Improving the Estimation of Daily Aerosol Optical Depth and Aerosol Radiative Effect Using an Optimized Artificial Neural Network

• Published in: Remote Sensing
• Main Authors: Wenmin Qin, Lunche Wang, Aiwen Lin, Ming Zhang, Muhammad Bilal
• Format: Text
• Language: English
• Published: Multidisciplinary Digital Publishing Institute 2018
• Subjects: Genetic_BP; aerosol optical depth; surface solar radiation; aerosol radiative forcing effect; Boa; Aerosol Robotic Network
• Online Access: https://doi.org/10.3390/rs10071022

Aerosols can absorb and scatter surface solar radiation (SSR), which is called the aerosol radiative forcing effect (ARF). Great efforts have been made for the estimation of the aerosol optical depth (AOD), SSR and ARF using meteorological measurements and satellite observations. However, the accura...