Back to search results

Understanding nonlinear wave-particle interactions in Earth's radiation belts to improve space weather modelling. NERC GW4+ DTP PhD studentship for 2022 Entry, PhD in Mathematics

University of Exeter - College of Engineering, Mathematics and Physical Sciences

Qualification Type: PhD
Location: Exeter
Funding for: UK Students, EU Students
Funding amount: From £15,609
Hours: Full Time
Placed On: 21st October 2021
Closes: 10th January 2022
Reference: 4254

Location: Streatham Campus - Exeter

Project Background:

Extreme rainfall events that cause flooding are often caused by atmospheric fronts (Catto and Pfahl 2013). For example, the flooding associated with Storm Desmond in December 2015, which, along with the subsequent storm Eva, caused economic losses estimated between £1.3 and £5.8 billion, was from the rain that fell along the storm’s front (Matthews et al 2018). Predicting the location of fronts and their intense rainfall can present a challenge in weather forecasting, resulting in difficulties giving accurate weather warnings. 

Understanding the characteristics of high impact fronts and their dynamical precursors in observations can help to improve these predictions and future projections. In this project, the goal will be to develop greater understanding of high impact fronts, to then apply this understanding to evaluate both ensemble weather forecasts and climate projections of extreme precipitation events associated with fronts.  

Project Aims and Methods:

The aims of this project will be to understand the lifecycle and dynamical and thermodynamic characteristics of fronts that contribute to extreme precipitation events in observations. Further, the methods developed will be applied to the Unified Model (UM) Climate Model, and the Numerical Weather Prediction model (specifically the Met Office Global and Regional Ensemble Prediction System – MOGREPS) in order to understand how well the models can represent these features. 

Errors in frontal structure identified in the climate model may be able to provide insight into the causes of errors in the Met Office’s weather forecasts. We will investigate whether the systems that are simulated poorly in the climate model responsible for causing the largest uncertainty in the ensemble forecasts? Answering this may directly contribute to improving the representation of fronts in the models, and therefore the Met Office’s weather and climate forecasts, as well as improving their weather warnings.

With the guidance of the supervisors, the candidate will be given the opportunity to modify the research focus and weighting of the different aspects of the project to reflect their interests and strengths. This studentship comes with a generous budget for travel and training (£17k).

Candidate Requirements:

Applicants should have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK, in Mathematics, Physics, Meteorology, Statistics, Environmental Science or another related field.  Knowledge of scientific programming languages (e.g., Matlab, Python, IDL, R) would be advantageous.

Project Partners:

This project is supported by a CASE partnership with the Met Office with Dr Duncan Ackerley as the main Met Office supervisor. Links with the Met Office will ensure access to data and expertise from their seamless modelling capability across prediction time scales. 

Training:

The candidate will be based within the internationally recognised Exeter Climate Systems Research Centre. They will receive training on data analysis of large datasets (Big Data), weather and climate modelling, scientific writing and presenting in accordance with the postgraduate programme at the University of Exeter, GW4 initiatives such as the Water Security Alliance, and through participation in Met Office training. The candidate will be expected to take part in relevant national and international conferences and workshops. 

Useful Links:

Prospective applicants: For information about the application process please contact the Admissions team via pgrenquiries@exeter.ac.uk.  

Tuition fees and an annual stipend allowance at Research Council rates, currently £15,609 per year for 2022-23

We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):

Location(s):

PhD tools
 

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Ok Ok

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Manage your job alerts Manage your job alerts

Account Verification Missing

In order to create multiple job alerts, you must first verify your email address to complete your account creation

Request verification email Request verification email

jobs.ac.uk Account Required

In order to create multiple alerts, you must create a jobs.ac.uk jobseeker account

Create Account Create Account

Alert Creation Failed

Unfortunately, your account is currently blocked. Please login to unblock your account.

Email Address Blocked

We received a delivery failure message when attempting to send you an email and therefore your email address has been blocked. You will not receive job alerts until your email address is unblocked. To do so, please choose from one of the two options below.

Max Alerts Reached

A maximum of 5 Job Alerts can be created against your account. Please remove an existing alert in order to create this new Job Alert

Manage your job alerts Manage your job alerts

Creation Failed

Unfortunately, your alert was not created at this time. Please try again.

Ok Ok

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

 
 
 
More PhDs from University of Exeter

Show all PhDs for this organisation …

More PhDs like this
Join in and follow us

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge