Changes in anthropogenic aerosols during the first wave of COVID-19 lockdowns in the context of long-term historical trends at 51 AERONET stations

Robert Blaga, Delia Calinoiu, Gavrila Trif-Tordai
{"title":"Changes in anthropogenic aerosols during the first wave of COVID-19 lockdowns in the context of long-term historical trends at 51 AERONET stations","authors":"Robert Blaga, Delia Calinoiu, Gavrila Trif-Tordai","doi":"arxiv-2408.11757","DOIUrl":null,"url":null,"abstract":"A quasi-consensus has steadily formed in the scientific literature on the\nfact that the prevention measures implemented by most countries to curb the\n2020 COVID-19 pandemic have led to significant reductions in pollution levels\naround the world, especially in urban environments. Fewer studies have looked\nat the how these reductions at ground level translate into variations in the\nwhole atmosphere. In this study, we examine the columnar values of aerosols at\n51 mainland European stations of the Aerosol Robotic Network (AERONET). We show\nthat when considered in the context of the long-term trend over the last\ndecade, the columnar aerosol levels for 2020, at the regional level, do not\nappear exceptional. Both the yearly means and the number of episodes with\nextreme values for this period are within the one standard deviation of the\nlong-term trends. We conclude that the spatially and temporally very localized\nreductions do not add up to statistically significant reductions in the global\nlevels of aerosols. Furthermore, considering that pandemic lockdowns can be\nthought of as a simulation of a climate change mitigation scenario, we conclude\nthat such lifestyle-based changes present a very low potential as a global\nclimate change mitigation strategy.","PeriodicalId":501166,"journal":{"name":"arXiv - PHYS - Atmospheric and Oceanic Physics","volume":"159 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Atmospheric and Oceanic Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.11757","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

A quasi-consensus has steadily formed in the scientific literature on the fact that the prevention measures implemented by most countries to curb the 2020 COVID-19 pandemic have led to significant reductions in pollution levels around the world, especially in urban environments. Fewer studies have looked at the how these reductions at ground level translate into variations in the whole atmosphere. In this study, we examine the columnar values of aerosols at 51 mainland European stations of the Aerosol Robotic Network (AERONET). We show that when considered in the context of the long-term trend over the last decade, the columnar aerosol levels for 2020, at the regional level, do not appear exceptional. Both the yearly means and the number of episodes with extreme values for this period are within the one standard deviation of the long-term trends. We conclude that the spatially and temporally very localized reductions do not add up to statistically significant reductions in the global levels of aerosols. Furthermore, considering that pandemic lockdowns can be thought of as a simulation of a climate change mitigation scenario, we conclude that such lifestyle-based changes present a very low potential as a global climate change mitigation strategy.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
从 51 个 AERONET 台站的长期历史趋势看 COVID-19 第一波锁定期间人为气溶胶的变化
大多数国家为遏制 2020 年 COVID-19 大流行而实施的预防措施已导致全球污染水平显著下降,尤其是在城市环境中。但较少有人研究这些地面污染的减少如何转化为整个大气层的变化。在本研究中,我们研究了气溶胶机器人网络(AERONET)51 个欧洲大陆站点的气溶胶柱值。我们的研究表明,从过去十年的长期趋势来看,2020 年区域一级的柱状气溶胶水平并不特殊。这一时期的年均值和出现极端值的次数都在长期趋势的一个标准差范围内。我们的结论是,在空间和时间上非常局部的减少并不能使全球气溶胶水平在统计上显著降低。此外,考虑到大流行病的封锁可以被视为气候变化减缓情景的模拟,我们得出结论,这种基于生活方式的改变作为全球气候变化减缓战略的潜力非常低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Harnessing AI data-driven global weather models for climate attribution: An analysis of the 2017 Oroville Dam extreme atmospheric river Super Resolution On Global Weather Forecasts Can Transfer Learning be Used to Identify Tropical State-Dependent Bias Relevant to Midlatitude Subseasonal Predictability? Using Generative Models to Produce Realistic Populations of the United Kingdom Windstorms Integrated nowcasting of convective precipitation with Transformer-based models using multi-source data
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1