Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 26, issue 10
Articles | Volume 26, issue 10
https://doi.org/10.5194/acp-26-7261-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-7261-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 10
Technical note
 | 
27 May 2026
Technical note |  | 27 May 2026

Technical note: A flexible framework for precision reduction of WRF inputs and outputs to balance storage efficiency and scientific fidelity

Shang Wu, David C. Wong, Jiandong Wang, Yuzhi Jin, Junjun Li, and Chunsong Lu

Supplement

https://doi.org/10.5194/acp-26-7261-2026-supplement

Data sets

Dataset for the paper 'A Flexible Framework for Precision Reduction of WRF Inputs and Outputs to Balance Storage Efficiency and Scientific Fidelity' David Wong and Shang Wu https://doi.org/10.5281/zenodo.19781791

Dataset for the paper 'A Flexible Framework for Precision Truncation and Lossless Compression in WRF Simulations: Method and Application over the United States' Shang Wu and David Wong https://doi.org/10.5281/zenodo.17139028

Model code and software

Precision Reduction tool for the paper 'A Flexible Framework for Precision Reduction of WRF Inputs and Outputs to Balance Storage Efficiency and Scientific Fidelity' David Wong and Shang Wu https://doi.org/10.5281/zenodo.19199806

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Short summary
High-resolution weather and climate simulations produce massive amounts of data, creating major storage challenges. This study explores a method that reduces unnecessary numerical detail by keeping only a limited number of significant digits. The results show that substantial data reduction can be achieved while preserving key physical features. 
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