A Deep Neural Network-Ensemble Adjustment Kalman Filter and Its Application on Strongly Coupled Data Assimilation

A Deep Neural Network-Ensemble Adjustment Kalman Filter and Its Application on Strongly Coupled Data Assimilation

This paper introduces a novel ensemble adjustment Kalman filter (EAKF) that integrates a machine-learning approach. The conventional EAKF adopts linear and Gaussian assumptions, making it difficult to handle cross-component updates in strongly coupled data assimilation (SCDA). The new approach emplo...

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Bibliographic Details
Main Authors: Renxi Wang, Zheqi Shen
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Journal of Marine Science and Engineering
Subjects:
data assimilation
machine learning
deep neural network
ensemble Kalman filter
strongly coupled data assimilation
Online Access:https://www.mdpi.com/2077-1312/12/1/108

Internet

https://www.mdpi.com/2077-1312/12/1/108

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