Data Assimilation on CoLab Environment: Methods and Application on Two Dynamical Systems

Abstract

. 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.