Large‐scale meteorological control on the spatial pattern of wintertime PM 2.5 pollution over China
Abstract The frequent episodes of severe air pollution over China during recent years have posed serious health threats to densely populated eastern China. Although several studies investigated the linkage between enhanced severity and frequency of air pollution and the large‐scale weather patterns...
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crwiley:10.1002/asl.938 2024-03-17T08:56:28+00:00 Large‐scale meteorological control on the spatial pattern of wintertime PM 2.5 pollution over China Wang, Ziwei Chen, Gang Gu, Yu Zhao, Bin Ma, Qiao Wang, Shuxiao Liou, Kuo‐Nan Division of Atmospheric and Geospace Sciences Natural Science Foundation of Jiangsu Province 2019 http://dx.doi.org/10.1002/asl.938 https://onlinelibrary.wiley.com/doi/pdf/10.1002/asl.938 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/asl.938 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/asl.938 en eng Wiley http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/ Atmospheric Science Letters volume 20, issue 10 ISSN 1530-261X 1530-261X Atmospheric Science journal-article 2019 crwiley https://doi.org/10.1002/asl.938 2024-02-22T01:32:38Z Abstract The frequent episodes of severe air pollution over China during recent years have posed serious health threats to densely populated eastern China. Although several studies investigated the linkage between enhanced severity and frequency of air pollution and the large‐scale weather patterns over China, the day‐to‐day covariability between them, as well as its local and remote mechanisms, has not been systematically documented. The wintertime synoptic covariability between PM 2.5 and large‐scale meteorological fields is studied using surface observations of PM 2.5 in 2013/2014–2016/2017 and ERA‐Interim meteorological fields through maximum covariance analysis (MCA). The first MCA mode (MCA1) suggests a consistent accumulation of ambient PM 2.5 as a result of weakened winds that block the pollutant removal passage in heavily polluted areas of eastern China, as well as moist air from southeast coast favoring haze formation. A northeast–southwest belt that extends into northeastern China and central China on each end is more sensitive to MCA1. The second MCA mode (MCA2) shows a north–south dipole in PM 2.5 linked to the contrast of boundary layer height and surface wind speed between northern and southern regions of China. Spatial patterns of both modes are supported by the GEOS‐Chem chemistry transport model with realistic emission inventory. The spatial patterns of the two modes are robust on the interannual time scales. Based on that, we investigate the variability of the first two modes of the identified modes on the multidecadal scale by projecting GPM_500 pattern to 1981–2010. Correlation analysis of the projected time series and climate indices over 30 years indicates the possible linkage of Arctic oscillation, ENSO indices, Pacific decadal oscillation and east Atlantic/western Russia to regional air pollution patterns over China. Article in Journal/Newspaper Arctic Wiley Online Library Arctic Pacific Atmospheric Science Letters 20 10 |
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Wiley Online Library |
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language |
English |
topic |
Atmospheric Science |
spellingShingle |
Atmospheric Science Wang, Ziwei Chen, Gang Gu, Yu Zhao, Bin Ma, Qiao Wang, Shuxiao Liou, Kuo‐Nan Large‐scale meteorological control on the spatial pattern of wintertime PM 2.5 pollution over China |
topic_facet |
Atmospheric Science |
description |
Abstract The frequent episodes of severe air pollution over China during recent years have posed serious health threats to densely populated eastern China. Although several studies investigated the linkage between enhanced severity and frequency of air pollution and the large‐scale weather patterns over China, the day‐to‐day covariability between them, as well as its local and remote mechanisms, has not been systematically documented. The wintertime synoptic covariability between PM 2.5 and large‐scale meteorological fields is studied using surface observations of PM 2.5 in 2013/2014–2016/2017 and ERA‐Interim meteorological fields through maximum covariance analysis (MCA). The first MCA mode (MCA1) suggests a consistent accumulation of ambient PM 2.5 as a result of weakened winds that block the pollutant removal passage in heavily polluted areas of eastern China, as well as moist air from southeast coast favoring haze formation. A northeast–southwest belt that extends into northeastern China and central China on each end is more sensitive to MCA1. The second MCA mode (MCA2) shows a north–south dipole in PM 2.5 linked to the contrast of boundary layer height and surface wind speed between northern and southern regions of China. Spatial patterns of both modes are supported by the GEOS‐Chem chemistry transport model with realistic emission inventory. The spatial patterns of the two modes are robust on the interannual time scales. Based on that, we investigate the variability of the first two modes of the identified modes on the multidecadal scale by projecting GPM_500 pattern to 1981–2010. Correlation analysis of the projected time series and climate indices over 30 years indicates the possible linkage of Arctic oscillation, ENSO indices, Pacific decadal oscillation and east Atlantic/western Russia to regional air pollution patterns over China. |
author2 |
Division of Atmospheric and Geospace Sciences Natural Science Foundation of Jiangsu Province |
format |
Article in Journal/Newspaper |
author |
Wang, Ziwei Chen, Gang Gu, Yu Zhao, Bin Ma, Qiao Wang, Shuxiao Liou, Kuo‐Nan |
author_facet |
Wang, Ziwei Chen, Gang Gu, Yu Zhao, Bin Ma, Qiao Wang, Shuxiao Liou, Kuo‐Nan |
author_sort |
Wang, Ziwei |
title |
Large‐scale meteorological control on the spatial pattern of wintertime PM 2.5 pollution over China |
title_short |
Large‐scale meteorological control on the spatial pattern of wintertime PM 2.5 pollution over China |
title_full |
Large‐scale meteorological control on the spatial pattern of wintertime PM 2.5 pollution over China |
title_fullStr |
Large‐scale meteorological control on the spatial pattern of wintertime PM 2.5 pollution over China |
title_full_unstemmed |
Large‐scale meteorological control on the spatial pattern of wintertime PM 2.5 pollution over China |
title_sort |
large‐scale meteorological control on the spatial pattern of wintertime pm 2.5 pollution over china |
publisher |
Wiley |
publishDate |
2019 |
url |
http://dx.doi.org/10.1002/asl.938 https://onlinelibrary.wiley.com/doi/pdf/10.1002/asl.938 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/asl.938 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/asl.938 |
geographic |
Arctic Pacific |
geographic_facet |
Arctic Pacific |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Atmospheric Science Letters volume 20, issue 10 ISSN 1530-261X 1530-261X |
op_rights |
http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1002/asl.938 |
container_title |
Atmospheric Science Letters |
container_volume |
20 |
container_issue |
10 |
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1793765257688121344 |