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Co-organized Sessions: Call for Contributions
A002 - Advanced Methods for Systematic Evaluation and Improvement of Earth System Models
The latest generation of Earth system models (ESMs) participating in the Coupled Model Intercomparison Project Phase 6 (CMIP6) has improved owing to a combination of increased model resolution and more advanced parameterization of unresolved physical processes, such as those for convection, cloud microphysics, or surface processes. More advanced models may not be synonymous with reduced uncertainty; increasing complexity may be associated with increased uncertainty in model parameters or structural choices. It is crucial that methodologies are developed for systematically improving models to ensure the reliability of climate projections and refinement of climate sensitivity estimates. In this session, we welcome presentations on advances in developing and calibrating models using observations (e.g. satellite, airborne, or ground-based) and/or high-resolution model simulations. Presentations that focus on ESM parameter estimation, autotuning, and emulator/surrogate based tuning, as well as methods that directly address structural errors in models (e.g., using machine learning) or observational uncertainties are welcomed.
A065: High resolution Earth system modeling on large supercomputers
High resolution Earth system modeling offers significant opportunities for improving the quality of simulations, particularly for water cycle processes and extreme events. Increase in model resolution and complexity presents significant challenges on many fronts. These include evaluation, diagnosis, and analysis of model simulations, as well as uncertainty quantification, computational performance, and model initialization and data assimilation. This session aims to bring together scientists who develop, run, evaluate, and analyze coupled global and regional Earth system models and their components at high resolution on high performance computers. With submissions particularly encouraged on ~10 km and ultra-high (order km) scales, this session welcomes contributions on development of parameterizations to improve model components and the coupled system at these resolutions. The session also encourages presentations on high-resolution simulations from model intercomparison projects such as HighResMIP, DYAMOND, and OMIP, as well as development of observational datasets and metrics for evaluation of such high-resolution simulations.
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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.
IN015 : Accelerating Earth System Predictability: Advances in High Performance Computing, Numerical modeling, Artificial Intelligence and Machine Learning
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