Articles | Volume 18, issue 21
https://doi.org/10.5194/gmd-18-8253-2025
https://doi.org/10.5194/gmd-18-8253-2025
Development and technical paper
 | 
06 Nov 2025
Development and technical paper |  | 06 Nov 2025

Stripe patterns in wind forecasts induced by physics-dynamics coupling on a staggered grid in CMA-GFS 3.0

Jiong Chen, Yong Su, Zhe Li, Zhanshan Ma, and Xueshun Shen

Data sets

Replication data: Stripe Patterns in Wind Forecasts Induced by Physics-Dynamics Coupling on a Staggered Grid in CMA-GFS 3.0 J. Chen et al. https://doi.org/10.5281/zenodo.15597504

Model code and software

CMA-GFS 3.0_code_egusphere-2025-2704 J. Chen et al. https://doi.org/10.5281/zenodo.16516966

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Short summary
Weather forecasts sometimes show high-frequency noise degrading predictions. Our study reveals stripe patterns arise from mismatches between dynamic and physical calculations in models. Simplified experiments demonstrate that adjusting their connection eliminates stripes. This advances numerical weather prediction understanding, aiding forecasters and the public. Our diagnostic methods provide a framework for solving this global meteorological modeling challenge.
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