Daily RF AOD dataset in the Sichuan Basin, China (2015-2020)

The random forest (RF) machine learning method and multiple datasets are used to establish aerosol optical depth (AOD) dataset in the cloudy Sichuan Basin. Multiple datasets include ground-based PM10 and PM2.5, the AOD from the Sun-sky radiometer Observation Network (SONET) and the Second Modern-Era Retrospective analysis for Research and Applications (MERRA-2) aerosol reanalysis, and several meteorological variables.

{"references": ["https://doi.org/10.1016/j.apr.2022.101394"]}

Related Organizations

Ocean University of China
China (People's Republic of)
Chengdu University of Information Technology
China (People's Republic of)

Keywords

Aerosol Optical Depth; Dataset; Random Forest; Cloudy Areas

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