Articles | Volume 18, issue 21
https://doi.org/10.5194/gmd-18-8253-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-8253-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
06 Nov 2025
Development and technical paper |
| 06 Nov 2025
| 06 Nov 2025
Stripe patterns in wind forecasts induced by physics-dynamics coupling on a staggered grid in CMA-GFS 3.0
State Key Laboratory of Severe Weather Meteorological Science and Technology, Beijing, 10081, China
CMA Earth System Modeling and Prediction Centre (CEMC), Beijing, 10081, China
Key Laboratory of Earth System Modeling and Prediction, China Meteorological Administration, Beijing, 10081, China
Yong Su
State Key Laboratory of Severe Weather Meteorological Science and Technology, Beijing, 10081, China
CMA Earth System Modeling and Prediction Centre (CEMC), Beijing, 10081, China
Key Laboratory of Earth System Modeling and Prediction, China Meteorological Administration, Beijing, 10081, China
State Key Laboratory of Severe Weather Meteorological Science and Technology, Beijing, 10081, China
CMA Earth System Modeling and Prediction Centre (CEMC), Beijing, 10081, China
Key Laboratory of Earth System Modeling and Prediction, China Meteorological Administration, Beijing, 10081, China
Zhanshan Ma
State Key Laboratory of Severe Weather Meteorological Science and Technology, Beijing, 10081, China
CMA Earth System Modeling and Prediction Centre (CEMC), Beijing, 10081, China
Key Laboratory of Earth System Modeling and Prediction, China Meteorological Administration, Beijing, 10081, China
Xueshun Shen
CORRESPONDING AUTHOR
State Key Laboratory of Severe Weather Meteorological Science and Technology, Beijing, 10081, China
CMA Earth System Modeling and Prediction Centre (CEMC), Beijing, 10081, China
Key Laboratory of Earth System Modeling and Prediction, China Meteorological Administration, Beijing, 10081, China
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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.
Weather forecasts sometimes show high-frequency noise degrading predictions. Our study reveals...
