Matthew Griffith Email & Phone Number

Reading, England, United Kingdom

Bath, England, United Kingdom

Successful weather forecasting at the Met Office relies on obtaining an accurate solution to a very large system of equations in a timely manner. It is therefore crucial that the solver algorithm is fast and efficient, as this can account for up to a third of model runtime. As the Met Office develops their next generation weather forecasting model -- codenamed ``LFric" -- they are looking to replace the current solver algorithm with a so-called ``hybridised" solver algorithm. This type of solver is particularly effective when combined with multigrid techniques, leading to significant improvements in model performance.My current position, funded by a University of Bath EPSRC Impact Acceleration Award (IAA) and in collaboration with the Met Office, has the aim of implementing this ``hybridised'' solver algorithm, which combines hybridisation with a non-nested multigrid solver.

Bath, England, United Kingdom

TitleRaising the Roof: Extending the UK Met Office's Unified Model to the Mesosphere and Lower Thermosphere.DescriptionFunded by the Natural Environmental Research Council's GW4+ Doctoral Training Programme, my PhD in collaboration with the Space Weather group at the Met Office is focused on extending their weather and climate model - the Unified Model (UM) - into the mesosphere and lower thermosphere.In my PhD, I used model diagnostics to investigate the initial problems seen when the model upper boundary was raised. Following the diagnosis of the problem, I implemented a stopgap solution of relaxation to climatology whilst the model radiation scheme was rewritten. This allowed the model to successfully run into the lower thermosphere. Now that development of the improved radiation scheme is complete, I will now verify the model output against satellite data from the group of Prof. Nick Mitchell at the University of Bath. All model code is written in Fortran90, and I perform diagnostic analysis on output in Python.This project is multidisciplinary in nature, including both mathematical and physical components. Since my background is in mathematics, the PhD required me to quickly become well acquainted with general circulation modelling, as well as applying my previous knowledge and expertise to the complexities of working with an operational model such as the Unified Model.

Bath, England, United Kingdom

Produce and present a weekly tutorial to 15 first year maths students based on lecture material and feedback on marked work. Mark problem sheets, mid-term assessments and first year exams. It is key to provide intuitive explanations to difficult concepts and work closely with students to improve understanding.

Bath, England, United Kingdom

Tutoring of a student in numerical analysis (MATLAB) and mathematical methods modules.

Coimbra, Portugal

Funded by NERC GW4+ DTP Placement scheme, my work here centred around modelling the reaction-diffusion system governing hydrogen peroxide signalling.Produced git-versioned Python code to solve this system which will be used at UC Biotech for future parameter analysis.

Paris, Île-De-France, France

Funded by a Royal Society Grant, my work here was primarily experimental. In particular, we performed experiments to induce a Faraday instability in a bath of water using an electric field. The subsequent post-processing of captured images was performed using the Schlieren imaging method in MATLAB.

Doctor Of Philosophy - Phd, Mathematics

• Funded by the Natural Environmental Research Council's Great Western Four Doctoral Training Programme, in collaboration with the Space.

Master'S Degree, Mathematics, First Class Honours

Activities and Societies: Chair of Welsh Society Snowsports Society Mountaneering Society Duplicate Bridge SocietyModules studied: Year 1.

Education record

A-Levels: Maths A*, Chemistry A, French A AS-Levels: Further Maths A, ICT A GCSEs: 13 A* - C