, Maria Eugenia, S. Welter, Carla Osthoff, F. D. Barros, H. C. M. Furtado, Julio T. Silva, J. Anochi, Marcelo P. Ramos, H. Velho, Luiz A. V. Dias, S. B. Sambatti
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引用次数: 0

摘要

.数据同化(DA)是将观测系统的数据与之前对给定动力系统的数值模拟预测相结合,从而确定最佳初始条件的重要过程。本文介绍了为测试应用于两个动力系统的不同方法而开发框架的努力。该框架是利用谷歌 CoLab 平台和 Octave 免费数学软件实现的。用于测试的动态系统是混沌状态下的洛伦兹系统和用于海洋环流建模的二维浅水系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Assimilation on CoLab Environment: Methods and Application on Two Dynamical Systems
. Data assimilation (DA) is an essential process to identify the best initial conditional by combining data from an observation system with a previous prediction from a numerical simulation of a given dynamical system. This paper describes the effort to develop a framework for testing different methods applied to two dynamical systems. The framework was implemented using the Google CoLab platform, and Octave free mathematical software. The dynamic systems used for testing is the Lorenz system under the chaotic regime, and 2D shallow water — for ocean circulation modeling.
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