The Atmosphere-Ocean Interface Layer of NASA's Goddard Earth Observing System Model and Data Assimilation System Volume 51

The Goddard Earth Observing System (GEOS) general circulation model (GCM) includes modules for sea surface temperature (SST) diurnal warming and cool-skin layers. To support the application of a coupled atmosphere-ocean data assimilation capability, the GCM needs to be flexible enough to support bot...

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Main Authors: Koster, Randal D., Akella, Santha R., Suarez, Max
Format: Other/Unknown Material
Language:unknown
Published: 2018
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Online Access:http://hdl.handle.net/2060/20180005350
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spelling ftnasantrs:oai:casi.ntrs.nasa.gov:20180005350 2023-05-15T18:18:41+02:00 The Atmosphere-Ocean Interface Layer of NASA's Goddard Earth Observing System Model and Data Assimilation System Volume 51 Koster, Randal D. Akella, Santha R. Suarez, Max Unclassified, Unlimited, Publicly available July 2018 application/pdf http://hdl.handle.net/2060/20180005350 unknown Document ID: 20180005350 http://hdl.handle.net/2060/20180005350 Copyright, Use by or on behalf of the U.S. Government permitted CASI Geosciences (General) NASA/TM-2018-104606/VOL15 GSFC-E-DAA-TN59294 2018 ftnasantrs 2019-07-21T06:03:33Z The Goddard Earth Observing System (GEOS) general circulation model (GCM) includes modules for sea surface temperature (SST) diurnal warming and cool-skin layers. To support the application of a coupled atmosphere-ocean data assimilation capability, the GCM needs to be flexible enough to support both coupled atmosphere ocean general circulation model (AOGCM) and atmosphere-only (AGCM) configurations, with only minor configuration changes at the user interface. This document presents a formulation of an atmosphere-ocean interface layer (AOIL) that serves this purpose. Previous work by Akella et al. (2017) described a version of a model for near-surface temperature variations, including both both diurnal warming and cool-skin effects, that has been used since 2017 in the near-real-time GEOS FP (forward processing) weather analysis and forecasting system. The diurnal cycle of SST in that version of the GEOS atmospheric data assimilation system (ADAS) undergoes a sharp decay in the late afternoon (local time). The updated AOIL presented here includes a modification of the similarity function used in the diurnal warming model. Results from offline model runs illustrate an improvement in the near-surface (less than 0:5m depth) diurnal cycle compared to the original formulation. The new formulation requires minimal parameter tuning, and the improvements are robust across long (several month) simulation periods. This new model formulation, however, retains some deficiences from the previous module, such as a small warm bias in calm wind conditions for water depths below 1m. Our future work would include surface salinification and sea-ice into the AOIL. Other/Unknown Material Sea ice NASA Technical Reports Server (NTRS)
institution Open Polar
collection NASA Technical Reports Server (NTRS)
op_collection_id ftnasantrs
language unknown
topic Geosciences (General)
spellingShingle Geosciences (General)
Koster, Randal D.
Akella, Santha R.
Suarez, Max
The Atmosphere-Ocean Interface Layer of NASA's Goddard Earth Observing System Model and Data Assimilation System Volume 51
topic_facet Geosciences (General)
description The Goddard Earth Observing System (GEOS) general circulation model (GCM) includes modules for sea surface temperature (SST) diurnal warming and cool-skin layers. To support the application of a coupled atmosphere-ocean data assimilation capability, the GCM needs to be flexible enough to support both coupled atmosphere ocean general circulation model (AOGCM) and atmosphere-only (AGCM) configurations, with only minor configuration changes at the user interface. This document presents a formulation of an atmosphere-ocean interface layer (AOIL) that serves this purpose. Previous work by Akella et al. (2017) described a version of a model for near-surface temperature variations, including both both diurnal warming and cool-skin effects, that has been used since 2017 in the near-real-time GEOS FP (forward processing) weather analysis and forecasting system. The diurnal cycle of SST in that version of the GEOS atmospheric data assimilation system (ADAS) undergoes a sharp decay in the late afternoon (local time). The updated AOIL presented here includes a modification of the similarity function used in the diurnal warming model. Results from offline model runs illustrate an improvement in the near-surface (less than 0:5m depth) diurnal cycle compared to the original formulation. The new formulation requires minimal parameter tuning, and the improvements are robust across long (several month) simulation periods. This new model formulation, however, retains some deficiences from the previous module, such as a small warm bias in calm wind conditions for water depths below 1m. Our future work would include surface salinification and sea-ice into the AOIL.
format Other/Unknown Material
author Koster, Randal D.
Akella, Santha R.
Suarez, Max
author_facet Koster, Randal D.
Akella, Santha R.
Suarez, Max
author_sort Koster, Randal D.
title The Atmosphere-Ocean Interface Layer of NASA's Goddard Earth Observing System Model and Data Assimilation System Volume 51
title_short The Atmosphere-Ocean Interface Layer of NASA's Goddard Earth Observing System Model and Data Assimilation System Volume 51
title_full The Atmosphere-Ocean Interface Layer of NASA's Goddard Earth Observing System Model and Data Assimilation System Volume 51
title_fullStr The Atmosphere-Ocean Interface Layer of NASA's Goddard Earth Observing System Model and Data Assimilation System Volume 51
title_full_unstemmed The Atmosphere-Ocean Interface Layer of NASA's Goddard Earth Observing System Model and Data Assimilation System Volume 51
title_sort atmosphere-ocean interface layer of nasa's goddard earth observing system model and data assimilation system volume 51
publishDate 2018
url http://hdl.handle.net/2060/20180005350
op_coverage Unclassified, Unlimited, Publicly available
genre Sea ice
genre_facet Sea ice
op_source CASI
op_relation Document ID: 20180005350
http://hdl.handle.net/2060/20180005350
op_rights Copyright, Use by or on behalf of the U.S. Government permitted
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