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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6,629
1,929
164
8,722
355
177
229
HTML: 6,629
PDF: 1,929
XML: 164
Total: 8,722
Supplement: 355
BibTeX: 177
EndNote: 229
Views and downloads (calculated since 14 Apr 2022)
Cumulative views and downloads
(calculated since 14 Apr 2022)
Total article views: 7,361 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
5,753
1,470
138
7,361
355
162
209
HTML: 5,753
PDF: 1,470
XML: 138
Total: 7,361
Supplement: 355
BibTeX: 162
EndNote: 209
Views and downloads (calculated since 12 Jul 2022)
Cumulative views and downloads
(calculated since 12 Jul 2022)
Total article views: 1,361 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
876
459
26
1,361
15
20
HTML: 876
PDF: 459
XML: 26
Total: 1,361
BibTeX: 15
EndNote: 20
Views and downloads (calculated since 14 Apr 2022)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 8,722 (including HTML, PDF, and XML)
Thereof 8,433 with geography defined
and 289 with unknown origin.
Total article views: 7,361 (including HTML, PDF, and XML)
Thereof 7,151 with geography defined
and 210 with unknown origin.
Total article views: 1,361 (including HTML, PDF, and XML)
Thereof 1,282 with geography defined
and 79 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...
