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08/10/2023
Filtering Dynamical Systems Using Observations of Statistics
We consider the problem of filtering dynamical systems, possibly stochas...
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06/09/2022
Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems
Data assimilation (DA) is a key component of many forecasting models in ...
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02/04/2022
A multi-model ensemble Kalman filter for data assimilation and forecasting
Data assimilation (DA) aims to optimally combine model forecasts and noi...
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03/16/2021
Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers
There is growing interest in data-driven weather prediction (DDWP), for ...
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05/09/2019
