Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 15
Articles | Volume 19, issue 15
https://doi.org/10.5194/gmd-19-7303-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-7303-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 15
Model description paper
 | 
06 Aug 2026
Model description paper |  | 06 Aug 2026

SPIN (v1.0): A spontaneous synthetic tropical cyclone model empowered by NeuralGCM for hazard assessment

Yurong Gao and Dazhi Xi

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Short summary
Artificial intelligence offers a new way to assess tropical cyclone hazards. We developed a hybrid hazard model that combines a Neural General Circulation Model for storm tracks with a dynamical method for intensity. Our results highlight the potential of rapid, low-cost, hourly simulations of synthetic tropical cyclones to assess compound hazards, exemplified by the model's ability to represent tropical cyclone clusters with dynamical connections.
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