Session

DescriptionClouds play an important role in the weather and climate system. High-quality observations and experiments have advanced our understanding of cloud processes. Studies have shown that detailed parameterizations of processes, such as aerosol-cloud-precipitation interactions, cumulus convection and cloud radiative forcing are essential for accurate weather and climate predictions. Meanwhile, increasing heterogeneity of computational architectures and diversity of programming models pose a pivotal challenge for high performance scientific computing in the exascale era. In this minisymposium we wil describe various research efforts to incorporate cloud resolving capability into major weather and climate models using diverse programming models that effectively target pre-exascale and exascale supercomputers. Under the Exascale Computing Project (ECP), the first effort is focused on integrating cloud-resolving convective parameterization (superparameterization) into the Energy Exascale Earth System Model (E3SM) using OpenACC to target GPUs. Second, the Simple Cloud Resolving E3SM Atmosphere Model (SCREAM) effort aims to develop a new global cloud-resolving model written in templated C++ and Kokkos for performance portability. Third speaker will discuss acceleration of cloud physics and atmospheric models using GPUs and FPGAs in the context of Met Office Unified Model (UM) components. Finally, a panel session is intended to discuss application development experiences and collaboration opportunities.