Model Error Correction in Data Assimilation by Integrating Neural Networks

Model Error Correction in Data Assimilation by Integrating Neural Networks

In this paper, we suggest a new methodology which combines Neural Networks (NN) into Data Assimilation (DA). Focusing on the structural model uncertainty, we propose a framework for integration NN with the physical models by DA algorithms, to improve both the assimilation process and the forecasting...

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Bibliographic Details
Main Authors: Jiangcheng Zhu, Shuang Hu, Rossella Arcucci, Chao Xu, Jihong Zhu, Yi-ke Guo
Format: Article
Language:English
Published: Tsinghua University Press 2019-06-01
Series:Big Data Mining and Analytics
Subjects:
data assimilation
deep learning
neural networks
kalman filter
variational approach
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2018.9020033

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