Session

DescriptionHPC is driving scientific progress in fields as diverse as weather forecasting, life sciences and physics simulations. However, adapting to the evolving hardware diversity is a major challenge for the climate, weather, and geoscience community, as their codes are often very large and have evolved over decades. This minisymposium focuses on the challenges faced by weather and climate model developers: 1. Optimising performance and parallel programming on diverse supercomputers, despite programming standards that often require manual coding for system transitions. 2. Exploring new tools and languages for better productivity and performance on different hardware, balancing optimisations without compromising performance. 3. Improve code modularity and software practices for large scientific bases, adapting to evolving hardware and scientific needs. 4. Bridging the gap between domain scientists and research software engineers, balancing coding expertise with performance optimisation. The minisymposium is twinned with the session “High resolution simulations on large HPC systems”, which takes a closer look at recent results gained on (pre-)exascale systems for different weather and climate models.