ClusterTech presented cutting-edge atmospheric modeling research at the workshop "Navigating the Turbulence Grey Zone in Numerical Weather Prediction" organized by the University of Exeter (Exeter, 23-25 June 2025). Mr. Chris Cheung, Senior Director of Technology, showcased a technical poster titled: "Numerical weather prediction at 200 m local resolution based on the unstructured grid CPAS model" - highlighting unprecedented capabilities of the ClusterTech Platform for Atmospheric Simulation (CPAS).
This poster demonstrated how CPAS's unstructured grid architecture enables 200-meter local resolution, significantly advancing fine-scale weather prediction within the critical grey-zone scale (100m–1km). Key innovations included:
- Use of scale-aware turbulence parameterization for ultra-high-resolution applications.
- Computational efficiency through Customized Unstructured Mesh Generation and Hierarchical Time-Stepping for ultra-high-resolution local refinement of global mesh for a city.
- Enhanced cross-scale physics coupling across synoptic scale to microscale.
- Investigation of near-surface wakes and recirculation near complex terrain.
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This research directly addresses core modeling challenges where traditional approaches either lose predictive accuracy for specific locations due to coarse resolution, or involving prohibitively expensive computational resources for large-domain high-resolution simulations. The presentation attracted strong interest from global NWP experts at the premier forum, validating CPAS's approach to high-fidelity atmospheric simulation.
ClusterTech continues to advance CPAS capabilities for urban meteorology, extreme weather forecasting, and regional climate applications.
Workshop details: https://dvlaykov.github.io/turbulence-grey-zone-nwp/schedule/