2 papers
physics.ao-ph2022
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…
physics.ao-ph2019
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…