Published May 1, 2022 | Version v1
Dataset Open

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

Authors/Creators

  • 1. Chengdu University of Information Technology
  • 2. Civil Aviation Administration of China
  • 3. Ocean University of China

Description

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.

 

 

 

Files

Daily RF-AOD dataset in the Sichuan Basin (2015-2020).zip

Files (2.3 MB)

Additional details

Related works

Is referenced by
Journal article: 10.1016/j.apr.2022.101394 (DOI)

References