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The article presents a case study on the effectiveness of an aerosol retrieval algorithm over East Asia using polarized and multi-angular remote sensing. It offers information on the algorithm which retrieves aerosol optical depth (AOD) and fine-mode fraction (FMF) to study the effect of aerosol on climate change. It discusses how the study was conducted which revealed that the algorithm is promising, however further validations are needed.

The article investigates the application of multi-angular total and polarized remote sensing for aerosol optical depth and fine-mode fraction retrieval in East Asia. It states that the algorithm retrieves aerosol optical depth (AOD), fine-mode fraction (FMF) for studying the climatic impact of aerosol. It indicates that the best features of aerosol model over East Asia are constrained using the cluster analysis technique based on the AERONET sun-photometer observation over East Asia.