|Funding for:||UK Students, EU Students|
|Funding amount:||Not Specified|
|Hours:||Full Time, Part Time|
|Placed On:||7th October 2019|
|Closes:||7th January 2020|
Start date: October 2020
Hours: Full Time or part time
Studentship length: 3.5 years
Supervisor: Associate Professor Andrew Manning (https://people.uea.ac.uk/a_manning)
The oceans are the world’s most important long-term carbon dioxide (CO2) sink and substantially reduce climate change by sucking up vast amounts of fossil fuel CO2 emissions (~9.3 million tonnes CO2 every year). This might not continue: as the planet warms so do the oceans, changing marine biology and ocean circulation, which affects CO2 uptake. In addition, oxygen (O2) outgasses from the ocean as it warms, leading to expansion of oxygen ‘deserts’, which are detrimental to fish stocks. The oceans are also a source of methane (CH4) to the atmosphere, a greenhouse gas much more potent than CO2.
The net CO2 flux from the Atlantic Ocean varies significantly with latitude, with uptake in the north and outgassing in the tropics. Our group has been collecting atmospheric datasets over the Atlantic from the Cap San Lorenzo container ship travelling between Germany and Argentina since 2015 (O2 and CO2) and 2019 (CH4). In this studentship, you will maintain the shipboard equipment (when the ship visits London), and carry out in-depth data analyses. Your work will include a strong atmospheric transport modelling component – working with computer models that simulate atmospheric circulation and combining these simulations with our atmospheric datasets to determine fluxes of CO2, O2 and CH4 between the ocean and atmosphere. Your work will thus shed important insight into the Atlantic Ocean carbon sink, ocean methane sources and ocean deoxygenation.
You should have a numerical skills, maths or computer science-based background. Environmental sciences and carbon cycle knowledge is desirable, but not required – we have excellent classes for you to acquire such knowledge. A strong interest in the environment and climate change is essential. Excellent writing skills are also required.
You will join UEA’s ‘CRAM Group’ of atmospheric measurement experts, and benefit from our partner, Professor Paul Palmer (University of Edinburgh), a world-leading atmospheric transport modelling expert. By the end of the PhD you will have acquired skills and expertise in atmospheric measurement and modelling, leaving you well-placed to develop your career either in academia or industry. Exciting training opportunities exist, including summer schools on atmospheric sciences and transport modelling workshops.
First degree in Maths or Computer Science-based subject.
This project has been shortlisted for funding by the ARIES NERC Doctoral Training Partnership, and will involve attendance at mandatory training events throughout the course of the PhD. Shortlisted applicants will be interviewed on 18/19 February 2020. Successful candidates who meet UKRI’s eligibility criteria will be awarded a NERC studentship - UK and EU nationals who have been resident in the UK for 3 years are eligible for a full award. Excellent applicants from quantitative disciplines with limited experience in environmental sciences may be considered for an additional 3-month stipend to take advanced-level courses in the subject area. For further information, please visit www.aries-dtp.ac.uk
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