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.
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.
the Creative Commons Attribution 4.0 License.
Technical note
| 
27 May 2026
Technical note |
| 27 May 2026
| 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
State Key Laboratory of Climate System Prediction and Risk Management, China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory, and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
David C. Wong
CORRESPONDING AUTHOR
Applied Science & Environmental Methods Division, Office of Applied Science and Environmental Solutions, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA
State Key Laboratory of Climate System Prediction and Risk Management, China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory, and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
Yuzhi Jin
State Key Laboratory of Climate System Prediction and Risk Management, China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory, and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
Junjun Li
National Institute of Education (NIE), Nanyang Technological University (NTU), 637616, Singapore
Chunsong Lu
State Key Laboratory of Climate System Prediction and Risk Management, China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory, and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
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Xiaochun Zhu, Le Cao, Xin Yang, Simeng Li, Jiandong Wang, and Tianliang Zhao
Atmos. Chem. Phys., 25, 12159–12176, https://doi.org/10.5194/acp-25-12159-2025, https://doi.org/10.5194/acp-25-12159-2025, 2025
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Atmos. Chem. Phys., 25, 7431–7446, https://doi.org/10.5194/acp-25-7431-2025, https://doi.org/10.5194/acp-25-7431-2025, 2025
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Zeyuan Tian, Jiandong Wang, Jiaping Wang, Chao Liu, Jia Xing, Jinbo Wang, Zhouyang Zhang, Yuzhi Jin, Sunan Shen, Bin Wang, Wei Nie, Xin Huang, and Aijun Ding
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Yuzhi Jin, Jiandong Wang, Chao Liu, David C. Wong, Golam Sarwar, Kathleen M. Fahey, Shang Wu, Jiaping Wang, Jing Cai, Zeyuan Tian, Zhouyang Zhang, Jia Xing, Aijun Ding, and Shuxiao Wang
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Jiandong Wang, Jia Xing, Shuxiao Wang, Rohit Mathur, Jiaping Wang, Yuqiang Zhang, Chao Liu, Jonathan Pleim, Dian Ding, Xing Chang, Jingkun Jiang, Peng Zhao, Shovan Kumar Sahu, Yuzhi Jin, David C. Wong, and Jiming Hao
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Jing Cai, Cheng Wu, Jiandong Wang, Wei Du, Feixue Zheng, Simo Hakala, Xiaolong Fan, Biwu Chu, Lei Yao, Zemin Feng, Yongchun Liu, Yele Sun, Jun Zheng, Chao Yan, Federico Bianchi, Markku Kulmala, Claudia Mohr, and Kaspar R. Daellenbach
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Amir H. Souri, Kelly Chance, Juseon Bak, Caroline R. Nowlan, Gonzalo González Abad, Yeonjin Jung, David C. Wong, Jingqiu Mao, and Xiong Liu
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Kai Wang, Yang Zhang, Shaocai Yu, David C. Wong, Jonathan Pleim, Rohit Mathur, James T. Kelly, and Michelle Bell
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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.
High-resolution weather and climate simulations produce massive amounts of data, creating major...
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