Distinctive dust weather intensities in North China resulted from two types of atmospheric circulation anomalies
Qianyi Huo,Zhicong Yin,Xiaoqing Ma,and Huijun Wang
Qianyi Huo
State Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
State Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
Nansen-Zhu International Research Centre, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Xiaoqing Ma
State Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
Huijun Wang
State Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
Nansen-Zhu International Research Centre, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Viewed
Total article views: 3,995 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
3,268
639
88
3,995
186
66
124
HTML: 3,268
PDF: 639
XML: 88
Total: 3,995
Supplement: 186
BibTeX: 66
EndNote: 124
Views and downloads (calculated since 16 Jul 2024)
Cumulative views and downloads
(calculated since 16 Jul 2024)
Total article views: 3,469 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,864
536
69
3,469
156
55
114
HTML: 2,864
PDF: 536
XML: 69
Total: 3,469
Supplement: 156
BibTeX: 55
EndNote: 114
Views and downloads (calculated since 06 Feb 2025)
Cumulative views and downloads
(calculated since 06 Feb 2025)
Total article views: 526 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
404
103
19
526
30
11
10
HTML: 404
PDF: 103
XML: 19
Total: 526
Supplement: 30
BibTeX: 11
EndNote: 10
Views and downloads (calculated since 16 Jul 2024)
Cumulative views and downloads
(calculated since 16 Jul 2024)
Viewed (geographical distribution)
Total article views: 3,995 (including HTML, PDF, and XML)
Thereof 3,879 with geography defined
and 116 with unknown origin.
Total article views: 3,469 (including HTML, PDF, and XML)
Thereof 3,360 with geography defined
and 109 with unknown origin.
Total article views: 526 (including HTML, PDF, and XML)
Thereof 519 with geography defined
and 7 with unknown origin.
Dust days during the spring seasons of 2015–2023 in North China were classified into Mongolian cyclone and cold high types depending on the presence of the Mongolian cyclone. The Mongolian cyclone type led to more frequent and severe dust weather, indicated by PM10 concentrations. To comprehensively forecast the two types of dust weather, a common predictor was established based on 500 hPa anomalous circulation systems, offering insights for dust weather forecasting and climate prediction.
Dust days during the spring seasons of 2015–2023 in North China were classified into Mongolian...