Xiao Lu

TL;DR: Wang et al. as mentioned in this paper used the latest 5-year (2013-2017) surface ozone measurements from the Chinese monitoring network, combined with the recent Tropospheric Ozone Assessment Report (TOAR) database for other industrialized regions such as Japan, South Korea, Europe, and the United States (JKEU).

TL;DR: In this paper, the authors used a multiple linear regression model to fit ozone to meteorological variables and found that meteorology played a significant but not dominant role in the 2013-2019 ozone trend.

TL;DR: Wang et al. as discussed by the authors reported quantitative estimates of the warm-season (April-September) surface ozone trends and resulting health impacts at Chinese cities in 2013-2019, and derived both the parametric and nonparametric linear trends for 12 ozone metrics relevant to human health and vegetation exposure.

TL;DR: In this paper, the authors explore the source contributions to surface daily maximum 8'h average (MDA8) ozone over China in 2016 and 2017, the 2 years with the highest surface ozone averaged over Chinese cities in the record.

TL;DR: In this article, the authors explicitly implement four heterogeneous sulfate formation metrics into a regional chemical transport model, in addition to gas phase and in-cloud sulfate production, and compare the model results with measurements of sulfate concentrations and oxygen isotopes, Δ17O ( SO 4 2 - ), in the winter of 2014-2015.