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DOI10.1016/j.atmosenv.2021.118351
NO2 anomalies - Economy attribution and rapid climate response
Savtchenko A.K.; Khayat M.G.
发表日期2021
ISSN1352-2310
卷号254
英文摘要Close to two decades of NASA Earth Observing System satellite data and algorithms refinements present unique opportunity to revisit the attributions of variability of tropospheric pollutants to economic activity, as well as pollutants contribution to the anthropogenic radiative forcing. The nitrogen dioxide (NO2) is one of the top pollutants produced by industrial and power plants and traffic. That long data record now covers events of economic variability like the recession of 2008/2009, as well as the effects of COVID-19 closures of 2019/2020. In particular, the COVID-19 lockdowns in the winter of 2019/2020 and the spring of 2020 resulted in contracting economies around the world. While numerous imageries of reduced nitrogen dioxide (NO2) appeared to be popular, few studied gave numerical assessment of how much of the anomalies is attributable to the economic slowdown. Furthermore, few studies touched on the possible climate offsets under the reduced emissions. Using principal component (PC) analysis of 16 years of NO2 monthly series data from the Ozone Monitoring Instrument on the Aura satellite, we show that it is the third PC (PC3) from the deseasonalized hierarchy of principal modes that is best coupled with the economic indicators. This coupling is positive, i.e. PC3 and economic indicators manifest positive covariance. However, the economic variability can explain only 40% of the information in PC3. Furthermore, this mode by itself explains only 3% of the total deseasonalized NO2 variability. We therefore conclude that, while having an unambiguous impact, the economy can be awarded at best third order of importance in the NO2 departures from the seasonal averages. Once we identified PC3 as the NO2 mode that is coupled with the economic variability, we use this mode as an indicator and look for rapid climate adjustments to that part of the NO2 variability that we are confident is coupled with the economic variability. We focus on observational data from the Atmospheric Infrared Sounder (AIRS) on board the NASA Aqua satellite, decompose the series of surface skin temperature and clear-sky outgoing longwave radiances (OLR) into principal components, and identify potential impacts of the NO2 PC3 on these climate variables. © 2021 Elsevier Ltd
语种英语
scopus关键词Atmospheric radiation; Economics; Industrial plants; Infrared devices; NASA; Nitrogen oxides; Pollution; Principal component analysis; Algorithm refinement; Climate response; Data refinements; Earth observing system satellites; Economic activities; Economic indicators; Nitrogen dioxides; NO $-2$; Principal Components; Satellite data; Satellites; nitrogen dioxide; ozone; AIRS; algorithm; anomaly; anthropogenic effect; Aqua (satellite); climate change; COVID-19; economic analysis; environmental impact assessment; EOS; nitrogen dioxide; radiative forcing; satellite data; Article; China; climate change; climate warming; coronavirus disease 2019; economic aspect; gross national product; lockdown; Northern Hemisphere; pandemic; priority journal; radiative forcing; singular value decomposition; skin surface; skin temperature; spring; United States; winter; Indicator indicator
来源期刊ATMOSPHERIC ENVIRONMENT
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/248454
作者单位ADNET Systems Inc. Greenbelt Rd, NASA/GSFC, Code 610.2, Greenbelt, MD 20771, United States
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Savtchenko A.K.,Khayat M.G.. NO2 anomalies - Economy attribution and rapid climate response[J],2021,254.
APA Savtchenko A.K.,&Khayat M.G..(2021).NO2 anomalies - Economy attribution and rapid climate response.ATMOSPHERIC ENVIRONMENT,254.
MLA Savtchenko A.K.,et al."NO2 anomalies - Economy attribution and rapid climate response".ATMOSPHERIC ENVIRONMENT 254(2021).
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