Articles | Volume 26, issue 14
https://doi.org/10.5194/acp-26-10379-2026
© 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-26-10379-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Spatiotemporal optimization of NOx and VOC emissions using a hybrid inversion framework and implications for ozone sensitivity-regime diagnosis
Jeonghyeok Moon
Environmental Planning Institute, Seoul National University, Seoul 08826, South Korea
BK21 School of Earth and Environmental System, Pusan National University, Busan 46241, South Korea
Department of Atmospheric Sciences, Pusan National University, Busan 46241, South Korea
Institute of Environmental Studies, Pusan National University, Busan 46241, South Korea
Sujong Jeong
Environmental Planning Institute, Seoul National University, Seoul 08826, South Korea
Department of Environmental Management, Graduate School of Environmental Studies, Seoul National University, Seoul 08826, South Korea
Climate Tech Center, Seoul National University, Seoul 08826, South Korea
Institute for Sustainable Development, Seoul National University, Seoul 08826, South Korea
Yunsoo Choi
Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX 77204, USA
Hyun Cheol Kim
Air Resources Laboratory, National Oceanic and Atmospheric Administration, College Park, MD 20740, USA
Cooperative Institute for Satellite Earth System Studies, University of Maryland, College Park, MD 20742, USA
Soon-Young Park
Department of Science Education, Daegu National University of Education, Daegu 42411, South Korea
Juseon Bak
Institute of Environmental Studies, Pusan National University, Busan 46241, South Korea
Jung-Woo Yoo
Institute of Environmental Studies, Pusan National University, Busan 46241, South Korea
Jaehyeong Park
Division of Earth Environmental System, Pusan National University, Busan 46241, South Korea
Dongjin Kim
BK21 School of Earth and Environmental System, Pusan National University, Busan 46241, South Korea
Division of Earth Environmental System, Pusan National University, Busan 46241, South Korea
Hyeonsik Choe
BK21 School of Earth and Environmental System, Pusan National University, Busan 46241, South Korea
Division of Earth Environmental System, Pusan National University, Busan 46241, South Korea
Chae-Yeong Yang
BK21 School of Earth and Environmental System, Pusan National University, Busan 46241, South Korea
Division of Earth Environmental System, Pusan National University, Busan 46241, South Korea
BK21 School of Earth and Environmental System, Pusan National University, Busan 46241, South Korea
Division of Earth Environmental System, Pusan National University, Busan 46241, South Korea
Data sets
ROCR isoprene retrievals from the CrIS satellite sensor K. C. Wells and D. B. Millet https://doi.org/10.13020/5n0j-wx73
ERA5 hourly data on pressure levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.bd0915c6
ERA5 hourly data on single levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.adbb2d47
Model code and software
CMAQ 5.0 Adjoint S. Zhao et al. https://doi.org/10.5281/zenodo.3780216
Short summary
This study develops a hybrid inverse modeling framework to better estimate the spatiotemporal distributions of nitrogen oxides (NOx) and volatile organic compound (VOC) emissions over South Korea. The optimized emissions improve ozone simulations and clarify whether ozone formation is more sensitive to NOx or to VOC. By identifying when precursor emissions exert the strongest influence on ozone, this work provides time-resolved guidance for region-specific air quality strategies.
This study develops a hybrid inverse modeling framework to better estimate the spatiotemporal...
Altmetrics
Final-revised paper
Preprint