6 citations · 6 across the 3 of their papers we have counts for
3 papers
physics.ao-ph2025
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction
Shigan Liu, Guannan Geng, Yanfei Xiang +4
Air pollution remains a leading global health threat, with fine particulate matter (PM2.5) contributing to millions of premature deaths annually. Chemical transport models (CTMs) a…
physics.ao-ph2022
Spatiotemporal continuous estimates of daily 1-km PM2.5 from 2000 to present under the Tracking Air Pollution in China (TAP) framework
Qingyang Xiao, Guannan Geng, Shigan Liu +3
High spatial resolution PM2.5 data covering a long time period are urgently needed to support population exposure assessment and refined air quality management. In this study, we p…
physics.ao-ph2021★ 6 cited
Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multiple Data Sources
Guannan Geng, Qingyang Xiao, Shigan Liu +9
Air pollution has altered the Earth radiation balance, disturbed the ecosystem and increased human morbidity and mortality. Accordingly, a full-coverage high-resolution air polluta…