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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Bibliografski detalji

Glavni autori:	R. G. Nystrom, C. Snyder, Z. Liu, B. J. Jung, J. Ban, I. H. Banos
Format:	Artigo
Jezik:	Inglês
Izdano:	American Geophysical Union (AGU) 2025-12-01
Serija:	Journal of Advances in Modeling Earth Systems
Teme:	variational data assimilation global numerical weather prediction
Online pristup:	https://doi.org/10.1029/2025MS005183
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