Articles | Volume 18, issue 4
https://doi.org/10.5194/gmd-18-1089-2025
https://doi.org/10.5194/gmd-18-1089-2025
Development and technical paper
 | 
25 Feb 2025
Development and technical paper |  | 25 Feb 2025

Enhancing single precision with quasi-double precision: achieving double-precision accuracy in the Model for Prediction Across Scales – Atmosphere (MPAS-A) version 8.2.1

Jiayi Lai, Lanning Wang, Qizhong Wu, Yizhou Yang, and Fang Wang

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Latest update: 10 Jul 2025
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Short summary
High-performance computing limitations often hinder numerical model development. Traditional models use double precision for accuracy, which is computationally expensive. Lower precision reduces costs but can introduce errors. The quasi-double-precision (QDP) algorithm helps mitigate these errors. This study applies the QDP algorithm to the Model for Prediction Across Scales – Atmosphere, showing reduced errors and computational time, making it an efficient solution for large-scale simulations.
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