The health effects of PM2.5 are numerous. We have employed machine learning to estimate the abundance of PM2.5 (μg/m3) on a daily basis globally using in-situ observations of PM2.5 together with satellite data and meteorological analysis. A paper describing the approach and its validation is available.
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