Summary
This paper reviews progress toward kilometre-scale climate modelling using both global and regional approaches, with particular emphasis on GPU-based computational implementation. The authors demonstrate that explicit treatment of moist convection at this resolution promises substantial improvements to water cycle and extreme weather simulation. A central practical contribution is the proposal that online analysis and bit-reproducible simulation approaches offer more viable solutions than conventional data archival for managing the exponential growth in output volumes inherent to high-resolution climate research.
UK applicability
The computational and methodological advances presented are applicable to UK climate research infrastructure, particularly for improving extreme weather and precipitation forecasting relevant to British agricultural resilience planning. The data management strategies proposed may inform UK climate modelling centres' approaches to handling high-resolution simulation outputs.
Key measures
Model horizontal resolution (kilometre scale), computational efficiency on GPU hardware, data output volumes, simulation reproducibility across hardware architectures, representation of moist convection and extreme weather phenomena
Outcomes reported
The study demonstrated GPU-based implementation of regional climate models at kilometre-scale resolution and evaluated data management strategies for high-resolution climate simulations. It assessed the capacity to conduct multiweek global and decadal continental-scale climate simulations with explicit convection treatment rather than parameterisation.
Topic tags
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