Machine Learning to evaluate the information content of satellite data for fine particle estimates in India

Motivation: Given the sparse ground-level measurements of fine particle (PM2.5) mass and composition over India, we explore the potential to glean insights into air pollution sources by combining satellite retrievals of tropospheric trace gases and aerosols.

Primary objective: Determine whether tropospheric trace gas columns retrieved from satellite instruments can increase the accuracy of ground-level fine particle estimates inferred from satellite aerosol optical depth.

Led by postdoc Dr. Zhonghua Zheng. 

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