Articles | Volume 26, issue 14
https://doi.org/10.5194/acp-26-10379-2026
https://doi.org/10.5194/acp-26-10379-2026
Research article
 | 
24 Jul 2026
Research article |  | 24 Jul 2026

Spatiotemporal optimization of NOx and VOC emissions using a hybrid inversion framework and implications for ozone sensitivity-regime diagnosis

Jeonghyeok Moon, Wonbae Jeon, Sujong Jeong, Yunsoo Choi, Hyun Cheol Kim, Soon-Young Park, Juseon Bak, Jung-Woo Yoo, Jaehyeong Park, Dongjin Kim, Hyeonsik Choe, Chae-Yeong Yang, and Min Heo

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

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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.
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