201 citations · 201 across the 1 of their papers we have counts for
5 papers
A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts
Lucy Harris, Andrew T. T. McRae, Matthew Chantry +2
Despite continuous improvements, precipitation forecasts are still not as accurate and reliable as those of other meteorological variables. A major contributing factor to this is t…
Using reduced-precision arithmetic in the adjoint model of MITgcm
Andrew T. T. McRae, Tim N. Palmer
In recent years, it has been convincingly shown that weather forecasting models can be run in single-precision arithmetic. Several models or components thereof have been tested wit…
The scaling and skewness of optimally transported meshes on the sphere
Chris J. Budd, Andrew T. T. McRae, Colin J. Cotter
In the context of numerical solution of PDEs, dynamic mesh redistribution methods (r-adaptive methods) are an important procedure for increasing the resolution in regions of intere…
Optimal-transport-based mesh adaptivity on the plane and sphere using finite elements
Andrew T. T. McRae, Colin J. Cotter, Chris J. Budd
In moving mesh methods, the underlying mesh is dynamically adapted without changing the connectivity of the mesh. We specifically consider the generation of meshes which are adapte…
A structure-exploiting numbering algorithm for finite elements on extruded meshes, and its performance evaluation in Firedrake
Gheorghe-Teodor Bercea, Andrew T. T. McRae, David A. Ham +5
We present a generic algorithm for numbering and then efficiently iterating over the data values attached to an extruded mesh. An extruded mesh is formed by replicating an existing…