Quantifying the anthropogenic and meteorological influences on summertime surface ozone in China over 2012–2017

Chinese Regulations Are Working—Why Is Surface Ozone Over Industrialized Areas Still High? Applying Lessons From Northeast US Air Quality Evolution

“…Besides the anthropogenic factors (NO x , VOCs, and PM 2.5 ), the observed short-term variability in surface O 3 is also affected by natural processes such as changes in meteorology conditions (Dang et al, 2021;Han et al, 2020;. influences on surface O 3 concentrations in China with multiple linear regression by considering 10 local meteorological variables (relative humidity, cloud fraction, temperature, planetary boundary layer height, wind speeds/geopotential height, and sea level pressure), and two synoptic weather factors identified through the singular value decomposition (SVD) analysis of spatial correlations.…”

“…For example, K. Li et al (2020) suggests that the about 10% increase of surface O 3 over North China Plain (NCP) in 2019 is mainly driven by the reduction of PM 2.5 ; Tan et al (2020) suggests that the reduced PM 2.5 is unlikely the reason for the increasing number of O 3 pollution events over NCP. Accounting for the influence of variable meteorological conditions presents additional complexity (Dang et al, 2021;Han et al, 2020;K. Li et al, 2020).…”

Decadal Changes of Connections among Snow cover in West Siberia, Eurasia Teleconnection and O<sub>3</sub>-related meteorology in North China

“…Although the feasibility of these datasets was strictly examined, there were still gaps between the real variations in O 3 and the variations in these two substitutions; this discrepancy requires further research. Furthermore, there is no doubt that anthropogenic emissions are the fundamental drivers of O 3 pollution, which has been investigated in many previous studies (Li et al, 2018;Li et al, 2019;Dang et al, 2020). After removal of the linear trend, the signals of climate warming in the atmosphere were also eliminated, which allowed us to focus on the interannual variations.…”

“…The simulated MDA8 O 3 showed similar interannual variations with the observations during 2014-2018 after removal of the linear trend (Figure S3), indicating good performances of our GEOS-Chem simulations. The MDA8 O 3 from GEOS-Chem mainly reflects the impacts of meteorological variability on surface O 3 via modulating the dispersions, photochemical productions and meteorology-emission interactions (Dang et al, 2020). The correlation coefficient between the observed JJA-mean OWI and simulated MDA8 O 3 was 0.6 from 1980 to 2018 (above the 99% confidence level) and the 21-yr running correlation coefficients maintained around 0.7 (Figure S4).…”

Measurement report: Fast photochemical production of peroxyacetyl nitrate (PAN) over the rural North China Plain during cold-season haze events

“…Since 2013, the China Government has performed strict emission reduction measures and resulted in rapid decreases of PM2.5 concentration (Zhai et al, 2019). However, increases of O3 concentrations in the NCP region have been frequently reported owing to large amounts of anthropogenic precursor emissions and meteorological variability so far (Ma et al, 2016;Li et al, 2020;Lu et al, 2020;Dang et al, 2021). Li et al (2020) reported that the maximum 8h average (MDA8) O3 concentrations in summer NCP during 2013−2019 were increased by a rate of 3.3 ppb a -1 .…”