Key Laboratory of Meteorological Disaster, Ministry of Education
(KLME)/Joint International Research Laboratory of Climate and Environment
Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation
of Meteorological Disasters (CIC-FEMD), Nanjing University of Information
Science and Technology, Nanjing 210044, China
Key Laboratory of Meteorology and Ecological Environment of Hebei
Province, Shijiazhuang 050021, China
Chengde Meteorological Service of Hebei Province, Chengde, Hebei
067000, China
Key Laboratory of Meteorological Disaster, Ministry of Education
(KLME)/Joint International Research Laboratory of Climate and Environment
Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation
of Meteorological Disasters (CIC-FEMD), Nanjing University of Information
Science and Technology, Nanjing 210044, China
Chunhua Shi
Key Laboratory of Meteorological Disaster, Ministry of Education
(KLME)/Joint International Research Laboratory of Climate and Environment
Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation
of Meteorological Disasters (CIC-FEMD), Nanjing University of Information
Science and Technology, Nanjing 210044, China
Dong Guo
Key Laboratory of Meteorological Disaster, Ministry of Education
(KLME)/Joint International Research Laboratory of Climate and Environment
Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation
of Meteorological Disasters (CIC-FEMD), Nanjing University of Information
Science and Technology, Nanjing 210044, China
Guiqin Fu
Key Laboratory of Meteorology and Ecological Environment of Hebei
Province, Shijiazhuang 050021, China
Ji Wang
Beijing Regional Climate Center, Beijing 100089, China
Zhuoqi Liang
Key Laboratory of Meteorological Disaster, Ministry of Education
(KLME)/Joint International Research Laboratory of Climate and Environment
Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation
of Meteorological Disasters (CIC-FEMD), Nanjing University of Information
Science and Technology, Nanjing 210044, China
Viewed
Total article views: 2,083 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,659
389
35
2,083
25
20
HTML: 1,659
PDF: 389
XML: 35
Total: 2,083
BibTeX: 25
EndNote: 20
Views and downloads (calculated since 01 Jun 2022)
Cumulative views and downloads
(calculated since 01 Jun 2022)
Total article views: 1,431 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,214
196
21
1,431
23
18
HTML: 1,214
PDF: 196
XML: 21
Total: 1,431
BibTeX: 23
EndNote: 18
Views and downloads (calculated since 12 Oct 2022)
Cumulative views and downloads
(calculated since 12 Oct 2022)
Total article views: 652 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
445
193
14
652
2
2
HTML: 445
PDF: 193
XML: 14
Total: 652
BibTeX: 2
EndNote: 2
Views and downloads (calculated since 01 Jun 2022)
Cumulative views and downloads
(calculated since 01 Jun 2022)
Viewed (geographical distribution)
Total article views: 2,083 (including HTML, PDF, and XML)
Thereof 2,064 with geography defined
and 19 with unknown origin.
Total article views: 1,431 (including HTML, PDF, and XML)
Thereof 1,427 with geography defined
and 4 with unknown origin.
Total article views: 652 (including HTML, PDF, and XML)
Thereof 637 with geography defined
and 15 with unknown origin.
Existing evidence mainly focuses on the possible impact of tropospheric climate anomalies on the regional air pollutions, but few studies pay attention to the impact of stratospheric changes on haze pollutions in the Beijing–Tianjin–Hebei (BTH) region. Our study reveals the linkage between the stratospheric variability and the regional atmospheric environment. The downward-propagating stratospheric signals might have a cleaning effect on the atmospheric environment in the BTH region.
Existing evidence mainly focuses on the possible impact of tropospheric climate anomalies on the...