Global coarse and fine mode aerosol optical depth (cAOD, fAOD) from 2001 to 2020

Coarse and fine mode aerosol optical depth (cAOD, fAOD) is critical for understanding the impact of different particle sizes on climate. Currently, the limited data length and high uncertainty of satellite products impair the applicability of cAOD and fAOD for climate research. Here, we propose a spatio-temporal co-action deep learning model (SCAM) for the retrieval of global land cAOD and fAOD (500 nm) from 2001 to 2020, at daily temporal resolution and 1° spatial resolution.

The cAOD and fAOD products are uploaded as Geotiff format, stretched from -89.5° to 89.5° latitude and from -179.5° to 179.5° longitude. In some certain days the products might be inavailable, due to the missing MODIS satellite data used for calculating cAOD and fAOD.