The Development of the New GEOS-MITgcm Atmosphere-Ocean Model for Coupled Data Assimilation System
During the last two plus decades, The Goddard Earth Observing System (GEOS) and Massachusetts Institute of Technology (MIT) modeling groups have developed, respectively, atmosphere-only and ocean-only global general circulation models. These two models (GEOS and MITgcm) have demonstrated their data...
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ftnasantrs:oai:casi.ntrs.nasa.gov:20180007566 2023-05-15T18:18:43+02:00 The Development of the New GEOS-MITgcm Atmosphere-Ocean Model for Coupled Data Assimilation System Forget, Gael Trayanov, Atanas Hill, Chris Heimbach, Patrick Strobach, Ehud Campin, Jean-Michel Molod, Andrea Putman, William Menemenlis, Dimitris Unclassified, Unlimited, Publicly available October 2018 application/pdf http://hdl.handle.net/2060/20180007566 unknown Document ID: 20180007566 http://hdl.handle.net/2060/20180007566 Copyright, Use by or on behalf of the U.S. Government permitted CASI Meteorology and Climatology GSFC-E-DAA-TN62542 Kinneret Limnological Laboratory (KLL) Research Seminar; 18 Oct. 2018; Hukok; Israel 2018 ftnasantrs 2019-07-20T23:09:04Z During the last two plus decades, The Goddard Earth Observing System (GEOS) and Massachusetts Institute of Technology (MIT) modeling groups have developed, respectively, atmosphere-only and ocean-only global general circulation models. These two models (GEOS and MITgcm) have demonstrated their data assimilation capabilities with the recent releases of the Modern Era Reanalysis for Research Applications, Version 2 (MERRA-2) atmospheric reanalysis and the Estimating the Circulation and Climate of the Ocean, Version 4 (ECCO-v4) ocean (and sea ice) state estimate. Independently, the two modeling groups have also produced global atmosphere-only and ocean-only simulations with km-scale grid spacing which proved invaluable for process studies and for the development of satellite and in-situ sampling strategies.Recently, a new effort has been made to couple these two models and to leverage their data-assimilation and high resolution capabilities (i.e., eddy-permitting ocean, cloud-permitting atmosphere). The focus in the model development is put on sub-seasonal to decadal time scales. In this talk, I discuss the new coupled model and present some first coupled simulation results. This will include a high-resolution coupled GEOS-MIT simulation, whereby we have coupled a cubed-sphere-720 (~ 1/8) configuration of the GEOS atmosphere to a lat-lon-cap-1080 (~ 1/12) configuration of the MIT ocean. We compare near-surface diagnostics of this fully coupled ocean-atmosphere set-up to equivalent atmosphere-only and ocean-only simulations. In the comparisons we focus in particular on the differences in air-sea interactions between sea surface temperature (SST) and wind for the coupled and uncoupled simulations. Other/Unknown Material Sea ice NASA Technical Reports Server (NTRS) 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 |
Meteorology and Climatology |
spellingShingle |
Meteorology and Climatology Forget, Gael Trayanov, Atanas Hill, Chris Heimbach, Patrick Strobach, Ehud Campin, Jean-Michel Molod, Andrea Putman, William Menemenlis, Dimitris The Development of the New GEOS-MITgcm Atmosphere-Ocean Model for Coupled Data Assimilation System |
topic_facet |
Meteorology and Climatology |
description |
During the last two plus decades, The Goddard Earth Observing System (GEOS) and Massachusetts Institute of Technology (MIT) modeling groups have developed, respectively, atmosphere-only and ocean-only global general circulation models. These two models (GEOS and MITgcm) have demonstrated their data assimilation capabilities with the recent releases of the Modern Era Reanalysis for Research Applications, Version 2 (MERRA-2) atmospheric reanalysis and the Estimating the Circulation and Climate of the Ocean, Version 4 (ECCO-v4) ocean (and sea ice) state estimate. Independently, the two modeling groups have also produced global atmosphere-only and ocean-only simulations with km-scale grid spacing which proved invaluable for process studies and for the development of satellite and in-situ sampling strategies.Recently, a new effort has been made to couple these two models and to leverage their data-assimilation and high resolution capabilities (i.e., eddy-permitting ocean, cloud-permitting atmosphere). The focus in the model development is put on sub-seasonal to decadal time scales. In this talk, I discuss the new coupled model and present some first coupled simulation results. This will include a high-resolution coupled GEOS-MIT simulation, whereby we have coupled a cubed-sphere-720 (~ 1/8) configuration of the GEOS atmosphere to a lat-lon-cap-1080 (~ 1/12) configuration of the MIT ocean. We compare near-surface diagnostics of this fully coupled ocean-atmosphere set-up to equivalent atmosphere-only and ocean-only simulations. In the comparisons we focus in particular on the differences in air-sea interactions between sea surface temperature (SST) and wind for the coupled and uncoupled simulations. |
format |
Other/Unknown Material |
author |
Forget, Gael Trayanov, Atanas Hill, Chris Heimbach, Patrick Strobach, Ehud Campin, Jean-Michel Molod, Andrea Putman, William Menemenlis, Dimitris |
author_facet |
Forget, Gael Trayanov, Atanas Hill, Chris Heimbach, Patrick Strobach, Ehud Campin, Jean-Michel Molod, Andrea Putman, William Menemenlis, Dimitris |
author_sort |
Forget, Gael |
title |
The Development of the New GEOS-MITgcm Atmosphere-Ocean Model for Coupled Data Assimilation System |
title_short |
The Development of the New GEOS-MITgcm Atmosphere-Ocean Model for Coupled Data Assimilation System |
title_full |
The Development of the New GEOS-MITgcm Atmosphere-Ocean Model for Coupled Data Assimilation System |
title_fullStr |
The Development of the New GEOS-MITgcm Atmosphere-Ocean Model for Coupled Data Assimilation System |
title_full_unstemmed |
The Development of the New GEOS-MITgcm Atmosphere-Ocean Model for Coupled Data Assimilation System |
title_sort |
development of the new geos-mitgcm atmosphere-ocean model for coupled data assimilation system |
publishDate |
2018 |
url |
http://hdl.handle.net/2060/20180007566 |
op_coverage |
Unclassified, Unlimited, Publicly available |
long_lat |
ENVELOPE(12.615,12.615,65.816,65.816) |
geographic |
Merra |
geographic_facet |
Merra |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
CASI |
op_relation |
Document ID: 20180007566 http://hdl.handle.net/2060/20180007566 |
op_rights |
Copyright, Use by or on behalf of the U.S. Government permitted |
_version_ |
1766195379082100736 |