GPU-accelerated finite-element method for the three-dimensional unstructured mesh atmospheric dynamic framework

Li, Leisheng; Fu, Ximeng; Zheng, Xiyu; Li, Huiyuan; Li, Jinxi

doi:10.5194/gmd-19-7525-2026

Articles | Volume 19, issue 15

https://doi.org/10.5194/gmd-19-7525-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-19-7525-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 15

Development and technical paper

|

14 Aug 2026

Development and technical paper |

| 14 Aug 2026

GPU-accelerated finite-element method for the three-dimensional unstructured mesh atmospheric dynamic framework

Leisheng Li, Ximeng Fu, Xiyu Zheng, Huiyuan Li, and Jinxi Li

Data sets

Atmospheric Mountain Wave Simulation Dataset (Fluidity-Atmosphere) Leisheng Li et al. https://doi.org/10.5281/zenodo.17824052

Model code and software

GPU-Accelerated Implementation of the Fluidity-Atmosphere Dynamical Core Ximeng Fu https://doi.org/10.5281/zenodo.18799735

Fluidity manual AMCG https://fluidityproject.github.io/get-fluidity.html

Short summary

Scientists use irregular grid models for accurate weather simulation, which help capture details but also make the calculations slow on traditional computers. We redesigned this model for Graphics Processing Units (GPUs) by reorganizing data and calculations. This makes the slowest parts hundreds of times faster and the whole simulation over ten times faster. This allows for higher-resolution simulations.