Causality-driven localization method for improving ensemble-based Kalman filters in strongly coupled data assimilation system

Strongly coupled data assimilation (SCDA) is a critical tool for improving Earth system predictions by directly integrating observational data into coupled numerical models that simulate interactions among atmospheric, oceanic, and terrestrial components. However, SCDA faces significant challenges,...

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Hlavní autoři:	Tian'ao Wang, Xuan Wang, Lige Cao, Wei Li, Guijun Han
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2025-09-01
Edice:	Frontiers in Marine Science
Témata:	strongly coupled data assimilation EAKF localization adaptive method causal analysis
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fmars.2025.1600634/full
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