Zobrazeno 1 - 10
of 30
pro vyhledávání: '"McRae, Andrew T. T."'
The conditional generative adversarial rainfall model "cGAN" developed for the UK \cite{Harris22} was trained to post-process into an ensemble and downscale ERA5 rainfall to 1km resolution over three regions of the USA and the UK. Relative to radar d
Externí odkaz:
http://arxiv.org/abs/2309.15689
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 that several key processes affecting precipitation distribution and int
Externí odkaz:
http://arxiv.org/abs/2204.02028
Autor:
McRae, Andrew T. T., Palmer, Tim N.
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 with even lower precision than this. This previous work has largely focus
Externí odkaz:
http://arxiv.org/abs/2003.08972
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 interest, without modifying the connectivity of the mesh. Key to the success
Externí odkaz:
http://arxiv.org/abs/1711.00260
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 adapted to a scalar monitor function through equidistribution. Together with
Externí odkaz:
http://arxiv.org/abs/1612.08077
Autor:
Bercea, Gheorghe-Teodor, McRae, Andrew T. T., Ham, David A., Mitchell, Lawrence, Rathgeber, Florian, Nardi, Luigi, Luporini, Fabio, Kelly, Paul H. J.
Publikováno v:
Geoscientific Model Development 9:3803-3815 (2016)
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 mesh, assumed to be unstructured, to form layers of prismatic cells.
Externí odkaz:
http://arxiv.org/abs/1604.05937
Autor:
Rathgeber, Florian, Ham, David A., Mitchell, Lawrence, Lange, Michael, Luporini, Fabio, McRae, Andrew T. T., Bercea, Gheorghe-Teodor, Markall, Graham R., Kelly, Paul H. J.
Publikováno v:
ACM Transactions on Mathematical Software 43(3):24:1--24:27 (2016)
Firedrake is a new tool for automating the numerical solution of partial differential equations. Firedrake adopts the domain-specific language for the finite element method of the FEniCS project, but with a pure Python runtime-only implementation cen
Externí odkaz:
http://arxiv.org/abs/1501.01809
Autor:
McRae, Andrew T. T., Bercea, Gheorghe-Teodor, Mitchell, Lawrence, Ham, David A., Cotter, Colin J.
Publikováno v:
SIAM Journal on Scientific Computing 38(5):S25-S47 (2016)
We describe and implement a symbolic algebra for scalar and vector-valued finite elements, enabling the computer generation of elements with tensor product structure on quadrilateral, hexahedral and triangular prismatic cells. The algebra is implemen
Externí odkaz:
http://arxiv.org/abs/1411.2940
Autor:
McRae, Andrew T. T., Cotter, Colin J.
This paper presents a family of spatial discretisations of the nonlinear rotating shallow-water equations that conserve both energy and potential enstrophy. These are based on two-dimensional mixed finite element methods and hence, unlike some finite
Externí odkaz:
http://arxiv.org/abs/1305.4477
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