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An Exploration of the Controls on Oc...

Allen, James George.

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An Exploration of the Controls on Ocean Color, with an Application to Characterize Phytoplankton and Non-algal Particle Size Distributions Using Satellite Remote Sensing.

Record Type:	Electronic resources : Monograph/item
Title/Author:	An Exploration of the Controls on Ocean Color, with an Application to Characterize Phytoplankton and Non-algal Particle Size Distributions Using Satellite Remote Sensing./
Author:	Allen, James George.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	152 p.
Notes:	Source: Dissertations Abstracts International, Volume: 81-11, Section: B.
Contained By:	Dissertations Abstracts International81-11B.
Subject:	Optics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27828725
ISBN:	9798643189091

An Exploration of the Controls on Ocean Color, with an Application to Characterize Phytoplankton and Non-algal Particle Size Distributions Using Satellite Remote Sensing.
Allen, James George.

An Exploration of the Controls on Ocean Color, with an Application to Characterize Phytoplankton and Non-algal Particle Size Distributions Using Satellite Remote Sensing. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 152 p.

Source: Dissertations Abstracts International, Volume: 81-11, Section: B.

Thesis (Ph.D.)--University of California, Santa Barbara, 2020.

This item must not be sold to any third party vendors.

Satellite remote sensing is the primary method for retrieving synoptic measurements of the optical properties of the ocean on large spatial and regular time scales. Through bio-optical modeling, changes in ocean color spectra can be linked to changes in marine ecosystem and biogeochemical properties. To do this requires the characterization of the in-water constituents, their inherent and apparent optical properties, and, ultimately, their variability over time. This PhD dissertation focuses on three different aspects of ocean color and how relationships between ocean constituents and their optical properties can be used to quantify biogeochemical changes across many different temporal and spatial scales. Chapter 1 describes the multi-decadal time series of apparent optical properties measured as part of the Bermuda Bio-Optics Project (BBOP). Trends in the magnitude of the diffuse attenuation coefficient were linked to changes in phytoplankton properties over the course of the 20-year timeseries. Chapter 2 characterizes the seasonal variability of ocean constituents and their inherent and apparent optical properties collected as part of the North Atlantic Aerosols and Marine Ecosystems Study (NAAMES). Ocean color variability throughout the North Atlantic Bloom is driven by colored dissolved organic matter (CDOM) absorption in the UV wavelengths, phytoplankton absorption in the blue wavelengths, and total particulate backscattering in the green wavelengths. Additionally, while the various bio-optical algorithms effectively retrieve the magnitudes of inherent optical properties, their spectral slopes are poorly retrieved, indicating the need for improvements in the retrieval of optical constituent composition. Ultimately, the temporal and spatial signals of the North Atlantic spring bloom can be accurately assessed via ocean color observations. Insights from the first two chapters allowed for the creation of a bio-optical algorithm, the PhiPSD, that simultaneously retrieves the size distributions of both phytoplankton and non-algal particles from satellite ocean color data, for Chapter 3. This algorithm serves as a conceptual framework to confront optical theory with established global bio-optical algorithms to link single-particle optics with their bulk population optical properties.

ISBN: 9798643189091Subjects--Topical Terms:

517925
Optics.
Subjects--Index Terms:

Ocean color

An Exploration of the Controls on Ocean Color, with an Application to Characterize Phytoplankton and Non-algal Particle Size Distributions Using Satellite Remote Sensing.
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520 $a Satellite remote sensing is the primary method for retrieving synoptic measurements of the optical properties of the ocean on large spatial and regular time scales. Through bio-optical modeling, changes in ocean color spectra can be linked to changes in marine ecosystem and biogeochemical properties. To do this requires the characterization of the in-water constituents, their inherent and apparent optical properties, and, ultimately, their variability over time. This PhD dissertation focuses on three different aspects of ocean color and how relationships between ocean constituents and their optical properties can be used to quantify biogeochemical changes across many different temporal and spatial scales. Chapter 1 describes the multi-decadal time series of apparent optical properties measured as part of the Bermuda Bio-Optics Project (BBOP). Trends in the magnitude of the diffuse attenuation coefficient were linked to changes in phytoplankton properties over the course of the 20-year timeseries. Chapter 2 characterizes the seasonal variability of ocean constituents and their inherent and apparent optical properties collected as part of the North Atlantic Aerosols and Marine Ecosystems Study (NAAMES). Ocean color variability throughout the North Atlantic Bloom is driven by colored dissolved organic matter (CDOM) absorption in the UV wavelengths, phytoplankton absorption in the blue wavelengths, and total particulate backscattering in the green wavelengths. Additionally, while the various bio-optical algorithms effectively retrieve the magnitudes of inherent optical properties, their spectral slopes are poorly retrieved, indicating the need for improvements in the retrieval of optical constituent composition. Ultimately, the temporal and spatial signals of the North Atlantic spring bloom can be accurately assessed via ocean color observations. Insights from the first two chapters allowed for the creation of a bio-optical algorithm, the PhiPSD, that simultaneously retrieves the size distributions of both phytoplankton and non-algal particles from satellite ocean color data, for Chapter 3. This algorithm serves as a conceptual framework to confront optical theory with established global bio-optical algorithms to link single-particle optics with their bulk population optical properties.
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