Study shows using machine learning algorithms can reliably predict air quality during major wildfire

Reid_ColleenHarvard Robert Wood Johnson Health & Society Scholar Colleen Reid, PhD, is lead author on a study published Environmental Science & Technology that applied machine learning algorithms that combine data from satellites and chemical transport models (CMTs) – a type of computer numerical model – to predict fine particulate matter during the 2008 northern California wildfires.