Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/13664
Impact of the COVID-19 economic downturn on tropospheric ozone trends: an uncertainty weighted data synthesis for quantifying regional anomalies above Western North America and Europe
Title: Impact of the COVID-19 economic downturn on tropospheric ozone trends: an uncertainty weighted data synthesis for quantifying regional anomalies above Western North America and Europe
Authors: Chang, Kai-LanCooper, Owen R.Gaudel, AudreyAllaart, MarcAncellet, GerardClark, HannahGodin-Beekmann, SophieLeblanc, ThierryMalderen, Roeland vanNédélec, PhilippePetropavlovskikh, IrinaSteinbrecht, WolfgangStübi, ReneTarasick, David W.Torres, CarlosAutor AEMET
Keywords: Economic downturn; Tropospheric ozone trends; COVID-19; Anomalies
Issue Date: 2022
Publisher: Wiley; American Geophysical Union
Citation: AGU Advances. 2022, 3(2), p. 1-27
Publisher version: https://doi.org/10.1029/2021AV000542
Abstract: This study quantifies the association between the COVID-19 economic downturn and 2020 tropospheric ozone anomalies above Europe and western North America, and their impact on long-term trends. Anomaly detection for an atmospheric time series is usually carried out by identifying potentially aberrant data points relative to climatological values. However, detecting ozone anomalies from sparsely sampled ozonesonde profiles (once per week at most sites) is challenging due to ozone's high temporal variability. We first demonstrate the challenges for summarizing regional trends based on independent time series from multiple nearby ozone profiling stations. We then propose a novel regional-scale anomaly detection framework based on generalized additive mixed models, which accounts for the sampling frequency and inherent data uncertainty associated with each vertical profile data set, measured by ozonesondes, lidar or commercial aircraft. This method produces a long-term monthly time series with high vertical resolution that reports ozone anomalies from the surface to the middle-stratosphere under a unified framework, which can be used to quantify the regional-scale ozone anomalies during the COVID-19 economic downturn.
Sponsorship : This work was supported in part by the NOAA Cooperative Agreement with CIRES, NA17OAR4320101.
URI: http://hdl.handle.net/20.500.11765/13664
ISSN: 2576-604X
Appears in Collections:Artículos científicos 2019-2022


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