Links of climate variability in Arctic sea ice, Eurasian teleconnection pattern and summer surface ozone pollution in North China

<p>Summer surface <span class="inline-formula">O<sub>3</sub></span> pollution has rapidly intensified in China in the recent decade, damaging human and ecosystem health. In 2017, the summer mean maximum daily average 8&thinsp;h concentration of ozone was g...

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Main Authors: Z. Yin, H. Wang, Y. Li, X. Ma, X. Zhang
Format: Article
Language:English
Published: Copernicus Publications 2019-03-01
Series:Atmospheric Chemistry and Physics
Online Access:https://www.atmos-chem-phys.net/19/3857/2019/acp-19-3857-2019.pdf
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author Z. Yin
Z. Yin
H. Wang
H. Wang
Y. Li
X. Ma
X. Zhang
spellingShingle Z. Yin
Z. Yin
H. Wang
H. Wang
Y. Li
X. Ma
X. Zhang
Links of climate variability in Arctic sea ice, Eurasian teleconnection pattern and summer surface ozone pollution in North China
Atmospheric Chemistry and Physics
author_facet Z. Yin
Z. Yin
H. Wang
H. Wang
Y. Li
X. Ma
X. Zhang
author_sort Z. Yin
title Links of climate variability in Arctic sea ice, Eurasian teleconnection pattern and summer surface ozone pollution in North China
title_short Links of climate variability in Arctic sea ice, Eurasian teleconnection pattern and summer surface ozone pollution in North China
title_full Links of climate variability in Arctic sea ice, Eurasian teleconnection pattern and summer surface ozone pollution in North China
title_fullStr Links of climate variability in Arctic sea ice, Eurasian teleconnection pattern and summer surface ozone pollution in North China
title_full_unstemmed Links of climate variability in Arctic sea ice, Eurasian teleconnection pattern and summer surface ozone pollution in North China
title_sort links of climate variability in arctic sea ice, eurasian teleconnection pattern and summer surface ozone pollution in north china
publisher Copernicus Publications
series Atmospheric Chemistry and Physics
issn 1680-7316
1680-7324
publishDate 2019-03-01
description <p>Summer surface <span class="inline-formula">O<sub>3</sub></span> pollution has rapidly intensified in China in the recent decade, damaging human and ecosystem health. In 2017, the summer mean maximum daily average 8&thinsp;h concentration of ozone was greater than 150&thinsp;<span class="inline-formula">µ</span>g&thinsp;m<span class="inline-formula"><sup>−3</sup></span> in North China. Based on the close relationships between the <span class="inline-formula">O<sub>3</sub></span> concentration and the meteorological conditions, a daily surface <span class="inline-formula">O<sub>3</sub></span> weather index was constructed, which extends the study period to the historical period before 2007 and the projected future. Here, we show that in addition to anthropogenic emissions, the Eurasian teleconnection pattern (EU), a major globally atmospheric teleconnection pattern, influences surface <span class="inline-formula">O<sub>3</sub></span> pollution in North China on a timescale of climate. The local meteorological conditions associated with the EU positive phase supported intense and efficient photochemical reactions to produce more surface <span class="inline-formula">O<sub>3</sub></span>. The associated southerlies over North China transported surrounding <span class="inline-formula">O<sub>3</sub></span> precursors to superpose local emissions. Increased solar radiation and high temperatures during the positive EU phase dramatically enhanced <span class="inline-formula">O<sub>3</sub></span> production. Furthermore, due to the close connection between the preceding May Arctic sea ice (SI) and summer EU pattern, approximately 60&thinsp;% of the interannual variability in <span class="inline-formula">O<sub>3</sub></span>-related weather conditions was attributed to Arctic sea ice to the north of Eurasia. This finding will aid in understanding the interannual variation in <span class="inline-formula">O<sub>3</sub></span> pollution, specifically the related meteorological conditions.</p>
url https://www.atmos-chem-phys.net/19/3857/2019/acp-19-3857-2019.pdf
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spelling doaj-cb914f2e6aa34aae92f0d0b9dc2fb72c2020-11-25T02:41:37ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242019-03-01193857387110.5194/acp-19-3857-2019Links of climate variability in Arctic sea ice, Eurasian teleconnection pattern and summer surface ozone pollution in North ChinaZ. Yin0Z. Yin1H. Wang2H. Wang3Y. Li4X. Ma5X. Zhang6Key Laboratory of Meteorological Disaster, Ministry of Education – 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, ChinaNansen–Zhu International Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, ChinaKey Laboratory of Meteorological Disaster, Ministry of Education – 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, ChinaNansen–Zhu International Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, ChinaKey Laboratory of Meteorological Disaster, Ministry of Education – 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, ChinaInstitute of Urban Meteorology, CMA Environmental Meteorology Forecast Center of Beijing-Tianjin-Hebei, ChinaKey Laboratory of Meteorological Disaster, Ministry of Education – 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<p>Summer surface <span class="inline-formula">O<sub>3</sub></span> pollution has rapidly intensified in China in the recent decade, damaging human and ecosystem health. In 2017, the summer mean maximum daily average 8&thinsp;h concentration of ozone was greater than 150&thinsp;<span class="inline-formula">µ</span>g&thinsp;m<span class="inline-formula"><sup>−3</sup></span> in North China. Based on the close relationships between the <span class="inline-formula">O<sub>3</sub></span> concentration and the meteorological conditions, a daily surface <span class="inline-formula">O<sub>3</sub></span> weather index was constructed, which extends the study period to the historical period before 2007 and the projected future. Here, we show that in addition to anthropogenic emissions, the Eurasian teleconnection pattern (EU), a major globally atmospheric teleconnection pattern, influences surface <span class="inline-formula">O<sub>3</sub></span> pollution in North China on a timescale of climate. The local meteorological conditions associated with the EU positive phase supported intense and efficient photochemical reactions to produce more surface <span class="inline-formula">O<sub>3</sub></span>. The associated southerlies over North China transported surrounding <span class="inline-formula">O<sub>3</sub></span> precursors to superpose local emissions. Increased solar radiation and high temperatures during the positive EU phase dramatically enhanced <span class="inline-formula">O<sub>3</sub></span> production. Furthermore, due to the close connection between the preceding May Arctic sea ice (SI) and summer EU pattern, approximately 60&thinsp;% of the interannual variability in <span class="inline-formula">O<sub>3</sub></span>-related weather conditions was attributed to Arctic sea ice to the north of Eurasia. This finding will aid in understanding the interannual variation in <span class="inline-formula">O<sub>3</sub></span> pollution, specifically the related meteorological conditions.</p>https://www.atmos-chem-phys.net/19/3857/2019/acp-19-3857-2019.pdf