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John Thuburn

Researcher at University of Exeter

Publications -  128
Citations -  4689

John Thuburn is an academic researcher from University of Exeter. The author has contributed to research in topics: Discretization & Shallow water equations. The author has an hindex of 37, co-authored 122 publications receiving 4179 citations. Previous affiliations of John Thuburn include University of Reading.

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An inherently mass‐conserving semi‐implicit semi‐Lagrangian discretization of the deep‐atmosphere global non‐hydrostatic equations

TL;DR: In this paper, a mass-conserving semi-implicit (SI) semi-Lagrangian (SL) discretization of the 2D shallow-water equations and 2D vertical slice equations is extended to the 3D deep-atmosphere, non-hydrostatic global equations.
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A unified approach to energy conservation and potential vorticity dynamics for arbitrarily-structured C-grids

TL;DR: A numerical scheme applicable to arbitrarily-structured C-grids is presented for the nonlinear shallow-water equations, using the vector-invariant form of the momentum equation to guarantee that mass, velocity and potential vorticity evolve in a consistent and compatible manner.
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Numerical representation of geostrophic modes on arbitrarily structured C-grids

TL;DR: An explicit formula is given for constructing an appropriate discretization of the Coriolis terms and it is confirmed that the scheme does indeed give stationary geostrophic modes for the hexagonal-pentagonal and triangular geodesic C-grids on the sphere.
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Horizontal grids for global weather and climate prediction models: a review

TL;DR: In this article, the authors present a survey and assessment of horizontal grids for modeling the atmosphere over the sphere, focusing on computational modes and grid imprinting, and the potential existence of computational modes on non-quadrilateral grids.
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The unified model, a fully-compressible, non-hydrostatic, deep atmosphere global circulation model, applied to hot Jupiters - ENDGame for a HD 209458b test case

TL;DR: In this paper, the authors demonstrate the successful adaptation of the most sophisticated dynamical core, the component of the GCM which solves the equations of motion for the atmosphere, available within the EndGame (Even Newer Dynamics for General atmospheric modelling of the environment).