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Development and Assessment of Invers...

Kehrli, Matthew Douglas,

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Development and Assessment of Inverse Optical Models in Support of Ocean Color Applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Development and Assessment of Inverse Optical Models in Support of Ocean Color Applications // Matthew Douglas Kehrli.
Author:	Kehrli, Matthew Douglas,
Description:	1 electronic resource (203 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-10, Section: B.
Contained By:	Dissertations Abstracts International86-10B.
Subject:	Environmental science. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31842070
ISBN:	9798310393714

Development and Assessment of Inverse Optical Models in Support of Ocean Color Applications /
Kehrli, Matthew Douglas,

Development and Assessment of Inverse Optical Models in Support of Ocean Color Applications /Matthew Douglas Kehrli. - 1 electronic resource (203 pages)

Source: Dissertations Abstracts International, Volume: 86-10, Section: B.

Observations of ocean color from satellite imagery provide valuable opportunities to monitor biogeochemical systems of the ocean over broad spatiotemporal scales. To fully leverage the potential of these measurements, it is necessary to continue research on the development, assessment, and validation of inversion methods that estimate inherent optical properties (IOPs), which physically regulate the characteristics of ocean color. However, existing inversion models often face limitations in retrieving a complete suite of IOPs, particularly in the retrievals of absorption coefficients of seawater constituents. This limitation is relevant in the context of the recently launched NASA PACE satellite mission which has the capability to measure hyperspectral radiances from the near-UV (350-400 nm) through the visible (400-700 nm). To address these challenges, this dissertation first focuses on advancing an absorption partitioning model that is incorporated into the broader structure of a four-step Semi-Analytical Algorithm (4SAA) designed to retrieve a full suite of seawater optical properties from satellite measurements. In the first chapter, a high-quality dataset of 1610 field samples of constituent absorption coefficients collected from diverse oceanic environments is compiled to develop a model to extrapolate the non-phytoplankton absorption coefficient, adg(λ), the non-algal absorption coefficient, ad(λ), and the colored dissolved organic matter absorption coefficient, ag(λ), into the near-UV from the visible spectral region. This extrapolation model is assessed and validated using the compiled in situ dataset and provides a method to extend absorption partitioning models constrained to the visible spectral region. In the second chapter, the development of an absorption partitioning model, called ADG, is described. This model separates adg(λ) into its constituents, ad(λ) and ag(λ), across the near-UV through visible spectral range. The ADG model is assessed and validated with the compiled dataset described in the previous chapter and demonstrates a strong capability to partition adg(λ). This model consists of two variants, one of which incorporates the extrapolation model described in the first chapter and is implemented as the final component of the 4SAA model. The third chapter describes the analysis of a comprehensive performance and uncertainty assessment of the 4SAA model. This analysis utilized a recently published synthetic optical database to quantify the performance of each component model of 4SAA and investigate error propagation through the multi-step inversion sequence of 4SAA. A Monte Carlo approach was implemented to evaluate the uncertainty introduced by each component model as well as the propagation of uncertainty of the complete 4SAA model.

English

ISBN: 9798310393714Subjects--Topical Terms:

677245
Environmental science.
Subjects--Index Terms:

Inversion modeling

Development and Assessment of Inverse Optical Models in Support of Ocean Color Applications /
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502 $b Ph.D. $c University of California, San Diego $d 2025.
520 $a Observations of ocean color from satellite imagery provide valuable opportunities to monitor biogeochemical systems of the ocean over broad spatiotemporal scales. To fully leverage the potential of these measurements, it is necessary to continue research on the development, assessment, and validation of inversion methods that estimate inherent optical properties (IOPs), which physically regulate the characteristics of ocean color. However, existing inversion models often face limitations in retrieving a complete suite of IOPs, particularly in the retrievals of absorption coefficients of seawater constituents. This limitation is relevant in the context of the recently launched NASA PACE satellite mission which has the capability to measure hyperspectral radiances from the near-UV (350-400 nm) through the visible (400-700 nm). To address these challenges, this dissertation first focuses on advancing an absorption partitioning model that is incorporated into the broader structure of a four-step Semi-Analytical Algorithm (4SAA) designed to retrieve a full suite of seawater optical properties from satellite measurements. In the first chapter, a high-quality dataset of 1610 field samples of constituent absorption coefficients collected from diverse oceanic environments is compiled to develop a model to extrapolate the non-phytoplankton absorption coefficient, adg(λ), the non-algal absorption coefficient, ad(λ), and the colored dissolved organic matter absorption coefficient, ag(λ), into the near-UV from the visible spectral region. This extrapolation model is assessed and validated using the compiled in situ dataset and provides a method to extend absorption partitioning models constrained to the visible spectral region. In the second chapter, the development of an absorption partitioning model, called ADG, is described. This model separates adg(λ) into its constituents, ad(λ) and ag(λ), across the near-UV through visible spectral range. The ADG model is assessed and validated with the compiled dataset described in the previous chapter and demonstrates a strong capability to partition adg(λ). This model consists of two variants, one of which incorporates the extrapolation model described in the first chapter and is implemented as the final component of the 4SAA model. The third chapter describes the analysis of a comprehensive performance and uncertainty assessment of the 4SAA model. This analysis utilized a recently published synthetic optical database to quantify the performance of each component model of 4SAA and investigate error propagation through the multi-step inversion sequence of 4SAA. A Monte Carlo approach was implemented to evaluate the uncertainty introduced by each component model as well as the propagation of uncertainty of the complete 4SAA model.
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650 4 $a Environmental science. $3 677245
650 4 $a Ocean engineering. $3 660731
650 4 $a Optics. $3 517925
650 4 $a Remote sensing. $3 535394
653 $a Inversion modeling
653 $a Ocean color
653 $a Optical oceanography
653 $a Inherent optical properties
653 $a Satellite measurements
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690 $a 0752
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710 2 $a University of California, San Diego. $b Scripps Institution of Oceanography. $e degree granting institution. $3 3814514
720 1 $a Stramski, Dariusz $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-10B.
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