Data assimilation for the Model for Prediction Across Scales – Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 2.0.0-beta): ensemble of 3D ensemble-variational (En-3DEnVar) assimilations

Data assimilation for the Model for Prediction Across Scales – Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 2.0.0-beta): ensemble of 3D ensemble-variational (En-3DEnVar) assimilations

<p>An ensemble of 3D ensemble-variational (En-3DEnVar) data assimilations is demonstrated with the Joint Effort for Data assimilation Integration (JEDI) with the Model for Prediction Across Scales – Atmosphere (MPAS-A) (i.e., JEDI-MPAS). Basic software building blocks are reused from previou...

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Bibliographic Details
Main Authors: J. J. Guerrette, Z. Liu, C. Snyder, B.-J. Jung, C. S. Schwartz, J. Ban, S. Vahl, Y. Wu, I. H. Baños, Y. G. Yu, S. Ha, Y. Trémolet, T. Auligné, C. Gas, B. Ménétrier, A. Shlyaeva, M. Miesch, S. Herbener, E. Liu, D. Holdaway, B. T. Johnson
Format: Article
Language:English
Published: Copernicus Publications 2023-12-01
Series:Geoscientific Model Development
Online Access:https://gmd.copernicus.org/articles/16/7123/2023/gmd-16-7123-2023.pdf

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https://gmd.copernicus.org/articles/16/7123/2023/gmd-16-7123-2023.pdf

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