Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 21
Articles | Volume 18, issue 21
https://doi.org/10.5194/gmd-18-8175-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-8175-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 21
Model description paper
 | 
05 Nov 2025
Model description paper |  | 05 Nov 2025

HOPE: an arbitrary-order non-oscillatory finite-volume shallow water dynamical core with automatic differentiation

Lilong Zhou, Wei Xue, and Xueshun Shen

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Short summary
This study develops a novel physics-based weather prediction model using artificial intelligence development platform, achieving high accuracy while maintaining strict physical conservation laws. Our algorithms are optimized for modern super computers, enabling efficient large-scale weather simulations. A key innovation is the model's inherent differentiable nature, allowing seamless integration with AI systems to enhance predictive capabilities through machine learning techniques.
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