Model outputs of surface PM2.5 concentration

Huanxin-Jessie Zhang & Jun Wang
Exposure to ambient PM2.5 (fine particulate matter with aerodynamic diameter less than 2.5 µm) can lead to adverse health effects. Air quality forecasting of PM2.5 is critical for informing the general public and decision makers to take preventive cautions. Air quality forecasting models of PM2.5 are subject to large uncertainties due to factors such as the incomplete representation of the physical and chemical processes. Here we develop a computationally efficient bias-correction framework to improve surface...
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