Photochemical mechanism–dependent ozone formation and precursor sensitivity under varying NOₓ conditions
Abstract. Photochemical mechanisms are core components of air quality models, yet differences among them introduce substantial uncertainty in ozone (O3) simulations. Here, we systematically evaluate three widely used mechanisms (CB06, SAPRC07, and RACM2) using the CMAQ model during an O3 pollution episode in Chengdu, China. To ensure consistency, a customized volatile organic compounds emission inventory was developed for RACM2. The results show pronounced inter-mechanistic differences in simulated O3, radical chemistry, and precursor sensitivities under distinct NOx conditions. SAPRC07 and RACM2 produced higher and comparable O3 levels (~95 ppbv) with better performance in urban areas, whereas CB06 simulated lower O3 (~80 ppbv) and performed better under low-NOₓ conditions. These differences are linked to variations in radical concentrations and reaction pathways, with RACM2 yielding the highest OH levels, SAPRC07 better capturing HO₂, and CB06 simulating lower RO2. Despite these discrepancies, all mechanisms consistently reproduced the dominant O3 formation pathway, with RO2+NO contributing over 50 % of net production. However, radical sources and termination pathways differed substantially between urban and suburban environments, reflecting regime-dependent chemistry. Sensitivity analysis further shows that anthropogenic aromatics and alkenes dominate urban O3 formation, whereas biogenic emissions dominate in suburban areas. Notably, O3 sensitivity to biogenic emissions is higher in urban high-NOx conditions, highlighting an amplified biogenic contribution. These findings demonstrate that mechanism choice fundamentally affects O3 formation and precursor sensitivities, emphasizing the need for multi-mechanism approaches to improve model reliability and support effective emission control strategies.
General comments
This paper presents the comparison of three different chemical mechanisms (CB06, SAPRC07, RACM2) embedded in the CMAQ model frame focussing on ozone and its precursors. Model results are compared to trace gas and radical measurements conducted at an urban and a suburban site in Chengdu, China. Eventually, a budget analysis of ozone and ROx radicals and a sensitivity analysis of ozone to NOx and VOC emissions is presented.
Trends found in the ozone production and loss pathways are not unexpected. Differences in the chemical mechanisms arise mainly from variations in radical concentrations and mechanism-specific reaction pathways, which however are not discussed in detail.
Overall, this paper showcases the impact of using different chemical mechanisms in modelling air quality in China. Previous studies already investigated the intercomparibility of the different chemical mechanisms in different regions, however, to the reviewer’s knowledge there is no study in the Chengdu region yet. Even though, the presented data set is comparably small, it complements the previous studies and gives insights into the the sensitivity of air quality modelling in China to the chosen chemical mechanism.
Therfore, the reviewer recommends this paper to be considered for publication after major changes have been made.
Major comments
Technical corrections