IAA – Accelerating climate- and weather-forecasts with faster multigrid solvers

Project: Research council

Project Details


The overarching aim of this project was to implement novel multigrid solvers in the Met Office climate- and weather forecast models.

The success of the Met Office models relies on fast numerical methods for the solution of very large systems of equations; this can account for 25%-50% of the model runtime. Forecasts are generated under tight time constraints and efficient algorithms are crucial. For its next generation forecast model (codenamed “LFRic”) the Met Office is exploring a so-called “hybridised” solver algorithm, which has shown great promise but only achieves its full potential when combined with multigrid techniques developed by the PI. A recent publication [Betteridge et al., JPC Vol 426, 109948 (2021)] demonstrates the efficiency of the hybridised multigrid approach for an idealised model system and a related discretisation.

The main purpose of this IAA project was to generate impact by accelerating solvers with hybridised multigrid methods in the next-generation “LFRic” code. In addition, it was also planned to improve the multigrid solvers in the current Met Office model.
Effective start/end date1/06/2130/06/22


  • Engineering and Physical Sciences Research Council

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 13 - Climate Action


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