66 citations · 70 across the 4 of their papers we have counts for
4 papers · 1 filter
Large discrepancy between observations and simulations: Implications for urban air quality in China
Xiaokang Chen, Min Wang, Zhe Jiang +10
Chemical transport models (CTMs) have been widely used to provide instructions for the control of ozone (O3) pollution. However, we find large discrepancies between observation- an…
Impacts of COVID-19 control measures on tropospheric NO over China, South Korea and Italy
Jiaqi Chen, Zhe Jiang, Kazuyuki Miyazaki +6
Tropospheric nitrogen dioxide (NO) concentrations are strongly affected by anthropogenic activities. Using space-based measurements of tropospheric NO, here we investigate…
Recurrent U-net: Deep learning to predict daily summertime ozone in the United States
Tai-Long He, Dylan B. A. Jones, Binxuan Huang +6
We use a hybrid deep learning model to predict June-July-August (JJA) daily maximum 8-h average (MDA8) surface ozone concentrations in the US. A set of meteorological fields from t…
Global and Brazilian carbon response to El Niño Modoki 2011-2010
K. W. Bowman, J. Liu, A. A. Bloom +8
The El Niño Modoki in 2010 lead to historic droughts in Brazil. We quantify the global and Brazilian carbon response to this event using the NASA Carbon Monitoring System Flux (CMS…