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Andrew McRae

Postdoctoral Research Assistant

Sub department

  • Atmospheric, Oceanic and Planetary Physics

Research groups

  • Predictability of weather and climate
andrew.mcrae@physics.ox.ac.uk
  • About
  • Publications

I am a Postdoctoral researcher within the Predictability of Weather and Climate group.

 

Areas of interest/things I have worked on in the past:

  • Machine learning applied to weather prediction
  • Reduced-precision numerical modelling
  • Adaptive mesh methods
  • Automated finite element software
  • Compatible finite element dynamical cores

Research interests

Machine learning
Neural networks
Finite element methods
Finite element software
Mesh adaptivity

Selected publications

A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts

ArXiv 2204.02028 (2022)
Lucy Harris, Andrew TT McRae, Matthew Chantry, Peter D Dueben, Tim N Palmer

Firedrake: Automating the finite element method by composing abstractions

ACM Transactions on Mathematical Software 43:3 (2016)
F Rathgeber, DA Ham, L Mitchell, M Lange, F Luporini, ATT McRae, GT Bercea, GR Markall, PHJ Kelly

AUTOMATED GENERATION AND SYMBOLIC MANIPULATION OF TENSOR PRODUCT FINITE ELEMENTS

SIAM JOURNAL ON SCIENTIFIC COMPUTING 38:5 (2016) S25-S47
ATT Mcrae, G-T Bercea, L Mitchell, DA Ham, CJ Cotter

Optimal-transport-based mesh adaptivity on the plane and sphere using finite elements

SIAM Journal on Scientific Computing Society for Industrial and Applied Mathematics 40:2 (2018) A1121-A1148
Andrew McRae, CJ Cotter, CJ Budd
See all publications

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