GEOS-5 Earth System Modeling and Data Assimilation: Difference between revisions

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=== GEOS Advanced ADAS: Hybrid Ensemble-Variational Data Assimilation System ===
=== GEOS Advanced ADAS: Hybrid Ensemble-Variational Data Assimilation System ===


In its Forward Processing application, the GMAO atmospheric data assimilation system is configured to exercise a hybrid 4D ensemble-variational variational (4DEnVar) strategy. This system combines the GMAO atmospheric general circulation model [[http://geos5.org/wiki/index.php?title=AGCM_Structure AGCM]] with the jointly-developed GMAO/NCEP Grid-point Statistical Interpolation [http://www.dtcenter.org/com-GSI/users/ GSI] analysis for its hybrid high-resolution analysis, and ensemble square-root filter [[http://journals.ametsoc.org/doi/abs/10.1175/2007MWR2018.1 EnSRF]] of NOAA/ESRL with adaptations by GMAO for handling GEOS.
In its Forward Processing application, the GMAO atmospheric data assimilation system is configured to exercise a hybrid 4D ensemble-variational (4DEnVar) strategy. This system combines the GMAO atmospheric general circulation model [[http://geos5.org/wiki/index.php?title=AGCM_Structure AGCM]] with the jointly-developed GMAO/NCEP Grid-point Statistical Interpolation [http://www.dtcenter.org/com-GSI/users/ GSI] analysis for its hybrid high-resolution analysis, and ensemble square-root filter [[http://journals.ametsoc.org/doi/abs/10.1175/2007MWR2018.1 EnSRF]] of NOAA/ESRL with adaptations by GMAO for handling GEOS.


Further details on the GMAO atmospheric DAS can be found below:
Further details on the GMAO atmospheric DAS can be found below:

Revision as of 03:02, 7 April 2020

The Goddard Earth Observing System Model, Version 5 (GEOS-5) is a system of models integrated using the Earth System Modeling Framework (ESMF). The GEOS-5 Data Assimilation System (GEOS-5 DAS) integrates the GEOS-5 Atmospheric Global Climate Model (GEOS-5 AGCM) with the Gridpoint Statistical Interpolation (GSI) atmospheric analysis developed jointly with NOAA/NCEP/EMC. The GEOS-5 systems are being developed in the GMAO to support NASA's earth science research in data analysis, observing system modeling and design, climate and weather prediction, and basic research.

GEOS-5 is supported by NASA's Modeling Analysis and Prediction (MAP) Program.

News

  • 2 April 2009. Documentation section now has an entry describing GEOS-5 configurations used to support specific missions.
  • 1 November 2006. GEOS-5 AGCM Release 1.0 is now available from the MAP Software Repository. This is the first component released from the GEOS-5 System. Climate simulations and DAS integrations have been undertaken with this release and some results are presented in the Results section of this page. See the Release notes for details of this release.

GEOS-5 Systems

GEOS Advanced ADAS: Hybrid Ensemble-Variational Data Assimilation System

In its Forward Processing application, the GMAO atmospheric data assimilation system is configured to exercise a hybrid 4D ensemble-variational (4DEnVar) strategy. This system combines the GMAO atmospheric general circulation model [AGCM] with the jointly-developed GMAO/NCEP Grid-point Statistical Interpolation GSI analysis for its hybrid high-resolution analysis, and ensemble square-root filter [EnSRF] of NOAA/ESRL with adaptations by GMAO for handling GEOS.

Further details on the GMAO atmospheric DAS can be found below:

  1. [GEOS Hybrid ADAS ]
  2. GEOS ADAS Radiance Monitoring

Documentation for Users and Developers

  1. GEOS GCM Documentation and Access
  2. GEOS User's and Developer's Guides for GEOS GCM
  3. MAPL software
  4. GEOS-5 AGCM Overview
  5. GEOS-5 Brown Bag Seminars
  6. GEOS-5 Software Engineering
  7. GEOS-5 Design Documents
  8. GEOS-5 Configurations for Mission Support
  9. GEOS-5 Configuration for Nature Runs
  10. GEOS-5 Web Services
  11. GEOS-5 Validation/Assimilation Data
  12. GEOS-5 Aerosol Group
  13. Tools
    • RadApp -- An offline instance of the GEOS-5 radiative transfer module
  14. General Settings

System Validation and Evaluation

  1. The September 2010 PIESA/Aerosol Experiments

Glossary