State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
Center for Excellence in Regional Atmospheric Environment, IUE,
Chinese Academy of Sciences, Xiamen 361021, China
Ke Gui
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
Jie Liao
National Meteorological Information Center, Beijing 100081, China
Ye Fei
National Meteorological Information Center, Beijing 100081, China
Lipeng Jiang
Earth System Numerical Prediction Center, Beijing 100081, China
Lifeng Guo
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
Yaqiang Wang
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
Deying Wang
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
Zijiang Zhou
National Meteorological Information Center, Beijing 100081, China
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5,667
1,322
143
7,132
290
143
188
HTML: 5,667
PDF: 1,322
XML: 143
Total: 7,132
Supplement: 290
BibTeX: 143
EndNote: 188
Views and downloads (calculated since 14 Apr 2022)
Cumulative views and downloads
(calculated since 14 Apr 2022)
Total article views: 5,888 (including HTML, PDF, and XML)
HTML
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XML
Total
Supplement
BibTeX
EndNote
4,831
938
119
5,888
290
129
171
HTML: 4,831
PDF: 938
XML: 119
Total: 5,888
Supplement: 290
BibTeX: 129
EndNote: 171
Views and downloads (calculated since 12 Jul 2022)
Cumulative views and downloads
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Total article views: 1,244 (including HTML, PDF, and XML)
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Total
BibTeX
EndNote
836
384
24
1,244
14
17
HTML: 836
PDF: 384
XML: 24
Total: 1,244
BibTeX: 14
EndNote: 17
Views and downloads (calculated since 14 Apr 2022)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 7,132 (including HTML, PDF, and XML)
Thereof 6,825 with geography defined
and 307 with unknown origin.
Total article views: 5,888 (including HTML, PDF, and XML)
Thereof 5,670 with geography defined
and 218 with unknown origin.
Total article views: 1,244 (including HTML, PDF, and XML)
Thereof 1,155 with geography defined
and 89 with unknown origin.
Historical long-term PM2.5 records with high temporal resolution are essential but lacking for research and environmental management. Here, we reconstruct site-based and gridded PM2.5 datasets at 6-hour intervals from 1960 to 2020 that combine visibility, meteorological data, and emissions based on a machine learning model with extracted spatial features. These two PM2.5 datasets will lay the foundation of research studies associated with air pollution, climate change, and aerosol reanalysis.
Historical long-term PM2.5 records with high temporal resolution are essential but lacking for...