Xiao Tang

TL;DR: In this paper, the authors used the Nested Air Quality Prediction Model System (NAQPMS) to investigate the temporal and spatial variations of PM 2.5 over tropospheric central eastern China in January 2013.

TL;DR: Integrating PM2.5 concentrations based on the national monitoring network with the regional air quality model provides an advanced exposure estimate method with potentials to further improve the accuracy for mortality estimate; much higher health benefits could be achieved if China adopted more stringent WHO guidelines for PM1.5.

TL;DR: The results demonstrate the important role of regional transport, largely from the southwest but also from the east, and of coal combustion emissions for winter haze formation in Beijing and an important downward mixing pathway during the severe haze in 2015 that can lead to rapid increases in certain aerosol species.

TL;DR: Investigating an extreme regional haze episode persisting over the Beijing-Tianjin-Hebei megacity cluster from November 26 to December 1, 2015 found that local emissions were the main source of haze over Beijing and Hebei in the early formational stage of this episode.

TL;DR: Tang et al. as discussed by the authors developed a six-year long high-resolution Chinese air quality reanalysis datasets (CAQRA) by assimilating over 1000 surface air quality monitoring sites from China National Environmental Monitoring Centre (CNEMC) using the ensemble Kalman filter (EnKF) and the Nested Air Quality Prediction Modeling System (NAQPMS).