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Marc Bocquet & Alban Farchi. (2019) On the consistency of the local ensemble square root Kalman filter perturbation update. Tellus A: Dynamic Meteorology and Oceanography 71:1.
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Bart M. de Leeuw & Svetlana Dubinkina. (2022) Shadowing-Based Data Assimilation Method for Partially Observed Models. SIAM Journal on Applied Dynamical Systems 21:2, pages 879-902.
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Aishah Albarakati, Marko Budišić, Rose Crocker, Juniper Glass-Klaiber, Sarah Iams, John Maclean, Noah Marshall, Colin Roberts & Erik S. Van Vleck. (2022) Model and data reduction for data assimilation: Particle filters employing projected forecasts and data with application to a shallow water model. Computers & Mathematics with Applications 116, pages 194-211.
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S. G. Penny, T. A. Smith, T.‐C. Chen, J. A. Platt, H.‐Y. Lin, M. Goodliff & H. D. I. Abarbanel. (2022) Integrating Recurrent Neural Networks With Data Assimilation for Scalable Data‐Driven State Estimation. Journal of Advances in Modeling Earth Systems 14:3.
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Alberto Carrassi, Marc Bocquet, Jonathan Demaeyer, Colin Grudzien, Patrick Raanes & Stéphane Vannitsem. 2022. Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV). Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV)
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Mathis Peyron, Anthony Fillion, Selime Gürol, Victor Marchais, Serge Gratton, Pierre Boudier & Gael Goret. (2021) Latent space data assimilation by using deep learning. Quarterly Journal of the Royal Meteorological Society 147:740, pages 3759-3777.
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Julien Brajard, Alberto Carrassi, Marc Bocquet & Laurent Bertino. (2021) Combining data assimilation and machine learning to infer unresolved scale parametrization. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 379:2194, pages 20200086.
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Colin Grudzien, Marc Bocquet & Alberto Carrassi. (2020) On the numerical integration of the Lorenz-96 model, with scalar additive noise, for benchmark twin experiments. Geoscientific Model Development 13:4, pages 1903-1924.
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