Analysis and computation of continuous data assimilation algorithms for Lorenz 63 system based on nonlinear nudging techniques
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Publication:2223783
DOI10.1016/j.cam.2020.113246zbMath1461.65210OpenAlexW3093553656MaRDI QIDQ2223783
Publication date: 3 February 2021
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cam.2020.113246
continuous data assimilation algorithmsLorenz 63 systemnonlinear nudging techniquessynchronization technique
Related Items (4)
The bleeps, the sweeps, and the creeps: convergence rates for dynamic observer patterns via data assimilation for the 2D Navier-Stokes equations ⋮ Dynamically learning the parameters of a chaotic system using partial observations ⋮ Super-exponential convergence rate of a nonlinear continuous data assimilation algorithm: the 2D Navier-Stokes equation paradigm ⋮ Finite time synchronization of the continuous/discrete data assimilation algorithms for Lorenz 63 system based on the back and forth nudging techniques
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