- 1Department of Environmental Engineering and Energy, Myongji University, Yongin, 17058, Republic of Korea (yejin@mju.ac.kr)
- 2Department of Environmental Engineering and Energy, Myongji University, Yongin, 17058, Republic of Korea (minjoongkim@mju.ac.kr)
- 3Department of Environmental Science, Hankuk University of Foreign Studies, Yongin, 17035, Republic of Korea (thlee@hufs.ac.kr)
- 4Department of Environmental Science, Hankuk University of Foreign Studies, Yongin, 17035, Republic of Korea (sji980115@naver.com)
- 5Department of Environmental and Energy Engineering, Anyang University, Anyang, 14028, Republic of Korea (drchoi@anyang.ac.kr)
- 6Air Quality Forecasting Center, National Institute of Environmental Research (NIER), Incheon, 22689, Republic of Korea (schong@korea.kr)
- 7Air Quality Forecasting Center, National Institute of Environmental Research (NIER), Incheon, 22689, Republic of Korea (gercljb@korea.kr)
- 8Air Quality Forecasting Center, National Institute of Environmental Research (NIER), Incheon, 22689, Republic of Korea (lyhee94@korea.kr)
The nocturnal nitrogen cycle strongly influences wintertime air quality by governing the formation of particulate nitrate and nitryl chloride (ClNO2), but it remains difficult to simulate accurately in chemical transport models because of uncertainties in heterogeneous N2O5 chemistry and chloride availability. This study investigates how these two factors jointly affect model representation of nighttime nitrogen chemistry and whether their combined revision can improve simulations of particulate nitrate and ClNO2. Using field observations and CMAQ simulations, we revised two key components of the nocturnal nitrogen cycle. First, observation-constrained parameterizations were applied to update the N2O5 uptake coefficient and ClNO2 yield. Second, chloride source representation was improved by incorporating additional anthropogenic and natural chlorine emissions. The revised framework was then used to examine the individual and combined effects of chemical and emission updates on the nighttime conversion of NOx to particulate nitrate and ClNO2. The results show that revising either heterogeneous chemistry or chloride sources alone provided only partial improvement, whereas the most substantial improvement was obtained when both were updated together. In particular, correcting the N2O5 uptake coefficient and ClNO2 yield reduced biases in nocturnal heterogeneous processing, while improved chloride emissions provided a more realistic reservoir for ClNO2 formation. Together, these changes led to a more consistent representation of the nocturnal nitrogen cycle and improved simulations of both particulate nitrate and ClNO2. These findings highlight that accurate prediction of wintertime particulate nitrate requires the coupled treatment of heterogeneous N2O5 chemistry and chloride source availability.
Acknowledgment: This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. RS-2025-16070879).
How to cite: Ma, Y., Kim, M. J., Lee, T., Song, J., Choi, D.-R., Hong, S.-C., Lee, J.-B., and Lee, Y.: Joint Effects of N2O5 Heterogeneous Chemistry and Chloride Sources on the Nocturnal Nitrogen Cycle, EMS Annual Meeting 2026, Utrecht, Netherlands, 6–11 Sep 2026, EMS2026-452, https://doi.org/10.5194/ems2026-452, 2026.