A Four‐Dimensional Variational Informed Generative Adversarial Network for Data Assimilation

A Four‐Dimensional Variational Informed Generative Adversarial Network for Data Assimilation

Abstract Data‐driven weather prediction (DDWP) has made significant advancements in recent years. However, weather prediction using DDWPs still requires an accurate initial field as the input. To fulfill this requirement, the four‐dimensional variational (4DVar) approach can offer initial fields. Re...

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Bibliographic Details
Main Authors: Wuxin Wang, Boheng Duan, Weicheng Ni, Jingze Lu, Taikang Yuan, Dawei Li, Juan Zhao, Kaijun Ren
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2025-06-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
data assimilation
four‐dimensional variational
generative adversarial neural network
cycle‐consistency
Online Access:https://doi.org/10.1029/2024MS004437
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https://doi.org/10.1029/2024MS004437

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