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Anomalies of O$_3$, CO, C$_2$H$_2$, H$_2$CO, and C$_2$H$_6$ detected with multiple ground-based Fourier-transform infrared spectrometers and assessed with model simulation in 2020: COVID-19 lockdowns versus natural variability

Ortega, Ivan; Gaubert, Benjamin; Hannigan, James W.; Brasseur, Guy; Worden, Helen M.; Blumenstock, Thomas ORCID iD icon 1; Fu, Hao; Hase, Frank 1; Jeseck, Pascal; Jones, Nicholas; Liu, Cheng; Mahieu, Emmanuel; Morino, Isamu; Murata, Isao; Notholt, Justus; Palm, Mathias; Röhling, Amelie 1; Té, Yao; Strong, Kimberly; ... mehr

Abstract:

Anomalies of tropospheric columns of ozone (O$_3$), carbon monoxide (CO), acetylene (C$_2$H$_2$), formaldehyde (H$_2$CO), and ethane (C$_2$H$_6$) are quantified during the 2020 stringent COVID-19 world-wide lockdown using multiple ground-based Fourier-transform infrared spectrometers covering urban and remote conditions. We applied an exponential smoothing forecasting approach to the data sets to estimate business-as-usual values for 2020, which are then contrasted with actual observations. The Community Atmosphere Model with chemistry (CAM-chem) is used to simulate the same gases using lockdown-adjusted and business-as-usual emissions. The role of meteorology, or natural variability, is assessed with additional CAM-chem simulations. The tropospheric column of O$_3$ declined between March and May 2020 for most sites with a mean decrease of 9.2% ± 4.7%. Simulations reproduce these anomalies, especially under background conditions where natural variability explains up to 80% of the decline for sites in the Northern Hemisphere. While urban sites show a reduction between 1% and 12% in tropospheric CO, the remote sites do not show a significant change. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000160132
Veröffentlicht am 04.07.2023
Originalveröffentlichung
DOI: 10.1525/elementa.2023.00015
Scopus
Zitationen: 2
Dimensions
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 22.05.2023
Sprache Englisch
Identifikator ISSN: 2325-1026
KITopen-ID: 1000160132
HGF-Programm 12.11.13 (POF IV, LK 01) Long-term trends of global atmospheric composition
Erschienen in Elem Sci Anth
Verlag BioOne
Band 11
Heft 1
Seiten Art.-Nr.: 00015
Schlagwörter COVID-19, FTIR, CAM-chem, Natural variability
Nachgewiesen in Web of Science
Dimensions
Scopus
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