Articles | Volume 26, issue 3
https://doi.org/10.5194/acp-26-1889-2026
© 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-26-1889-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Feb 2026
Research article |
| 06 Feb 2026
| 06 Feb 2026
Why observed and modelled ozone production rates and sensitives differ, a case study at rural site in China
College of Environment and Climate, Institute for Environment and Climate Research, Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou 511443, China
Bin Jiang
College of Environment and Climate, Institute for Environment and Climate Research, Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou 511443, China
Bowen Zhong
College of Environment and Climate, Institute for Environment and Climate Research, Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou 511443, China
Tao Zhang
Environmental Key Laboratory of Regional Air Quality Monitoring, Ministry of Ecology and Environment, Guangdong Ecological and Environmental Monitoring Center, Guangzhou 511443, China
Duohong Chen
Environmental Key Laboratory of Regional Air Quality Monitoring, Ministry of Ecology and Environment, Guangdong Ecological and Environmental Monitoring Center, Guangzhou 511443, China
Yuhong Zhai
Environmental Key Laboratory of Regional Air Quality Monitoring, Ministry of Ecology and Environment, Guangdong Ecological and Environmental Monitoring Center, Guangzhou 511443, China
Li Zhong
College of Environment and Climate, Institute for Environment and Climate Research, Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou 511443, China
Zhijiong Huang
College of Environment and Climate, Institute for Environment and Climate Research, Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou 511443, China
Junqing Luo
College of Environment and Climate, Institute for Environment and Climate Research, Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou 511443, China
Minhui Deng
College of Environment and Climate, Institute for Environment and Climate Research, Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou 511443, China
Mao Xiao
Sichuan Academy of Environmental Sciences, Chengdu 610041, China
Biogas Institute of Ministry of Agriculture and Rural Affairs, Chengdu 610041, China
Jianhui Jiang
Global Institute for Urban and Regional Sustainability, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China
Institute of Eco-Chongming, East China Normal University, Shanghai 200241, China
Jing Li
College of Environment and Climate, Institute for Environment and Climate Research, Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou 511443, China
Min Shao
CORRESPONDING AUTHOR
College of Environment and Climate, Institute for Environment and Climate Research, Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou 511443, China
Data sets
junner15/Why observed and modelled ozone production rates and sensitives differ, a case study at a regional site in China (Data) Jun Zhou and Min Shao https://doi.org/10.5281/zenodo.18337922
Short summary
We quantitatively assessed the P(O3)net simulation deficits and their impact on O3 formation sensitivity (OFS diagnosis) by comparing the measured and modelled P(O3)net. Unmeasured oxygenated VOCs (OVOCs) were the most effective compensating factor for the discrepancies in both P(O3)net and OFS. OFS exhibiting a diurnal shift dominated by the morning regime; prioritizing VOCs while co-controlling NOx is the most effective strategy for O3 pollution control in the PRD region.
We quantitatively assessed the P(O3)net simulation deficits and their impact on O3 formation...
Altmetrics
Final-revised paper
Preprint