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Semi-Lagrangian Float Motion and Observing System Design.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Semi-Lagrangian Float Motion and Observing System Design./
作者:	Chamberlain, Paul McNab.
面頁冊數:	1 online resource (240 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-05, Section: B.
Contained By:	Dissertations Abstracts International84-05B.
標題:	Physical oceanography. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29322123click for full text (PQDT)
ISBN:	9798352913505

Semi-Lagrangian Float Motion and Observing System Design.
Chamberlain, Paul McNab.

Semi-Lagrangian Float Motion and Observing System Design. - 1 online resource (240 pages)

Source: Dissertations Abstracts International, Volume: 84-05, Section: B.

Thesis (Ph.D.)--University of California, San Diego, 2022.

Includes bibliographical references

The core Argo array has operated with the design goal of uniform spatial distribution of 3 in latitude and longitude. Recent studies have acknowledged that spatial and temporal scales of variability in some parts of the ocean are not resolved by 3 sampling and have recommended increased core Argo density in the equatorial waters, boundary currents, and marginal seas with an integrated vision of other Argo variants. Biogeochemical (BGC) Argo floats currently observe the ocean from a collection of pilot arrays, but recently funded proposals will transition these pilot arrays to a global array. The current BGC Argo implementation plan recommends uniform spatial distribution of BGC Argo floats. For the first time, we estimate the effectiveness of the existing BGC Argo array to resolve the anomaly from the mean using modeled, full-depth BGC fields. We also study the effectiveness of uniformly-distributed BGC Argo arrays at observing the ocean with varying float densities. Then, using previous Argo trajectories, we estimate the Argo array's future distribution and quantify how well it observes the ocean. Finally, using a novel technique for sequentially identifying the best deployment locations, we suggest the optimal array distribution for BGC Argo floats to minimize objective mapping uncertainty in BGC fields and best observe the anomaly from the mean.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798352913505Subjects--Topical Terms:

3168433
Physical oceanography.
Subjects--Index Terms:

LagrangianIndex Terms--Genre/Form:

542853
Electronic books.

Semi-Lagrangian Float Motion and Observing System Design.
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245 1 0 $a Semi-Lagrangian Float Motion and Observing System Design.
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500 $a Advisor: Talley, Lynne.
502 $a Thesis (Ph.D.)--University of California, San Diego, 2022.
504 $a Includes bibliographical references
520 $a The core Argo array has operated with the design goal of uniform spatial distribution of 3 in latitude and longitude. Recent studies have acknowledged that spatial and temporal scales of variability in some parts of the ocean are not resolved by 3 sampling and have recommended increased core Argo density in the equatorial waters, boundary currents, and marginal seas with an integrated vision of other Argo variants. Biogeochemical (BGC) Argo floats currently observe the ocean from a collection of pilot arrays, but recently funded proposals will transition these pilot arrays to a global array. The current BGC Argo implementation plan recommends uniform spatial distribution of BGC Argo floats. For the first time, we estimate the effectiveness of the existing BGC Argo array to resolve the anomaly from the mean using modeled, full-depth BGC fields. We also study the effectiveness of uniformly-distributed BGC Argo arrays at observing the ocean with varying float densities. Then, using previous Argo trajectories, we estimate the Argo array's future distribution and quantify how well it observes the ocean. Finally, using a novel technique for sequentially identifying the best deployment locations, we suggest the optimal array distribution for BGC Argo floats to minimize objective mapping uncertainty in BGC fields and best observe the anomaly from the mean.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Physical oceanography. $3 3168433
650 4 $a Ocean engineering. $3 660731
650 4 $a Geographic information science. $3 3432445
653 $a Lagrangian
653 $a Float motion
653 $a System design
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773 0 $t Dissertations Abstracts International $g 84-05B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29322123 $z click for full text (PQDT)