Projects
In addition to publishing our findings in peer-reviewed journals, we maintain open-source software called CHEEREIO used by research groups around the world to quantify emissions of greenhouse gases and air pollutants. We also publish large high resolution pollution maps for use in public health studies, regulation, and other applications. See below for our projects.
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CHEEREIO can be used to estimate emissions of various pollutants using observations from satellites, surface monitors, and more. Click here for code!
CHEEREIO can be used to estimate emissions of various pollutants using observations from satellites, surface monitors, and more. Click here for the documentation!
CHEEREIO can be used to estimate emissions of various pollutants using observations from satellites, surface monitors, and more. Click here for a 2026 video tutorial!
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We construct a continuous 24-h daily fine particulate matter (PM2.5) record with 2×2 km2 resolution over eastern China, South Korea, and Japan for 2011-2022 by applying a random forest (RF) algorithm to aerosol optical depth (AOD) observations from the Geostationary Ocean Color Imager (GOCI) I and II satellite instruments