Using machine learning to improve predictions of ocean carbon storage by marine life
Not stated
- Location
- Southampton, United Kingdom
- Funding
- INSPIRE studentship; UKRI standard level
- Application deadline
- See university guidance
About the project
Carbon dioxide (CO2) dissolved in seawater is used by marine phytoplankton to grow, supporting the ocean’s foodweb and resulting in a downward flux of organic matter (the 'biological carbon pump' (BCP)) that sequesters carbon in the ocean and maintains atmospheric CO2 concentrations roughly 1/3 lower than in its absence. However, we lack an understanding of the relative importance of the BCP’s drivers and how they will respond to climate change, and, consequently, a robust way of predicting change in the BCP itself. Such change may decrease the ocean's role as a carbon reservoir, impacting national commitments to "net-zero". The recent IPCC Report ( https://www.ipcc.ch/report/ar6/wg1/ , Ch.5, section 5.4.4.2) asserted “high confidence that feedbacks to climate will arise from alterations to the magnitude and efficiency of the BCP”, but that the attributed drivers differ significantly. A deeper understanding is needed of the BCP in our predictive models where there is no consensus on how it is represented. Machine learning (ML) techniques provide powerful tools to infer the underlying dominant causal influences on the BCP and how they shift into the future across a range of earth system models, allowing more robust assessment of global change in the BCP.
For full project details visit the Inspire project page .
Lead supervisor
- Doctor Adrian Martin (National Oceanography Centre)
Supervisors
- Professor Steph Henson (National Oceanography Centre)
- Professor Zudi Lu (University of Southampton)
- Doctor B.B. Cael (National Oceanography Centre)
- Doctor Sian Henley (University of Edinburgh)
Potential supervisors
- Potential supervisors: Lead supervisor
Entry requirements
A 2:1 honours degree, or its international equivalent , in one of these subjects:
- any numerate discipline
Fees and funding
INSPIRE studentships are funded by the Natural Environment Research Council (NERC, part of UK Research and Innovation, UKRI). The stipend is in line with UKRI standard levels, including the recent cost of living increase.
All studentships are fully funded for 3.5 years.
How to apply
To make an application, visit the how to apply section of the INSPIRE website .
Contact us
For questions about the project, contact Doctor Adrian Martin:
Email: adrian.martin@noc.ac.uk
For questions about the application process, contact the graduate school office.
Email: gsnocs@soton.ac.uk