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High resolution Earth system modeling on large supercomputersA065: Session Proposal: https://agu.confex.com/agu/fm21/webprogrampreliminary/Session120624.html
A43D: Session I - Oral Presentations: https://agu.confex.com/agu/fm21/meetingapp.cgi/Session/140105
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The atmosphere is a complex system involving physical, chemical, and biogeochemical processes spanning a wide range of spatial and temporal scales. Accurate representations of the interactions between processes and/or scales are important for high-quality predictions made by numerical models. Ongoing increases in model resolution and complexity present both new opportunities for more accurate results and new challenges in efficient use of computing resources. This session discusses process coupling in weather and climate models, with an emphasis on addressing computational and numerical concerns. Relevant topics include, e.g., (1) identification of crucial interactions in numerical simulations, (2) computational methods for coupling different processes and/or scales, (3) problems to be solved in current and emerging models, (4) idealized models and test cases to facilitate the development of complex models, and (5) model reduction studies that produce alternative model formulations or novel computational methods to improve solution accuracy and efficiency.
IN015 - Climate Model Computational Performance: State of the Practice (combined session including AI below)
https://agu.confex.com/agu/fm21/prelim.cgi/Session/119925
Coupled climate models present a singular challenge in terms of computational complexity and efficient utilization of state of the art supercomputing resources. There has been a Cambrian explosion of hardware architectures and associated software toolchains that are deployed or planned for the leadership-class supercomputers around the world. This has led to a multitude of programming and modeling approaches to target accelerators like Graphical Processing Units (GPUs) while incrementally integrating such sub-models for coupled climate model simulations. This session is intended to share current status of computational performance and best practices from diverse modeling groups. We solicit papers addressing computational performance of Earth system models preferably in real-world settings (production simulation campaigns in lieu of kernel benchmarks) with emphasis on metrics including model throughput, energy efficiency, I/O volume and read/write bandwidths etc. informed by initiatives like the CPMIP effort. Furthermore, we encourage submissions describing early performance from pathfinding work targeting future architectures.
Accelerating Earth System Predictability: Advances in High Performance Computing, Numerical modeling, Artificial Intelligence and Machine Learning
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/wiki/spaces/PROBSLR/pages/3043328154
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