Articles | Volume 21, issue 5
Research article
15 Mar 2021
Research article |  | 15 Mar 2021

Long-term multi-source data analysis about the characteristics of aerosol optical properties and types over Australia

Xingchuan Yang, Chuanfeng Zhao, Yikun Yang, and Hao Fan

Data sets

1 second SRTM Digital Elevation Model (DEM). Geoscience Australia

Dynamic Land Cover Dataset Version 2.1 L. Lymburner, P. Tan, A. McIntyre, M. Thankappan, and J. Sixsmith

Aerosol optical depth (V3), solar and aerosol inversions (V3) NASA

MODIS Atmosphere L2 Aerosol Product R. Levy and C. Hsu

MERRA-2 tavgM_2d_aer_Nx: 2d, Monthly mean, Time-averaged, Single-Level, Assimilation, Aerosol Diagnostics V5.12.4 Global Modeling and Assimilation Office (GMAO)

ERA5 monthly averaged data on single levels from 1979 to present H. Hersbach, B. Bell, P. Berrisford, G. Biavati, A. Horányi, J. Muñoz Sabater, J. Nicolas, C. Peubey, R. Radu, I. Rozum, D. Schepers, A. Simmons, C. Soci, D. Dee, and J.-N. Thépaut

CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, Cloud Free Data, Standard V4-20 NASA/LARC/SD/ASDC

Short summary
We investigate the spatiotemporal distributions of aerosol optical properties and major aerosol types, along with the vertical distribution of the major aerosol types over Australia based on multi-source data. The results of this study provide significant information on aerosol optical properties in Australia, which can help to understand their characteristics and potential climate impacts.
Final-revised paper