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Bayesian Harmonic Analysis of Tidal and Wind-Driven Currents in the California Current System- [electronic resource]
Bayesian Harmonic Analysis of Tidal and Wind-Driven Currents in the California Current System- [electronic resource]
상세정보
- 자료유형
- 학위논문
- Control Number
- 0016931396
- International Standard Book Number
- 9798379761974
- Dewey Decimal Classification Number
- 551.46
- Main Entry-Personal Name
- Kachelein, Luke.
- Publication, Distribution, etc. (Imprint
- [S.l.] : University of California, San Diego., 2023
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2023
- Physical Description
- 1 online resource(162 p.)
- General Note
- Source: Dissertations Abstracts International, Volume: 85-01, Section: B.
- General Note
- Advisor: Gille, Sarah T.;Mazloff, Matthew R.
- Dissertation Note
- Thesis (Ph.D.)--University of California, San Diego, 2023.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Summary, Etc.
- 요약The surface layer of the ocean is a critical component of the ocean-atmosphere system. The momentum and heat transfer that occur here, as well as tidal forcing, result in energetic currents across a wide range of length and time scales. Because the surface is observable from land and space, it is the subject of extensive study from land-based and satellite observation systems. Only recently, however, have spatial resolutions from satellite instruments approached the submesoscale, which evolves at time scales comparable to or faster than repeat orbit sampling rates. At the same time, land-based radar networks have matured such that more than a decade of surface current observations at kilometer scale resolution are available from many regions around the world, unconstrained by the timing of orbits that affect satellites but are limited to coastlines. This leads to the central motivating question that this dissertation seeks to address: what can coastal radar data reveal about short time scale processes that could be useful to the goals of recent and upcoming Earth observation satellite missions? This work is limited to examining the surface expression of internal tides and diurnal wind-driven currents, as both are energetic processes at known frequencies, lending themselves well to harmonic analysis.In Chapter 1, a novel tidal harmonic analysis method is presented, following from previous tidal analysis and incorporating Bayesian principles and prior statistics to inform the least squares fitting procedure. This method is applied in Chapter 2 to high-frequency radar data from the California Current System in order to characterize tidal currents in that region, finding a phase structure indicative of internal tidal propagation and a complicated spatial distribution of the fraction of tidal energy deemed to result from modulation by other processes in the ocean. Finally, Chapter 3 uses the same method on currents and winds in order to characterize the diurnal wind-driven current, finding the times of day that these quantities peak, their level of coherence, and the angle between them as a function of frequency. These chapters provide a detailed view of these processes in a well-studied coastal region, with implications for satellite oceanography.
- Subject Added Entry-Topical Term
- Physical oceanography.
- Subject Added Entry-Topical Term
- Geophysics.
- Subject Added Entry-Topical Term
- Alternative energy.
- Index Term-Uncontrolled
- Bayesian principles
- Index Term-Uncontrolled
- Currents
- Index Term-Uncontrolled
- Harmonic analysis
- Index Term-Uncontrolled
- Oceanography
- Index Term-Uncontrolled
- Tides
- Index Term-Uncontrolled
- Wind-driven
- Added Entry-Corporate Name
- University of California, San Diego Scripps Institution of Oceanography
- Host Item Entry
- Dissertations Abstracts International. 85-01B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:643373
MARC
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■020 ▼a9798379761974
■035 ▼a(MiAaPQ)AAI30311006
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a551.46
■1001 ▼aKachelein, Luke.
■24510▼aBayesian Harmonic Analysis of Tidal and Wind-Driven Currents in the California Current System▼h[electronic resource]
■260 ▼a[S.l.]▼bUniversity of California, San Diego. ▼c2023
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2023
■300 ▼a1 online resource(162 p.)
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-01, Section: B.
■500 ▼aAdvisor: Gille, Sarah T.;Mazloff, Matthew R.
■5021 ▼aThesis (Ph.D.)--University of California, San Diego, 2023.
■506 ▼aThis item must not be sold to any third party vendors.
■520 ▼aThe surface layer of the ocean is a critical component of the ocean-atmosphere system. The momentum and heat transfer that occur here, as well as tidal forcing, result in energetic currents across a wide range of length and time scales. Because the surface is observable from land and space, it is the subject of extensive study from land-based and satellite observation systems. Only recently, however, have spatial resolutions from satellite instruments approached the submesoscale, which evolves at time scales comparable to or faster than repeat orbit sampling rates. At the same time, land-based radar networks have matured such that more than a decade of surface current observations at kilometer scale resolution are available from many regions around the world, unconstrained by the timing of orbits that affect satellites but are limited to coastlines. This leads to the central motivating question that this dissertation seeks to address: what can coastal radar data reveal about short time scale processes that could be useful to the goals of recent and upcoming Earth observation satellite missions? This work is limited to examining the surface expression of internal tides and diurnal wind-driven currents, as both are energetic processes at known frequencies, lending themselves well to harmonic analysis.In Chapter 1, a novel tidal harmonic analysis method is presented, following from previous tidal analysis and incorporating Bayesian principles and prior statistics to inform the least squares fitting procedure. This method is applied in Chapter 2 to high-frequency radar data from the California Current System in order to characterize tidal currents in that region, finding a phase structure indicative of internal tidal propagation and a complicated spatial distribution of the fraction of tidal energy deemed to result from modulation by other processes in the ocean. Finally, Chapter 3 uses the same method on currents and winds in order to characterize the diurnal wind-driven current, finding the times of day that these quantities peak, their level of coherence, and the angle between them as a function of frequency. These chapters provide a detailed view of these processes in a well-studied coastal region, with implications for satellite oceanography.
■590 ▼aSchool code: 0033.
■650 4▼aPhysical oceanography.
■650 4▼aGeophysics.
■650 4▼aAlternative energy.
■653 ▼aBayesian principles
■653 ▼aCurrents
■653 ▼aHarmonic analysis
■653 ▼aOceanography
■653 ▼aTides
■653 ▼aWind-driven
■690 ▼a0415
■690 ▼a0363
■690 ▼a0373
■71020▼aUniversity of California, San Diego▼bScripps Institution of Oceanography.
■7730 ▼tDissertations Abstracts International▼g85-01B.
■773 ▼tDissertation Abstract International
■790 ▼a0033
■791 ▼aPh.D.
■792 ▼a2023
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16931396▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202402▼f2024
