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,...

Descrición completa

Detalles Bibliográficos

Principais autores:	Tian'ao Wang, Xuan Wang, Lige Cao, Wei Li, Guijun Han
Formato:	Artigo
Idioma:	Inglês
Publicado:	Frontiers Media S.A. 2025-09-01
Series:	Frontiers in Marine Science
Assuntos:	strongly coupled data assimilation EAKF localization adaptive method causal analysis
Acceso en liña:	https://www.frontiersin.org/articles/10.3389/fmars.2025.1600634/full
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!