Articles | Volume 15, issue 20
https://doi.org/10.5194/gmd-15-7859-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-7859-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
26 Oct 2022
Development and technical paper |
| 26 Oct 2022
| 26 Oct 2022
Data assimilation for the Model for Prediction Across Scales – Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 1.0.0): EnVar implementation and evaluation
National Center for Atmospheric Research, Boulder, Colorado 80301, USA
Chris Snyder
National Center for Atmospheric Research, Boulder, Colorado 80301, USA
Jonathan J. Guerrette
National Center for Atmospheric Research, Boulder, Colorado 80301, USA
Byoung-Joo Jung
National Center for Atmospheric Research, Boulder, Colorado 80301, USA
Junmei Ban
National Center for Atmospheric Research, Boulder, Colorado 80301, USA
Steven Vahl
National Center for Atmospheric Research, Boulder, Colorado 80301, USA
now at: Joint Center for Satellite Data Assimilation, Boulder, USA
National Center for Atmospheric Research, Boulder, Colorado 80301, USA
now at: Shenzhen Institute of Meteorological Innovation, Shenzhen, China
Yannick Trémolet
Joint Center for Satellite Data Assimilation, Boulder, Colorado 80301, USA
Thomas Auligné
Joint Center for Satellite Data Assimilation, Boulder, Colorado 80301, USA
Benjamin Ménétrier
Joint Center for Satellite Data Assimilation, Boulder, Colorado 80301, USA
Anna Shlyaeva
Joint Center for Satellite Data Assimilation, Boulder, Colorado 80301, USA
Stephen Herbener
Joint Center for Satellite Data Assimilation, Boulder, Colorado 80301, USA
Emily Liu
Joint Center for Satellite Data Assimilation, Boulder, Colorado 80301, USA
now at: NOAA National Centers for Environmental Prediction, College Park, USA
Daniel Holdaway
Joint Center for Satellite Data Assimilation, Boulder, Colorado 80301, USA
now at: NASA Goddard Space Flight Center, Greenbelt, USA
Benjamin T. Johnson
Joint Center for Satellite Data Assimilation, Boulder, Colorado 80301, USA
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Cited
7 citations as recorded by crossref.
- Development of Vertical Radar Reflectivity Profiles Based on Lightning Density Using the Geostationary Lightning Mapper Dataset in the Subtropical Region of Brazil T. Mandú et al. 10.3390/rs16203767
- Implementation and Testing of Radar Data Assimilation Capabilities Within the Joint Effort for Data Assimilation Integration Framework With Ensemble Transformation Kalman Filter Coupled With FV3‐LAM Model J. Park et al. 10.1029/2022GL102709
- Impacts of the all-sky assimilation of FY-3D and FY-3E MWHS-2 radiances on analyses and forecasts of Typhoon Muifa (2022) D. Xu et al. 10.1016/j.atmosres.2024.107646
- Incremental analysis update (IAU) in the Model for Prediction Across Scales coupled with the Joint Effort for Data assimilation Integration (MPAS–JEDI 2.0.0) S. Ha et al. 10.5194/gmd-17-4199-2024
- 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 J. Guerrette et al. 10.5194/gmd-16-7123-2023
- Three-dimensional variational assimilation with a multivariate background error covariance for the Model for Prediction Across Scales – Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 2.0.0-beta) B. Jung et al. 10.5194/gmd-17-3879-2024
- JEDI‐Based Three‐Dimensional Ensemble‐Variational Data Assimilation System for Global Aerosol Forecasting at NCEP B. Huang et al. 10.1029/2022MS003232
7 citations as recorded by crossref.
- Development of Vertical Radar Reflectivity Profiles Based on Lightning Density Using the Geostationary Lightning Mapper Dataset in the Subtropical Region of Brazil T. Mandú et al. 10.3390/rs16203767
- Implementation and Testing of Radar Data Assimilation Capabilities Within the Joint Effort for Data Assimilation Integration Framework With Ensemble Transformation Kalman Filter Coupled With FV3‐LAM Model J. Park et al. 10.1029/2022GL102709
- Impacts of the all-sky assimilation of FY-3D and FY-3E MWHS-2 radiances on analyses and forecasts of Typhoon Muifa (2022) D. Xu et al. 10.1016/j.atmosres.2024.107646
- Incremental analysis update (IAU) in the Model for Prediction Across Scales coupled with the Joint Effort for Data assimilation Integration (MPAS–JEDI 2.0.0) S. Ha et al. 10.5194/gmd-17-4199-2024
- 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 J. Guerrette et al. 10.5194/gmd-16-7123-2023
- Three-dimensional variational assimilation with a multivariate background error covariance for the Model for Prediction Across Scales – Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 2.0.0-beta) B. Jung et al. 10.5194/gmd-17-3879-2024
- JEDI‐Based Three‐Dimensional Ensemble‐Variational Data Assimilation System for Global Aerosol Forecasting at NCEP B. Huang et al. 10.1029/2022MS003232
Latest update: 21 Nov 2024
Short summary
JEDI-MPAS 1.0.0, a new data assimilation (DA) system for the MPAS model, was publicly released for community use. This article describes JEDI-MPAS's implementation of the ensemble–variational DA technique and demonstrates its robustness and credible performance by incrementally adding three types of microwave radiances (clear-sky AMSU-A, all-sky AMSU-A, clear-sky MHS) to a non-radiance DA experiment. We intend to periodically release new and improved versions of JEDI-MPAS in upcoming years.
JEDI-MPAS 1.0.0, a new data assimilation (DA) system for the MPAS model, was publicly released...
