Continuous 2011-2022 record of fine particulate matter (PM2.5) in East Asia at daily 2-km resolution from GOCI I and II satellite observations

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. The RF uses PM2.5 observations from the national surface networks as training data. PM2.5 network data starting in 2015 in South Korea are extended to pre-2015 with a RF trained on other air quality data available from the network including PM10. PM2.5 network data starting in 2014 in China are supplemented by pre-2014 data from the US embassy and consulates. Missing AODs in the GOCI data are gap-filled by a separate RF fit. More information is available in the related publication. Here we supply a NetCDF containing the inferred daily PM2.5 fields from 2011-22 for use in further research. If you use this data, please cite the associated publication, and feel free to reach out via email to discuss this work.