The University of Southampton
University of Southampton Institutional Repository

Advancing climate-critical ocean carbon observations through new applications of autonomous technologies

Advancing climate-critical ocean carbon observations through new applications of autonomous technologies
Advancing climate-critical ocean carbon observations through new applications of autonomous technologies
The ocean is a critical component of the global carbon cycle. As global anthropogenic carbon emissions continue to rise understanding the ocean’s role in carbon cycling has become a major focus for scientific observation and intervention. The marine carbonate system underpins the central role of the ocean both in moderating atmospheric CO2 and ocean pH, yet it remains poorly constrained in space and time, particularly in dynamic coastal environments. Traditional ship-based approaches constitute the "gold-standard" data quality but are sparse, seasonally biased, and resource-intensive, highlighting the urgent need for increased high-resolution observational strategies. In this thesis I present new methodological approaches through the use of cutting-edge autonomous technologies to address these gaps and advance the understanding of ocean carbon. Here, I demonstrate that autonomous carbonate observations can approach the quality of traditional methods while delivering unprecedented spatiotemporal coverage at reduced cost and carbon footprint. Lab-on-Chip pH and TA sensors on the Autosub Long Range AUV yielded the first high-resolution carbonate characterisation from autonomous sensors, detecting fine-scale coastal biogeochemical processes with ship-comparable quality. An extended AUV deployment with dual pH sensors resolved carbonate dynamics and air–sea CO2 fluxes while critically assessing sensor corrections and uncertainties. Finally, multi-month autonomous reef observations in the Red Sea---including the first stand-alone TA sensor on a coral reef---captured diel and seasonal variability in different reef environments and provided carbonate chemistry characterisation to an undersampled region. Collectively, this work advances both understanding of ocean carbon dynamics and the capabilities of autonomous observation. I highlight both the scientific insights (ranging from regional carbon cycling to reef metabolic processes) and the methodological advances required for climate-critical ocean carbon observation. By confronting the observational gaps of the marine carbonate system, my doctoral thesis establishes novel autonomous technologies as a defensible strategy to understand, monitor, and respond to ocean chemistry in a changing climate.
University of Southampton
Hammermeister, Emily Madison
279b2fc2-b4f5-4ae3-8974-d2dec5cd1452
Hammermeister, Emily Madison
279b2fc2-b4f5-4ae3-8974-d2dec5cd1452
Loucaides, Socratis
bdaff904-621e-47cc-96fd-e8f4fc09b784
Fowell, Sara
e546c4e1-55c0-4a69-a7b2-cb63ae0c1fe5
Papadimitriou, Stathys
a4b67182-8c5f-4062-b9ee-657ed9d5125f
Nightingale, Adrian
4b51311d-c6c3-40d5-a13f-ab8917031ab3

Hammermeister, Emily Madison (2026) Advancing climate-critical ocean carbon observations through new applications of autonomous technologies. University of Southampton, Doctoral Thesis, 214pp.

Record type: Thesis (Doctoral)

Abstract

The ocean is a critical component of the global carbon cycle. As global anthropogenic carbon emissions continue to rise understanding the ocean’s role in carbon cycling has become a major focus for scientific observation and intervention. The marine carbonate system underpins the central role of the ocean both in moderating atmospheric CO2 and ocean pH, yet it remains poorly constrained in space and time, particularly in dynamic coastal environments. Traditional ship-based approaches constitute the "gold-standard" data quality but are sparse, seasonally biased, and resource-intensive, highlighting the urgent need for increased high-resolution observational strategies. In this thesis I present new methodological approaches through the use of cutting-edge autonomous technologies to address these gaps and advance the understanding of ocean carbon. Here, I demonstrate that autonomous carbonate observations can approach the quality of traditional methods while delivering unprecedented spatiotemporal coverage at reduced cost and carbon footprint. Lab-on-Chip pH and TA sensors on the Autosub Long Range AUV yielded the first high-resolution carbonate characterisation from autonomous sensors, detecting fine-scale coastal biogeochemical processes with ship-comparable quality. An extended AUV deployment with dual pH sensors resolved carbonate dynamics and air–sea CO2 fluxes while critically assessing sensor corrections and uncertainties. Finally, multi-month autonomous reef observations in the Red Sea---including the first stand-alone TA sensor on a coral reef---captured diel and seasonal variability in different reef environments and provided carbonate chemistry characterisation to an undersampled region. Collectively, this work advances both understanding of ocean carbon dynamics and the capabilities of autonomous observation. I highlight both the scientific insights (ranging from regional carbon cycling to reef metabolic processes) and the methodological advances required for climate-critical ocean carbon observation. By confronting the observational gaps of the marine carbonate system, my doctoral thesis establishes novel autonomous technologies as a defensible strategy to understand, monitor, and respond to ocean chemistry in a changing climate.

Text
Hammermeister_Thesis_Final_2026_pdfa - Version of Record
Available under License University of Southampton Thesis Licence.
Download (30MB)
Text
Final-thesis-submission-Examination-Miss-Emily-Hammermeister
Restricted to Repository staff only

More information

Published date: 2026

Identifiers

Local EPrints ID: 510475
URI: http://eprints.soton.ac.uk/id/eprint/510475
PURE UUID: f6713ef0-78f0-4e1f-9063-ee66c0e96f7d
ORCID for Emily Madison Hammermeister: ORCID iD orcid.org/0000-0002-1739-761X
ORCID for Adrian Nightingale: ORCID iD orcid.org/0000-0003-2445-4827

Catalogue record

Date deposited: 13 Apr 2026 09:38
Last modified: 14 Apr 2026 02:05

Export record

Contributors

Author: Emily Madison Hammermeister ORCID iD
Thesis advisor: Socratis Loucaides
Thesis advisor: Sara Fowell
Thesis advisor: Stathys Papadimitriou
Thesis advisor: Adrian Nightingale ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×