,,- Institute of Atmospheric Physics/CAS, State Key Laboratory of Atmospheric Environment and Extreme Meteorology, Beijing, China (panxiaole@mail.iap.ac.cn)
The atmospheric pollutants forecast is mainly limited by high uncertainties in emissions, meteorology and chemo-physical processes. Although static monitoring networks have expanded significantly in recent years, large-scale comprehensive mobile observation campaigns remain scare, particularly in high emission region. To address this need, we executed a on-road mobile campaign covering over 5000 km accross the North China Plain in June 2025 utilizing a zero-emission comprehensive mobile platform equipped with numbers of high-precision instruments (SPAMS, SP2, SMPS, VOCUS-PTR, PM2.5/O3/NOx analyzer etc.). The campaign is guided by atmospheric pollution sensitivity analysis. The observations revealed complex evolutionary characteristics and high spatiotemporal heterogeneity of pollutants within identified sensitive hotspots, and the data were assimilated into the Nested Air Quality Prediction Modeling System (NAQPMS) using a three-dimensional variational (3D-Var) assimilation system. Compared to the control run, the model performance for atmospheric chemical components along the mobile path improved, validating the effectiveness of the "sensitivity identification–mobile observation–data assimilation" closed-loop system.
How to cite: Pan, X., Yao, W., Liu, H., Ye, J., and Wang, Z.: Unveiling pollution emission heterogeneity in atmospheric sensitivity hotspots: insights from a ~6000-km comprehensive road-based campaign, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4389, https://doi.org/10.5194/egusphere-egu26-4389, 2026.
