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GEOS S2S Version 3: The New NASA/GMAO High Resolution Seasonal Prediction SystemThe NASA/Goddard Global Modeling and Assimilation Office (GMAO) released Version 2 of the Subseasonal to Seasonal (GEOS-S2S) forecast system in the fall of 2017, and it has been producing near-real time subseasonal to seasonal forecasts and a weakly coupled atmosphere-ocean data assimilation record since then. A new version of the coupled modeling and analysis system (Version 3) was released by the GMAO at the end of 2019. The new version runs at higher oceanic resolution than the previous (approximately 1/2 degree for the atmosphere, 1/4 degree for the ocean), and includes interactive earth system model components not typically present in seasonal prediction systems (two moment cloud microphysics for aerosol indirect effect and an interactive aerosol model). The weakly coupled atmosphere-ocean data assimilation system now includes assimilation of sea surface salinity, that has been shown to result in improved ocean mixed layer simulation and ENSO prediction skill.
Document ID
20200000684
Acquisition Source
Goddard Space Flight Center
Document Type
Presentation
Authors
Molod, Andrea
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Akella, Santha
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Andrews, Lauren
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Arnold, Nathan
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Barahona, Donifan
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Borovikov, Anna
(Science Systems and Applications, Inc. (SSAI) Lanham, MD, United States)
Cullather, Richard
(Maryland Univ. College Park, MD, United States)
Chang, Yehui
(Morgan State Univ. Baltimore, MD, United States)
Hackert, Eric
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Kovach, Robin
(Science Systems and Applications, Inc. (SSAI) Lanham, MD, United States)
Randal, Koster
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Li, Zhao
(Science Systems and Applications, Inc. (SSAI) Lanham, MD, United States)
Lim, Young-Kwon
(Universities Space Research Association (USRA) Greenbelt, MD, United States)
Marshak, Jelena
Nakada, Kazumi
(Science Systems and Applications, Inc. (SSAI) Lanham, MD, United States)
Schubert, Siegfried
(Science Systems and Applications, Inc. (SSAI) Lanham, MD, United States)
Vikhliaev, Yury
(Science Systems and Applications, Inc. (SSAI) Lanham, MD, United States)
Zhao, Bin
(Science Systems and Applications, Inc. (SSAI) Lanham, MD, United States)
Date Acquired
February 3, 2020
Publication Date
January 12, 2020
Subject Category
Geosciences (General)
Report/Patent Number
GSFC-E-DAA-TN77310
Report Number: GSFC-E-DAA-TN77310
Meeting Information
Meeting: American Meteorological Society (AMS) Annual Meeting
Location: Boston, MA
Country: United States
Start Date: January 12, 2020
End Date: January 16, 2020
Sponsors: American Meteorological Society (AMS-HQ)
Distribution Limits
Public
Copyright
Public Use Permitted.
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