Aerosol optical depth (AOD) is an important parameter for describing the aerosol impact on solar radiation. Due to the passing time of satellite and cloud effect, current AOD product has the issue of low time resolution (~1 day) and spatial incompleteness. In this project, we plan to combine machine learning method, ground observation data and numerical model simulation results to generate a high temporal resolution AOD product over the Pearl River Delta (PRD) region.
The applicants are expected to finish subjects in basic calculus and statistics, he/she should have a good programming skills. He/she will help the supervisor to conduct the numerical simulation part of the project.
Conclude the fundamental principles of AI and air quality.