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An open-source software application for drifter trajectory prediction in the mid-Atlantic bight
Descriptive
TitleInfo
Title
An open-source software application for drifter trajectory prediction in the mid-Atlantic bight
Name
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Anarumo
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Joseph
NamePart
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1989
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Joseph Anarumo
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(type = text)
author
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Beaird
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Nicholas
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Nicholas Beaird
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Advisory Committee
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chair
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Miles
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Travis
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Travis Miles
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Advisory Committee
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internal member
Name
(type = personal)
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Kohut
NamePart
(type = given)
Josh
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Josh Kohut
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Advisory Committee
Role
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internal member
Name
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Rutgers University
Role
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degree grantor
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School of Graduate Studies
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school
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Text
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theses
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2020
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2020-10
Language
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English
Abstract
There are several different types of floatables in the ocean. Some of these floating particles or drifters are of high value to people and are worth using resources to track and recover, such as people, boats, or equipment. To recover a drifting particle, the rescue party would need to have some information on where the particle may be located and where it may be headed. Lots of effort in the oceanography world in recent years has gone into providing the kind of data that is invaluable for such a task. There are many ocean and atmospheric models well suited to specific regions, as well as oceanography equipment reporting data that are translated and recorded in a format people can use. Several of these data are now freely available online, and easy to access. We test HF Radar and the regional ocean model Doppio to track a surface drifter and a glider in distress using the particle tracking framework OpenDrift. We found that HFR and Doppio do have some differences in trajectories but mostly agree in the 48-hour simulations. The tools used in this analysis are open source, and a collection of scripts is being made available for interested parties.
Subject
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Topic
Doppio
Subject
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Topic
Oceanography
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Title
Rutgers University Electronic Theses and Dissertations
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ETD_11221
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application/pdf
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text/xml
Extent
1 online resource (vii, 21 pages)
Note
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M.S.
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Includes bibliographical references
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ETD graduate
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School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
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(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
(type = doi)
doi:10.7282/t3-k77z-4684
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Rights
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The author owns the copyright to this work.
RightsHolder
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Name
FamilyName
Anarumo
GivenName
Joseph
Role
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Permission or license
DateTime
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2020-09-28 13:13:15
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Name
Joseph Anarumo
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Affiliation
Rutgers University. School of Graduate Studies
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Author Agreement License
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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
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
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windows xp
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1.7
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2020-09-28T11:03:46
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2020-09-28T11:03:46
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