High-resolution Earth system modeling offers significant opportunities for improving simulations from small scales, e.g., water cycle processes and extreme events, to large scales, e.g., tropical Pacific trends. However, increases in model resolution and complexity also pose substantial scientific and technical challenges. These include suitability of resolution for target science questions; evaluation, diagnosis, and analysis of model simulations; ensemble generation; spin-up length; uncertainty quantification; computational performance; scale-aware parameterizations; model initialization and data assimilation; and data storage and archival. Furthermore, high-resolution simulations are increasingly being used to train AI emulators, while AI agents are applied to streamline high-resolution modeling workflows, including model configuration, quality control, archiving, and analysis of model outputs. This session welcomes contributions in high- (~10 km), ultra-high (~km), and multi-resolution modelling to foster scientific exchange, coordination, and collaboration. The session also encourages presentations on model intercomparison projects such as HighResMIP, DYAMOND, and OMIP, and ensemble modeling at high resolution.

• GC - Global Environmental Change
• OS - Ocean Sciences