Description:

High performance computing continues to advance with the incorporation of powerful accelerators and larger and faster storage systems. These increased computational capabilities support the nesting and coupling of combinations of climate, global, mesoscale, and turbulence-resolving models and allow for investigations of flow features and their influence across conventional model scales. These performance increases may be further augmented by AI models which have been shown to be able to further enhance model capabilities. Therefore, this session seeks submissions which focus on the utilization or enhancement of multiscale modeling frameworks to study the inherent relationships that exist across the scales of atmospheric motion as well as the benefits that trends in high performance computing have had or may have in the future towards advancing the use of multiscale modeling approaches.