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Leveraging Ocean Circulation Inverse...

Yamamoto, Kana,

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Leveraging Ocean Circulation Inverse Models to Quantify Carbon Biogeochemical Processes in the Global Ocean /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Leveraging Ocean Circulation Inverse Models to Quantify Carbon Biogeochemical Processes in the Global Ocean // Kana Yamamoto.
Author:	Yamamoto, Kana,
Description:	1 electronic resource (124 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-08, Section: B.
Contained By:	Dissertations Abstracts International86-08B.
Subject:	Biological oceanography. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31764334
ISBN:	9798302880611

Leveraging Ocean Circulation Inverse Models to Quantify Carbon Biogeochemical Processes in the Global Ocean /
Yamamoto, Kana,

Leveraging Ocean Circulation Inverse Models to Quantify Carbon Biogeochemical Processes in the Global Ocean /Kana Yamamoto. - 1 electronic resource (124 pages)

Source: Dissertations Abstracts International, Volume: 86-08, Section: B.

The ocean is the second largest carbon reservoir on Earth and has sequestered roughly 25% of all anthropogenic CO2 emissions, playing a critical role in controlling Earth's climate. This ocean carbon uptake is facilitated by the dissolution of CO2 at the sea surface via gas exchange which can subsequently be transported to depth via physical mixing and biological processes. Because such processes span the whole ocean, exhibit spatial and temporal variability, and in many cases cannot be directly measured, quantifying the mechanisms that drive ocean carbon uptake on a global scale requires the use of numerical ocean models that incorporate in-situ measurements and satellite datasets.To explore various topics related to ocean carbon cycling, I construct biogeochemical models that use data-assimilated ocean circulation inverse models (OCIM). First, I model chromophoric dissolved organic matter (CDOM), an important light-absorbing constituent of seawater that affects light availability for photosynthesis and interferes with satellite measurements of ocean biology. From this, I quantify the first global CDOM budget which estimates that 93% of ocean CDOM is produced within the ocean rather than transported from land by rivers. The CDOM model is broadly consistent with in-situ measurements and satellite-based CDOM estimates, but there are biases that highlight important weaknesses in the model as well as across both measurement and satellite datasets.Second, I examine the physical and biological drivers of seasonal variability in the air-sea CO2 flux and how these seasonal components impact estimates of the anthropogenic carbon flux (Fant,CO2). As previous estimates of Fant,CO2 using the OCIM did not include seasonality or biology, this work acts to refine previous OCIM estimates obtained from annual abiotic models. The seasonal biotic model weakens global Fant,CO2 by 6% compared to the annual biotic model, which is predominantly due to seasonal circulation decreasing anthropogenic carbon uptake in the Southern Ocean and subpolar North Atlantic. While biology only decreases globally integrated annual mean Fant,CO2 by 2%, it strongly controls the seasonal phasing of regional Fant,CO2 due to its impact on the Revelle factor. Overall, the new estimate for globally integrated annual mean Fant,CO2 is consistent with previous annual abiotic OCIM estimates.Third, I look to the future, estimating the efficiency of proposed marine-based CO2 removal (mCDR) strategies in reducing atmospheric CO2 by purposefully enhancing the ocean's natural ability to sequester carbon. Using a coupled ocean-atmosphere model, I construct a numerical framework that assesses the time history of atmospheric CO2 reduction as a result of mCDR deployment. I apply this framework to estimate the efficiency of ocean alkalinity enhancement (OAE) deployed throughout the global ocean and compare its efficiency to that of direct air capture (DAC). OAE can be as effective as DAC over time, but how long it takes to reach unity varies widely with deployment location based on the balance between localized air-sea gas exchange timescales and large-scale circulation timescales.

English

ISBN: 9798302880611Subjects--Topical Terms:

2122748
Biological oceanography.
Subjects--Index Terms:

Air-sea flux

Leveraging Ocean Circulation Inverse Models to Quantify Carbon Biogeochemical Processes in the Global Ocean /
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500 $a Source: Dissertations Abstracts International, Volume: 86-08, Section: B.
500 $a Advisors: DeVries, Timothy; Siegel, David A. Committee members: Nelson, Norman B.; Carlson, Craig A.
502 $b Ph.D. $c University of California, Santa Barbara $d 2024.
520 $a The ocean is the second largest carbon reservoir on Earth and has sequestered roughly 25% of all anthropogenic CO2 emissions, playing a critical role in controlling Earth's climate. This ocean carbon uptake is facilitated by the dissolution of CO2 at the sea surface via gas exchange which can subsequently be transported to depth via physical mixing and biological processes. Because such processes span the whole ocean, exhibit spatial and temporal variability, and in many cases cannot be directly measured, quantifying the mechanisms that drive ocean carbon uptake on a global scale requires the use of numerical ocean models that incorporate in-situ measurements and satellite datasets.To explore various topics related to ocean carbon cycling, I construct biogeochemical models that use data-assimilated ocean circulation inverse models (OCIM). First, I model chromophoric dissolved organic matter (CDOM), an important light-absorbing constituent of seawater that affects light availability for photosynthesis and interferes with satellite measurements of ocean biology. From this, I quantify the first global CDOM budget which estimates that 93% of ocean CDOM is produced within the ocean rather than transported from land by rivers. The CDOM model is broadly consistent with in-situ measurements and satellite-based CDOM estimates, but there are biases that highlight important weaknesses in the model as well as across both measurement and satellite datasets.Second, I examine the physical and biological drivers of seasonal variability in the air-sea CO2 flux and how these seasonal components impact estimates of the anthropogenic carbon flux (Fant,CO2). As previous estimates of Fant,CO2 using the OCIM did not include seasonality or biology, this work acts to refine previous OCIM estimates obtained from annual abiotic models. The seasonal biotic model weakens global Fant,CO2 by 6% compared to the annual biotic model, which is predominantly due to seasonal circulation decreasing anthropogenic carbon uptake in the Southern Ocean and subpolar North Atlantic. While biology only decreases globally integrated annual mean Fant,CO2 by 2%, it strongly controls the seasonal phasing of regional Fant,CO2 due to its impact on the Revelle factor. Overall, the new estimate for globally integrated annual mean Fant,CO2 is consistent with previous annual abiotic OCIM estimates.Third, I look to the future, estimating the efficiency of proposed marine-based CO2 removal (mCDR) strategies in reducing atmospheric CO2 by purposefully enhancing the ocean's natural ability to sequester carbon. Using a coupled ocean-atmosphere model, I construct a numerical framework that assesses the time history of atmospheric CO2 reduction as a result of mCDR deployment. I apply this framework to estimate the efficiency of ocean alkalinity enhancement (OAE) deployed throughout the global ocean and compare its efficiency to that of direct air capture (DAC). OAE can be as effective as DAC over time, but how long it takes to reach unity varies widely with deployment location based on the balance between localized air-sea gas exchange timescales and large-scale circulation timescales.
546 $a English
590 $a School code: 0035
650 4 $a Biological oceanography. $3 2122748
650 4 $a Chemical oceanography. $3 516760
650 4 $a Physical oceanography. $3 3168433
650 4 $a Biogeochemistry. $3 545717
653 $a Air-sea flux
653 $a Chromophoric dissolved organic matter
653 $a Marine carbon dioxide removal
653 $a Ocean carbon uptake
653 $a Ocean alkalinity enhancement
690 $a 0416
690 $a 0403
690 $a 0415
690 $a 0425
710 2 $a University of California, Santa Barbara. $b Marine Science. $e degree granting institution. $3 3828333
720 1 $a DeVries, Timothy $e degree supervisor.
720 1 $a Siegel, David A. $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-08B.
790 $a 0035
791 $a Ph.D.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31764334