GEOS-5 Seasonal Forecast System: ENSO Prediction Skill and Bias

The GEOS-5 AOGCM known as S2S-1.0 has been in service from June 2012 through January 2018 (Borovikov et al. 2017). The atmospheric component of S2S-1.0 is Fortuna-2.5, the same that was used for the Modern-Era Retrospective Analysis for Research and Applications (MERRA), but with adjusted parameteri...

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Main Authors: Marshak, Jelena, Borovikov, Anna, Kovach, Robin
Format: Other/Unknown Material
Language:unknown
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/2060/20180000527
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record_format openpolar
spelling ftnasantrs:oai:casi.ntrs.nasa.gov:20180000527 2023-05-15T18:17:26+02:00 GEOS-5 Seasonal Forecast System: ENSO Prediction Skill and Bias Marshak, Jelena Borovikov, Anna Kovach, Robin Unclassified, Unlimited, Publicly available January 7, 2018 application/pdf http://hdl.handle.net/2060/20180000527 unknown Document ID: 20180000527 http://hdl.handle.net/2060/20180000527 Copyright, Public use permitted CASI Geosciences (General) GSFC-E-DAA-TN51210 AMS Annual Meeting; 7-11 Jan. 2018; Austin, TX; United States 2018 ftnasantrs 2019-07-20T23:21:04Z The GEOS-5 AOGCM known as S2S-1.0 has been in service from June 2012 through January 2018 (Borovikov et al. 2017). The atmospheric component of S2S-1.0 is Fortuna-2.5, the same that was used for the Modern-Era Retrospective Analysis for Research and Applications (MERRA), but with adjusted parameterization of moist processes and turbulence. The ocean component is the Modular Ocean Model version 4 (MOM4). The sea ice component is the Community Ice CodE, version 4 (CICE). The land surface model is a catchment-based hydrological model coupled to the multi-layer snow model. The AGCM uses a Cartesian grid with a 1 deg 1.25 deg horizontal resolution and 72 hybrid vertical levels with the upper most level at 0.01 hPa. OGCM nominal resolution of the tripolar grid is 1/2 deg, with a meridional equatorial refinement to 1/4 deg. In the coupled model initialization, selected atmospheric variables are constrained with MERRA. The Goddard Earth Observing System integrated Ocean Data Assimilation System (GEOS-iODAS) is used for both ocean state and sea ice initialization. SST, T and S profiles and sea ice concentration were assimilated. Other/Unknown Material Sea ice NASA Technical Reports Server (NTRS) Fortuna ENVELOPE(-58.467,-58.467,-62.150,-62.150) Merra ENVELOPE(12.615,12.615,65.816,65.816)
institution Open Polar
collection NASA Technical Reports Server (NTRS)
op_collection_id ftnasantrs
language unknown
topic Geosciences (General)
spellingShingle Geosciences (General)
Marshak, Jelena
Borovikov, Anna
Kovach, Robin
GEOS-5 Seasonal Forecast System: ENSO Prediction Skill and Bias
topic_facet Geosciences (General)
description The GEOS-5 AOGCM known as S2S-1.0 has been in service from June 2012 through January 2018 (Borovikov et al. 2017). The atmospheric component of S2S-1.0 is Fortuna-2.5, the same that was used for the Modern-Era Retrospective Analysis for Research and Applications (MERRA), but with adjusted parameterization of moist processes and turbulence. The ocean component is the Modular Ocean Model version 4 (MOM4). The sea ice component is the Community Ice CodE, version 4 (CICE). The land surface model is a catchment-based hydrological model coupled to the multi-layer snow model. The AGCM uses a Cartesian grid with a 1 deg 1.25 deg horizontal resolution and 72 hybrid vertical levels with the upper most level at 0.01 hPa. OGCM nominal resolution of the tripolar grid is 1/2 deg, with a meridional equatorial refinement to 1/4 deg. In the coupled model initialization, selected atmospheric variables are constrained with MERRA. The Goddard Earth Observing System integrated Ocean Data Assimilation System (GEOS-iODAS) is used for both ocean state and sea ice initialization. SST, T and S profiles and sea ice concentration were assimilated.
format Other/Unknown Material
author Marshak, Jelena
Borovikov, Anna
Kovach, Robin
author_facet Marshak, Jelena
Borovikov, Anna
Kovach, Robin
author_sort Marshak, Jelena
title GEOS-5 Seasonal Forecast System: ENSO Prediction Skill and Bias
title_short GEOS-5 Seasonal Forecast System: ENSO Prediction Skill and Bias
title_full GEOS-5 Seasonal Forecast System: ENSO Prediction Skill and Bias
title_fullStr GEOS-5 Seasonal Forecast System: ENSO Prediction Skill and Bias
title_full_unstemmed GEOS-5 Seasonal Forecast System: ENSO Prediction Skill and Bias
title_sort geos-5 seasonal forecast system: enso prediction skill and bias
publishDate 2018
url http://hdl.handle.net/2060/20180000527
op_coverage Unclassified, Unlimited, Publicly available
long_lat ENVELOPE(-58.467,-58.467,-62.150,-62.150)
ENVELOPE(12.615,12.615,65.816,65.816)
geographic Fortuna
Merra
geographic_facet Fortuna
Merra
genre Sea ice
genre_facet Sea ice
op_source CASI
op_relation Document ID: 20180000527
http://hdl.handle.net/2060/20180000527
op_rights Copyright, Public use permitted
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