Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, 100871, Beijing, China
Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, 100871, Beijing, China
State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry, Chinese Academy of Meteorological Sciences, China Meteorological Administration, 100081, Beijing, China
Yueming Dong
Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, 100871, Beijing, China
Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, 100871, Beijing, China
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Cumulative views and downloads
(calculated since 22 Aug 2024)
Total article views: 3,878 (including HTML, PDF, and XML)
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3,257
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3,878
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HTML: 3,257
PDF: 580
XML: 41
Total: 3,878
Supplement: 52
BibTeX: 72
EndNote: 92
Views and downloads (calculated since 30 Apr 2025)
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Total article views: 1,133 (including HTML, PDF, and XML)
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892
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1,133
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HTML: 892
PDF: 200
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Total: 1,133
Supplement: 35
BibTeX: 22
EndNote: 32
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Total article views: 5,011 (including HTML, PDF, and XML)
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Total article views: 3,878 (including HTML, PDF, and XML)
Thereof 3,878 with geography defined
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Total article views: 1,133 (including HTML, PDF, and XML)
Thereof 1,030 with geography defined
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We used ground-based remote sensing data from the Aerosol Robotic Network to examine long-term trends in aerosol characteristics. We found aerosol loadings generally decreased globally, and aerosols became more scattering. These changes are closely related to variations in aerosol compositions, such as decreased anthropogenic emissions over East Asia, Europe, and North America; increased anthropogenic sources over northern India; and increased dust activity over the Arabian Peninsula.
We used ground-based remote sensing data from the Aerosol Robotic Network to examine long-term...