Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 4
Articles | Volume 18, issue 4
https://doi.org/10.5194/gmd-18-1089-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-1089-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 4
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

Viewed

Total article views: 7,170 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,398 1,378 2,394 7,170 326 216 342
  • HTML: 3,398
  • PDF: 1,378
  • XML: 2,394
  • Total: 7,170
  • Supplement: 326
  • BibTeX: 216
  • EndNote: 342
Views and downloads (calculated since 27 Sep 2024)
Cumulative views and downloads (calculated since 27 Sep 2024)

Viewed (geographical distribution)

Total article views: 7,170 (including HTML, PDF, and XML) Thereof 7,107 with geography defined and 63 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Sep 2026
Download
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.
Read more
Share