A Hybrid Four‐Dimensional Variational Data Assimilation System for the Model for Prediction Across Scales (MPAS‐Atmosphere): Leveraging the Joint Effort for Data Assimilation Integration (JEDI)

Abstract A global Four‐Dimensional Ensemble Variational (4DEnVar) data assimilation system for the Atmospheric component of the Model for Prediction Across Scales (MPAS‐A) is presented that uses the Joint Effort for Data assimilation Integration (JEDI). Dual‐resolution cycling experiments with a 30 ...

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Principais autores:	R. G. Nystrom, C. Snyder, Z. Liu, B. J. Jung, J. Ban, I. H. Banos
Formato:	Artigo
Idioma:	Inglês
Publicado em:	American Geophysical Union (AGU) 2025-12-01
coleção:	Journal of Advances in Modeling Earth Systems
Assuntos:	variational data assimilation global numerical weather prediction
Acesso em linha:	https://doi.org/10.1029/2025MS005183
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