Session

DescriptionTo enhance the reliability and accuracy of weather and climate simulations, smaller scales and additional atmospheric processes have to be taken into account. This increases the memory and computational demand, often exceeding the capabilities of modern supercomputers. Adaptive methods present a solution by dynamically focussing computational power in specific areas in time and space, thereby significantly improving detail while maintaining low runtime and resource consumption. In spite of their great potential, there are many challenges to face, such as a sophisticated selection of adaptation strategies and a careful technical consideration of memory layouts and communication patterns to maintain good performance and scalability even on hundreds of GPUs like present in upcoming supercomputers. In this minisymposium, we will showcase advanced and highly efficient numerical schemes covering mesh management, computational fluid dynamics with discontinuous Galerkin methods, and multiresolution-based objective error estimation. Applications in chemistry climate modeling, atmospheric transport processes, and flooding simulation, will be presented and the ongoing efforts and challenges in adopting such schemes will be discussed. The overarching goal is to reach exascale capability with efficient adaptive algorithms.