Long-Term Variation Assessment of Aerosol Load and Dominant Types over Asia for Air Quality Studies Using Multi-Sources Aerosol Datasets

• Published in: Remote Sensing
• Main Authors: Chunlin Huang, Junzhang Li, Weiwei Sun, Qixiang Chen, Qian-Jun Mao, Yuan Yuan
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2021
• Subjects: MERRA-2; MODIS; heavy load frequency; change and trend; dominant aerosol types; Science; Q; Merra; Aerosol Robotic Network
• Online Access: https://doi.org/10.3390/rs13163116; https://doaj.org/article/673f7f6799014a289a6059d3b3ecf803

Long-term (2000–2019) assessment of aerosol loads and dominant aerosol types at spatiotemporal scales using multi-source datasets can provide a strong impetus to the investigation of aerosol loads and to the targeted prevention control of atmospheric pollution in densely populated regions with frequ...