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Coastal ocean modeling using variational methods for freshwater dispersal study, data assimilation and observing system design

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TypeOfResource
Text
TitleInfo (ID = T-1)
Title
Coastal ocean modeling using variational methods for freshwater dispersal study, data assimilation and observing system design
Identifier
ETD_1958
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051597
Language
LanguageTerm (authority = ISO639-2); (type = code)
eng
Genre (authority = marcgt)
theses
Subject (ID = SBJ-1); (authority = RUETD)
Topic
Oceanography
Subject (ID = SBJ-1); (authority = ETD-LCSH)
Topic
Oceanography--Observations--Computer simulation
Subject (ID = SBJ-1); (authority = ETD-LCSH)
Topic
Oceanography--Computer simulation
Abstract
Coastal oceans as highly productive components of the global ocean play crucial roles in global carbon cycle and climate change. The wide continental shelf off US east coast is a typical coastal environment that serves as a buffer zone between human activities and open oceans. This thesis investigates the dispersal pattern of Hudson River outflow in the New York Bight (NYB). It applies adjoint sensitivity, Incremental Strong Constraint 4D Variational Data Assimilation (IS4DVAR) and representer-based optimal observation to integrate coastal ocean modeling and observation capabilities. Firstly, analysis of a 2-year model simulation identifies three freshwater pathways: along (i) the New Jersey coast, (ii) the Long Island coast, and (iii) a Mid-shelf Pathway. It is shown that the New Jersey coast Pathway dominates winter months and the Mid-shelf Pathway summer months. It is also demonstrated that wind is the primary force for spreading freshwater into mid- and outer-shelf and presence of the Hudson Valley strengthens freshwater recirculation in the New York Apex area. Secondly, the Constituent-oriented Age and Residence time Theory is implemented to simulate the age and residence time of the Hudson River plume. Analysis shows strong seasonality of surface mean age and residence time consistent with seasonal variation of the circulation. Time series analysis shows that spatial and temporal variations of the time scales in NYB are largely buoyancy- and wind-driven. Thirdly, adjoint sensitivity analysis applied on the New Jersey inner shelf identifies water sources and quantitatively compares the contributions of different variables to a chosen oceanic process. Fourthly, IS4DVAR is used to assimilate observational data collected by all instrument types during spring 2006. It reduces the model-observation misfit by 60% and improves forecast of temperature, salinity and velocity. Finally, a representer-based optimal observation system is applied to identify the optimal sampling locations for predicting salt transport within the Hudson Shelf Valley. The system is then used to compare the influence area of existing observations. This work prototypes the integration of observation and modeling in a coastal environment and demonstrates the use of traditional and variational tools to reveal the physical processes in a shelf region.
PhysicalDescription
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electronic resource
Extent
xxii, 213 p. : ill.
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application/pdf
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Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references (p. 197-210)
Note (type = statement of responsibility)
by Weifeng Zhang
Name (ID = NAME-1); (type = personal)
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Zhang
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Weifeng
NamePart (type = date)
1979-
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author
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Weifeng Zhang
Name (ID = NAME-2); (type = personal)
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Wilkin
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John
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chair
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Advisory Committee
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John Wilkin
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Haidvogel
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Dale
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internal member
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Advisory Committee
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Dale Haidvogel
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NamePart (type = family)
Levin
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Julia
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Advisory Committee
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Julia Levin
Name (ID = NAME-5); (type = personal)
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Zavala-Garay
NamePart (type = given)
Javier
Role
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internal member
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Advisory Committee
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Javier Zavala-Garay
Name (ID = NAME-6); (type = personal)
NamePart (type = family)
Moore
NamePart (type = given)
Andrew
Role
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outside member
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Advisory Committee
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Andrew Moore
Name (ID = NAME-1); (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB); (type = )
degree grantor
Name (ID = NAME-2); (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB); (type = )
school
OriginInfo
DateCreated (point = ); (qualifier = exact)
2009
DateOther (qualifier = exact); (type = degree)
2009-10
Place
PlaceTerm (type = code)
xx
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3NV9JGX
Genre (authority = ExL-Esploro)
ETD doctoral
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The author owns the copyright to this work.
Copyright
Status
Copyright protected
Availability
Status
Open
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Type
Permission or license
Detail
Non-exclusive ETD license
AssociatedObject (AUTHORITY = rulib); (ID = 1)
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License
Name
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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application/x-tar
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