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: 3,457 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,664
700
93
3,457
70
107
HTML: 2,664
PDF: 700
XML: 93
Total: 3,457
BibTeX: 70
EndNote: 107
Views and downloads (calculated since 01 Jun 2022)
Cumulative views and downloads
(calculated since 01 Jun 2022)
Total article views: 2,695 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,205
417
73
2,695
62
100
HTML: 2,205
PDF: 417
XML: 73
Total: 2,695
BibTeX: 62
EndNote: 100
Views and downloads (calculated since 12 Oct 2022)
Cumulative views and downloads
(calculated since 12 Oct 2022)
Total article views: 762 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
459
283
20
762
8
7
HTML: 459
PDF: 283
XML: 20
Total: 762
BibTeX: 8
EndNote: 7
Views and downloads (calculated since 01 Jun 2022)
Cumulative views and downloads
(calculated since 01 Jun 2022)
Viewed (geographical distribution)
Total article views: 3,457 (including HTML, PDF, and XML)
Thereof 3,442 with geography defined
and 15 with unknown origin.
Total article views: 2,695 (including HTML, PDF, and XML)
Thereof 2,694 with geography defined
and 1 with unknown origin.
Total article views: 762 (including HTML, PDF, and XML)
Thereof 748 with geography defined
and 14 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...
