Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems

DOI10.1016/j.jcp.2023.111918OpenAlexW4315477067MaRDI QIDQ2681144

Ebrahim Nabizadeh, Ashesh Chattopadhyay, Pedram Hassanzadeh, Eviatar Bach

Publication date: 10 February 2023

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2206.04811

zbMATH Keywords

turbulenceforecastingdata assimilationensemble Kalman filterdeep learninghigh-dimensional systems

Mathematics Subject Classification ID

Probability theory and stochastic processes (60-XX) Geophysics (86Axx) Stochastic systems and control (93Exx)

Related Items (1)

Efficient deep data assimilation with sparse observations and time-varying sensors

Uses Software

• U-Net

Cites Work

• Unnamed Item
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• A parameterized-background data-weak approach to variational data assimilation: formulation, analysis, and application to acoustics
• Data Assimilation
• Data Assimilation
• An optimal data assimilation method and its application to the numerical simulation of the ocean dynamics

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