Evaluation and comparison of MERRA-2 AOD and DAOD with MODIS DeepBlue and AERONET data in Australia

• Published in: Atmospheric Environment
• Main Authors: Che, Yahui, Yu, Bofu, Parsons, Katherine, Desha, Cheryl, Ramezani, Mohammad
• Format: Article in Journal/Newspaper
• Language: English
• Published: Elsevier 2022
• Subjects: Atmospheric sciences; Climate change science; Environmental engineering; Science & Technology; Life Sciences & Biomedicine; Physical Sciences; Environmental Sciences; Meteorology & Atmospheric Sciences; Merra; Aerosol Robotic Network
• Online Access: http://hdl.handle.net/10072/419139; https://doi.org/10.1016/j.atmosenv.2022.119054

Validated dust and aerosol datasets provide valuable information for dust and other atmospheric research. A reanalysis product called ‘MERRA-2’ developed by NASA's Global Modeling and Assimilation Office (GMAO) in recent years provides long-term, high frequency, global coverage aerosol simulati...