The research, led by Yangmingkai Li, a scientist at Stony Brook University in New York, analyses data from the United States as a whole between 2006 and 2023 using machine learning models that combine satellite observations and surface measurements. “One of the challenges is that there is no ‘referral truth’ for forest fire smoke pollution to compare ozone levels. Therefore, it is necessary to use some kind of model to estimate scenarios. In thi…
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The research, led by Yangmingkai Li, a scientist at Stony Brook University in New York, analyses data from the United States as a whole between 2006 and 2023 using machine learning models that combine satellite observations and surface measurements. “One of the challenges is that there is no ‘referral truth’ for forest fire smoke pollution to compare ozone levels. Therefore, it is necessary to use some kind of model to estimate scenarios. In thi…