Use of advanced data/computational science techniques to improve and intergrate site-specific weather forecasts to support Shell's global operations

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The overall aim of this research project will be to investigate how weather forecasting models can be improved and interegrated to support decision-making in a variety of Shell's global operations, including Global Commercials, Trading & Supply and New Energies (Renewable Power and e-mobility).The underlying forecasting frameworks will be WRF (Weather Research and Forecasting Model) which is currently used by Shell to provide high-resolution, site-specific forecasts, as well as Imperial College's next-generation Gusto model, which used advanced discretisation methods on flexible meshes and it built using the highly scalable Firedrake code generation framework.