Data Assimilation Networks

Data Assimilation Networks

Abstract Data Assimilation aims at estimating the posterior conditional probability density functions based on error statistics of the noisy observations and the dynamical system. State of the art methods are sub‐optimal due to the common use of Gaussian error statistics and the linearization of the...

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Bibliographic Details
Main Authors:	Pierre Boudier, Anthony Fillion, Serge Gratton, Selime Gürol, Sixin Zhang
Format:	Article
Language:	English
Published:	American Geophysical Union (AGU) 2023-04-01
Series:	Journal of Advances in Modeling Earth Systems
Subjects:	Bayesian data assimilation machine learning recurrent neural network ensemble‐based Kalman filtering
Online Access:	https://doi.org/10.1029/2022MS003353

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