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Mid Atlantic bight: coastal upwelling and the offshore wind environment

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TitleInfo
Title
Mid Atlantic bight: coastal upwelling and the offshore wind environment
Name (type = personal)
NamePart (type = family)
Murphy
NamePart (type = given)
Sarah
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Sarah Murphy
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Miles
NamePart (type = given)
Travis N
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Travis N Miles
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Advisory Committee
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chair
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NamePart (type = family)
Kohut
NamePart (type = given)
Josh
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Josh Kohut
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Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Oliver
NamePart (type = given)
Matthew
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Matthew Oliver
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
Genre (authority = ExL-Esploro)
ETD graduate
OriginInfo
DateCreated (qualifier = exact); (encoding = w3cdtf); (keyDate = yes)
2021
DateOther (type = degree); (qualifier = exact); (encoding = w3cdtf)
2021-01
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2021
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Abstract (type = abstract)
The Mid Atlantic Bight (MAB) is a unique environment that supports diverse ecosystems, contains complex oceanographic features, and is located near dense centers of human population. A key component of the MAB shelf that affects its ecosystems and coastal communities is the Cold Pool. This cold-water mass develops below the seasonal thermocline from remnant winter water and remains present in the mid to outer shelf throughout the summer. The Cold Pool is the source for coastal upwelling, which is focused upon in this thesis as a unique oceanographic feature of the MAB that has implications for stakeholder groups like fisheries and offshore wind. Upwelling is important to coastal regions around the world and is linked with hypoxic bottom conditions and influences atmospheric circulation in the MAB. Coastal Upwelling was previously defined by Glenn et al. (2004) as a difference between onshore and offshore sea surface temperature (SST) of at least 2°C. Using this definition, we can describe coastal upwelling events, both in size and duration from satellite SST fields.

This study involved the use of newly available high resolution GOES-16 SST for the observation of coastal upwelling in the MAB. Locally focused cloud-correcting methods, referred to as the Spike Filter (SF), were developed for GOES SST in order to retain upwelling pixels. The Spike Filter (SF) method, greatly increased SST coverage of the coastal zone of the MAB by retaining more SST measurements than the aggressive cloud correcting algorithm (Quality Filter) provided by NOAA. DINEOF (Alvera-Azcárate et al. 2009) was then used to statistically gap-fill missing data to complete the GOES SST fields. GOES SF DINEOF SST approximately doubled the number of detected upwelling days compared to MUR SST. The longest upwelling event detected in GOES SF DINEOF persisted for over 17 days which is longer than the maximum outlier previously observed using 9 years of AVHRR measurements (Glenn et al. 2004). These observations suggest that MAB upwelling may be occurring more persistently, rather than as a series of short episodic events, and they can be more readily observed with continuous GOES SST data. Clear detection of the timing and duration of upwelling events is important as it provides estimates for ecological and physical responses in the MAB. GOES SST is valuable for the detection of upwelling in the MAB and should be adapted for application in ocean and atmospheric modeling.

GOES SF DINEOF SST was then used as part of an atmospheric analysis to test the sensitivity of the Rutgers Weather Research and Forecasting Model (RU-WRF) to different ocean surface boundary conditions. Three SST products, varying in resolution and their ability to capture upwelling, were chosen for this analysis. This analysis demonstrated that there is a difference in RU-WRF forecasted wind speeds at a location in the NJ offshore wind energy using different SSTs during a week-long upwelling event. Forecasted wind speeds at turbine hub height varied in both the timing of wind speed changes and the total magnitude, which equate to differences in the potential wind power production for an offshore wind turbine. The accuracy of forecasted winds in this area affect the ability of the wind farm to correctly match electricity supply to grid demand. This analysis makes the case for further investigations over a longer time period that can be validated with newly available data such as the Atlantic shores LIDAR buoy to determine what SST provides the most accurate ocean conditions and wind forecasts.
Subject (authority = local)
Topic
Coastal upwelling
Subject (authority = RUETD)
Topic
Oceanography
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_11388
PhysicalDescription
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InternetMediaType
application/pdf
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text/xml
Extent
1 online resource (xii, 62 pages) : illustrations
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
RelatedItem (type = host)
TitleInfo
Title
School of Graduate Studies Electronic Theses and Dissertations
Identifier (type = local)
rucore10001600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/t3-grcm-z596
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Murphy
GivenName
Sarah
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2020-12-29 15:01:16
AssociatedEntity
Name
Sarah Murphy
Role
Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
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Type
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.
Copyright
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Copyright protected
Availability
Status
Open
Reason
Permission or license
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2021-01-07T04:22:19
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2021-01-07T04:22:19
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