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Analysis of Particulate Carbon Export in the Global Ocean Using in situ Observations and Machine Learning.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Analysis of Particulate Carbon Export in the Global Ocean Using in situ Observations and Machine Learning./
作者:	Clements, Daniel Joseph.
面頁冊數:	1 online resource (150 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-08, Section: B.
Contained By:	Dissertations Abstracts International84-08B.
標題:	Chemical oceanography. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30248746click for full text (PQDT)
ISBN:	9798371994592

Analysis of Particulate Carbon Export in the Global Ocean Using in situ Observations and Machine Learning.
Clements, Daniel Joseph.

Analysis of Particulate Carbon Export in the Global Ocean Using in situ Observations and Machine Learning. - 1 online resource (150 pages)

Source: Dissertations Abstracts International, Volume: 84-08, Section: B.

Thesis (Ph.D.)--University of California, Los Angeles, 2023.

Includes bibliographical references

The abundance and size distribution of marine organic particles are two major factors controlling biological carbon sequestration in the ocean. These quantities are the result of complex physical-biological interactions that are difficult to observe, and their spatial and temporal patterns remain uncertain. This dissertation describes our analysis of particle size distributions (PSD) and the resulting export, from a global compilation of \extit{in situ} Underwater Vision Profiler 5 (UVP5) optical measurements.In Chapter 2, we demonstrate the ability to extrapolate sparse UVP5 observations to the global ocean from well-sampled oceanographic variables, using a machine learning algorithm. We reconstruct global maps of the biogenic PSD parameters (biovolume and slope) for particles at the base of the euphotic zone. These reconstructions reveal consistent global patterns, with high chlorophyll regions generally characterized by high particle biovolume and flatter PSD slope, i.e., a high relative abundance of large vs. small particles. The resulting negative correlations between particle biovolume and slope further suggest amplified effects on sinking particle fluxes. Our approach and estimates provide a baseline for understanding the export of organic matter from the surface ocean.Chapter 3 describes how applying a simple empirical relationship to our reconstructions of the PSD, we can calculate the total export. In this Chapter, we explore the seasonal and spatial patterns of carbon export. Taking advantage of the high vertical resolution of the UVP5, we quantify the export from the surface using two previously established depth horizons. We identify a larger export from the Southern Ocean than most other models of export. Similarly, we find the lower part of the euphotic zone to be dominated by heterotrophy, rather than autotrophy. Being able to reconstruct the PSD and particle flux at multiple depths allows for further exploration of the full 3-dimensional particle field.Chapter 4 describes a full 3-D model, where depth specific export is calculated, highlighting significant deviations from idealized flux profiles and quantify the efficiency of the biological pump globally. Our results reveal the primary drivers of carbon storage and sequestration and highlight the importance of transport by diel vertical migration of marine animals. These estimates of the global particle field serve as a baseline for future model-based estimates of particulate flux, and as an independent estimate of the efficiency of organic matter storage in the ocean.

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

Mode of access: World Wide Web

ISBN: 9798371994592Subjects--Topical Terms:

516760
Chemical oceanography.
Subjects--Index Terms:

Biological pumpIndex Terms--Genre/Form:

542853
Electronic books.

Analysis of Particulate Carbon Export in the Global Ocean Using in situ Observations and Machine Learning.
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520 $a The abundance and size distribution of marine organic particles are two major factors controlling biological carbon sequestration in the ocean. These quantities are the result of complex physical-biological interactions that are difficult to observe, and their spatial and temporal patterns remain uncertain. This dissertation describes our analysis of particle size distributions (PSD) and the resulting export, from a global compilation of \extit{in situ} Underwater Vision Profiler 5 (UVP5) optical measurements.In Chapter 2, we demonstrate the ability to extrapolate sparse UVP5 observations to the global ocean from well-sampled oceanographic variables, using a machine learning algorithm. We reconstruct global maps of the biogenic PSD parameters (biovolume and slope) for particles at the base of the euphotic zone. These reconstructions reveal consistent global patterns, with high chlorophyll regions generally characterized by high particle biovolume and flatter PSD slope, i.e., a high relative abundance of large vs. small particles. The resulting negative correlations between particle biovolume and slope further suggest amplified effects on sinking particle fluxes. Our approach and estimates provide a baseline for understanding the export of organic matter from the surface ocean.Chapter 3 describes how applying a simple empirical relationship to our reconstructions of the PSD, we can calculate the total export. In this Chapter, we explore the seasonal and spatial patterns of carbon export. Taking advantage of the high vertical resolution of the UVP5, we quantify the export from the surface using two previously established depth horizons. We identify a larger export from the Southern Ocean than most other models of export. Similarly, we find the lower part of the euphotic zone to be dominated by heterotrophy, rather than autotrophy. Being able to reconstruct the PSD and particle flux at multiple depths allows for further exploration of the full 3-dimensional particle field.Chapter 4 describes a full 3-D model, where depth specific export is calculated, highlighting significant deviations from idealized flux profiles and quantify the efficiency of the biological pump globally. Our results reveal the primary drivers of carbon storage and sequestration and highlight the importance of transport by diel vertical migration of marine animals. These estimates of the global particle field serve as a baseline for future model-based estimates of particulate flux, and as an independent estimate of the efficiency of organic matter storage in the ocean.
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