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Dynamics and spatio-temporal variability of the Mid-Atlantic Bight Cold Pool

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TitleInfo
Title
Dynamics and spatio-temporal variability of the Mid-Atlantic Bight Cold Pool
Name (type = personal)
NamePart (type = family)
Chen
NamePart (type = given)
Zhuomin
NamePart (type = date)
1990-
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Zhuomin Chen
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
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Chant
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Robert J.
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Robert J. Chant
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Advisory Committee
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chair
Name (type = personal)
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Curchitser
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Enrique N.
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Enrique N. Curchitser
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Advisory Committee
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internal member
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NamePart (type = family)
Kohut
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Josh
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Josh Kohut
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Advisory Committee
Role
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internal member
Name (type = personal)
NamePart (type = family)
He
NamePart (type = given)
Ruoying
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Ruoying He
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
School of Graduate Studies
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
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2018-10
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2018
Place
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xx
DateCreated (encoding = w3cdtf)
2018
Language
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eng
Abstract (type = abstract)
The Mid-Atlantic Bight (MAB) Cold Pool is a bottom-trapped cold (lower than 10 °C) and fresh (lower than 34 psu) water mass, that is isolated from the surface by the seasonal thermocline, and is located over the mid- and outer-shelf of the MAB. It has been recognized that the Cold Pool plays an important role in impacting the along-shelf and across-shelf seasonal and interannual variations of temperature, salinity, sea surface slope, and exchange of heat and salt. Environmentally driven changes in habitats, have been shown to have a first order impact on the MAB ecosystem. For example, spatio-temporal variability of the Cold Pool exerts strong influence on the recruitment and settlement of several cold-temperatures fish species in the MAB ecosystem.

Following the Cold Pool definition, we put forward a method that includes three criteria to capture and quantify the Cold Pool characteristics, based on a 50-year (1958-2007) high-resolution regional ocean model hindcast simulation. The seasonal climatology of the Cold Pool and its properties are investigated during its onset - peak - decline cycle. Three stages of the Cold Pool event are defined according to its evolving status and characteristics. The cores of the Cold Pool usually travel along the 60-m isobath starting south of the New England shelf to the Hudson Shelf Valley at a speed of approximately 2 cm/s. The depth-averaged heat budget of the near-bottom water column (below 30-m depth) over the MAB and Georges Bank is investigated to compare the relative contribution between the vertical diffusion from the surface layer and advection during strong and weak Cold Pool years. Possible origins of the Cold Pool are investigated by performing a lead-lag correlation analysis. Results suggest that the Cold Pool originates not only from local remnants of winter water near the Nantucket Shoals, but has an upstream source traveling in the spring time from the southwestern flank of the GB along the 80-m isobath.

The interannual variability of the Cold Pool and summer progressions are also investigated. Results show that the Cold Pool exhibits significant year-to-year variability in the state variables (persistence time, volume and temperature), spatial distribution and the equatorward progression. Based on the persistence time, volume and volume-averaged temperature, a Cold Pool Index (CPI) is defined and computed in order to represent the strength of the Cold Pool. Anomalous strong and weak years are investigated using a composite analysis according to the CPI values. The volume-averaged heat budget of the Cold Pool region between strong and weak years is investigated. Results suggest that abnormal warming/cooling from initial temperature and horizontal advection drives the interannual variability in temperature. The depth-averaged temperature anomaly in the Cold Pool region is largely determined by the initial temperature anomaly in the early spring, suggesting a potential for seasonal predictability.

Statistical relationships between the Cold Pool temperature and large-scale oceanic and atmospheric processes in the Northwest Atlantic Ocean are investigated. The relationship between the Cold Pool temperature and the north-south shift of the Gulf Stream position are investigated. Results shows that the spring Cold Pool temperature has a significant positive correlation with the annual Gulf Stream index. Besides, the fall Gulf Stream position is significantly correlated with the Cold Pool temperature in the following spring, enhancing the use of the fall Gulf Stream position as a leading indicator of the Cold Pool temperature. The Cold Pool temperature also has a positive response to the winter NAO, with the Cold Pool temperature lagging the NAO by approximately 2 years. The possible mechanistic link between the Cold Pool temperature, Gulf Stream position and the NAO are discussed.
Subject (authority = RUETD)
Topic
Oceanography
Subject (authority = LCSH)
Topic
Mid-Atlantic Bight—Measurement
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Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
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Title
School of Graduate Studies Electronic Theses and Dissertations
Identifier (type = local)
rucore10001600001
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ETD_9285
Identifier (type = doi)
doi:10.7282/T3959N6K
PhysicalDescription
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electronic resource
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application/pdf
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text/xml
Extent
1 online resource (xxv, 127 pages : illustrations)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Zhuomin Chen
Location
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NjNbRU
Genre (authority = ExL-Esploro)
ETD doctoral
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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Chen
GivenName
Zhuomin
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2018-10-01 00:56:36
AssociatedEntity
Name
Zhuomin Chen
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Affiliation
Rutgers University. School of Graduate Studies
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Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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Type
Embargo
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2018-10-31
DateTime (encoding = w3cdtf); (qualifier = exact); (point = end)
2019-10-31
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after October 31st, 2019.
Copyright
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Copyright protected
Availability
Status
Open
Reason
Permission or license
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