The Greenland Sea Upper Ocean Variability As Simulated By Models

Upper ocean conditions in the Greenland Sea are investigated for detecting preconditioning of the water column for deep convection and how these conditions are simulated in the models. Observations indicate that periods of intense deep-water formation were also associated with dense upper ocean wate...

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Main Authors: S. Hakkinen, F. Dupont, M. Karcher, F. Kauker, D. Worthen, J. Zhang
Other Authors: The Pennsylvania State University CiteSeerX Archives
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Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.543.650
http://efdl.cims.nyu.edu/project_aomip/publications/jgr_2006/hakkinen_greenland.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.543.650 2023-05-15T15:06:11+02:00 The Greenland Sea Upper Ocean Variability As Simulated By Models S. Hakkinen F. Dupont M. Karcher F. Kauker D. Worthen J. Zhang The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.543.650 http://efdl.cims.nyu.edu/project_aomip/publications/jgr_2006/hakkinen_greenland.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.543.650 http://efdl.cims.nyu.edu/project_aomip/publications/jgr_2006/hakkinen_greenland.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://efdl.cims.nyu.edu/project_aomip/publications/jgr_2006/hakkinen_greenland.pdf text ftciteseerx 2016-01-08T11:11:10Z Upper ocean conditions in the Greenland Sea are investigated for detecting preconditioning of the water column for deep convection and how these conditions are simulated in the models. Observations indicate that periods of intense deep-water formation were also associated with dense upper ocean water masses, hence we focus on the upper ocean hydrography. We chose to analyze properties at 200m which reside below summer mixed layer and carry the deep mixing signal from winter. Numerical simulations from 4 different models are analyzed, all of which have been subjected to forcing as specified by the Arctic Ocean Model Intercomparison Project (AOMIP). Models have varying degree of success in simulating the upper ocean properties such as very saline and dense water masses in the 1950s, 1960s and 1970s as found in the observations. However, there are several characteristics apparent in the observations which are not captured by the models such as the topographic imprint in the hydrographic variability. The primary reasons for discrepancies between the models (and observations) are related to the advection and mixing of water masses: First, the deficiencies arise from the upstream hydrographic properties (and the transport) which propagate into the Text Arctic Arctic Ocean Greenland Greenland Sea Unknown Arctic Arctic Ocean Greenland
institution Open Polar
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language English
description Upper ocean conditions in the Greenland Sea are investigated for detecting preconditioning of the water column for deep convection and how these conditions are simulated in the models. Observations indicate that periods of intense deep-water formation were also associated with dense upper ocean water masses, hence we focus on the upper ocean hydrography. We chose to analyze properties at 200m which reside below summer mixed layer and carry the deep mixing signal from winter. Numerical simulations from 4 different models are analyzed, all of which have been subjected to forcing as specified by the Arctic Ocean Model Intercomparison Project (AOMIP). Models have varying degree of success in simulating the upper ocean properties such as very saline and dense water masses in the 1950s, 1960s and 1970s as found in the observations. However, there are several characteristics apparent in the observations which are not captured by the models such as the topographic imprint in the hydrographic variability. The primary reasons for discrepancies between the models (and observations) are related to the advection and mixing of water masses: First, the deficiencies arise from the upstream hydrographic properties (and the transport) which propagate into the
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author S. Hakkinen
F. Dupont
M. Karcher
F. Kauker
D. Worthen
J. Zhang
spellingShingle S. Hakkinen
F. Dupont
M. Karcher
F. Kauker
D. Worthen
J. Zhang
The Greenland Sea Upper Ocean Variability As Simulated By Models
author_facet S. Hakkinen
F. Dupont
M. Karcher
F. Kauker
D. Worthen
J. Zhang
author_sort S. Hakkinen
title The Greenland Sea Upper Ocean Variability As Simulated By Models
title_short The Greenland Sea Upper Ocean Variability As Simulated By Models
title_full The Greenland Sea Upper Ocean Variability As Simulated By Models
title_fullStr The Greenland Sea Upper Ocean Variability As Simulated By Models
title_full_unstemmed The Greenland Sea Upper Ocean Variability As Simulated By Models
title_sort greenland sea upper ocean variability as simulated by models
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.543.650
http://efdl.cims.nyu.edu/project_aomip/publications/jgr_2006/hakkinen_greenland.pdf
geographic Arctic
Arctic Ocean
Greenland
geographic_facet Arctic
Arctic Ocean
Greenland
genre Arctic
Arctic Ocean
Greenland
Greenland Sea
genre_facet Arctic
Arctic Ocean
Greenland
Greenland Sea
op_source http://efdl.cims.nyu.edu/project_aomip/publications/jgr_2006/hakkinen_greenland.pdf
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http://efdl.cims.nyu.edu/project_aomip/publications/jgr_2006/hakkinen_greenland.pdf
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