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CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data Assimilation
- Deep learning models present challenges for simultaneous data assimilation (DA) in complex dynamical systems.
- The Conditional Gaussian Koopman Network (CGKN) framework addresses these challenges by integrating ensemble-based DA methods with deep learning.
- CGKN transforms nonlinear systems into neural differential equations with conditional Gaussian structures.
- CGKN proves effective for prediction and DA in strongly nonlinear and non-Gaussian systems.
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