PhD: Evaluating the UK's carbon footprint from the atmosphere and from space
- Employer
- Global Academy Jobs
- Location
- United Kingdom
- Closing date
- Aug 29, 2017
View more
- Sector
- Science, Computer Science and IT, Computer Science, General Computing, Physical Sciences and Engineering, Physics, Mathematics and Statistics
- Hours
- Full Time
- Organization Type
- University and College
- Jobseeker Type
- Academic (e.g. 'Lecturer')
Job Details
Aims and Methods
In this project, you will work closely with the Met Office, to use their Numerical Atmospheric dispersion Modelling Environment (NAME) to interpret new satellite data from NASA’s Orbiting Carbon Observatory (OCO-2) the JAXA GOSAT instrument and the upcoming TROPOMI instrument. You will develop new Bayesian methodologies to derive fluxes and explore the sensitivity of these estimates to potential biases in the observing systems or the models. The primary outcomes will be better-constrained carbon fluxes for the UK and Europe, which will be fed back to BEIS to improve the UK’s CO2 and CH4 inventory.
Candidate
The project would suit a student with a first degree in physical or computational sciences or mathematics and a desire to develop a range new skills. Although this project primarily focuses on modelling and mathematics, there is the potential to participate in field and lab work that is on-going in the Atmospheric Chemistry Research Group (ACRG). The project does not require a background in Chemistry.
Case Award
The student will spend a minimum of 3 months at the CASE Partner, the Met Office, over the duration of the project. The CASE supervisor, Dr. Alistair Manning, a world-renowned expert in trace gas inverse modelling, visits the ACRG every month for project meetings.
Training
The student will receive training in atmospheric modelling and Bayesian methods from ACRG staff, the Met Office and international partners (e.g. MIT and NASA JPL). The student will join several on-going international collaborations, including the Advanced Global Atmospheric Gases Experiment (AGAGE), of which the ACRG is a key member. It is envisaged that the student will spend at least two weeks working with AGAGE collaborators at the Massachusetts Institute of Technology (MIT) to facilitate knowledge sharing in inverse methods. The student will participate in at least one field visit to a UK DECC network monitoring site and an AGAGE station (e.g. in Barbados, Svalbard, California, Ireland, etc.) to learn about trace gas measurement techniques. The student will collaborate with scientists working on remote sensing of CO2 and CH4 at NASA’s Jet Propulsion Laboratory (JPL) and the University of Leicester.
Supervisor: Dr Matthew Rigby
Company
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