1 citations · 1 across the 2 of their papers we have counts for
5 papers
Blending machine learning and physics-based approaches for weather and climate: a typology
Benjamin J Shipway, Caroline Bain, David Walters +6
The integration of machine learning (ML) with traditional physics-based models is reshaping the landscape of weather and climate prediction. On their own, ML-based and physics-base…
A regional implementation of a mixed finite-element, semi-implicit dynamical core
Christine Johnson, Ben Shipway, Thomas Melvin +7
This paper explores how to adapt a new dynamical core to enable its use in one-way nested regional weather and climate models, where lateral boundary conditions (LBCs) are provided…
A mixed finite-element, finite-volume, semi-implicit discretisation for atmospheric dynamics: Spherical geometry
Thomas Melvin, Ben Shipway, Nigel Wood +11
The reformulation of the Met Office's dynamical core for weather and climate prediction previously described by the authors is extended to spherical domains using a cubed-sphere me…
The impact of the explicit representation of convection on the climate of a tidally locked planet in global stretched-mesh simulations
Denis E. Sergeev, Ian A. Boutle, F. Hugo Lambert +5
Convective processes are crucial in shaping exoplanetary atmospheres but are computationally expensive to simulate directly. A novel technique of simulating moist convection on tid…
Physics-Dynamics-Chemistry Coupling Across Different Meshes in LFRic-Atmosphere: Formulation and Idealised Tests
Alex Brown, Thomas M. Bendall, Ian Boutle +2
The main components of an atmospheric model for numerical weather prediction are the dynamical core, which describes the resolved flow, and the physical parametrisations, which cap…