Impact of COVID-19-related Air Traffic Reductions on the Coverage and Radiative Effects of Linear Persistent Contrails over Conterminous United States and Surrounding Oceanic Routes

• Published in: Journal of Geophysical Research: Atmospheres 2023-03, Vol.128 (6), p.n/a
• Main Authors: Duda, David P, Jr, William L Smith, Bedka, Sarah, Spangenberg, Douglas A, Chee, Thad, Minnis, Patrick
• Format: Article
• Language: English
• Subjects: Air; Air temperature; Air traffic; Aircraft; Altitude; Atmospheric conditions; Atmospheric models; contrail; Contrail effects; Contrail formation; Contrails; COVID pandemic; COVID-19; Empirical analysis; Empirical models; Environmental changes; Geophysics; Humidity; I.R. radiation; Ice cover; Infrared radiation; Meteorology and Climatology; Optical properties; Pandemics; radiative effects; Radiative forcing; Reduction; Satellite imagery; Satellites; Short wave radiation; Sunlight; Temperature; Traffic; Traffic information; Visibility
• ISSN: 0148-0227; 2169-897X; 2156-2202; 2169-8996
• DOI: 10.1029/2022JD037554

The radiative effects of the large-scale air traffic slowdown during Apr and May 2020 due to the international response to the COVID-19 pandemic are estimated by comparing the coverage (CC), optical properties, and radiative forcing of persistent linear contrails over the conterminous United States and two surrounding oceanic air corridors during the slowdown period and a similar baseline period during 2018 and 2019 when air traffic was unrestricted. The detected CC during the slowdown period decreased by an area-averaged mean of 41% for the three analysis boxes. The retrieved contrail optical properties were mostly similar for both periods. Total shortwave contrail radiative forcings during the slowdown were 34 and 42% smaller for Terra and Aqua, respectively. The corresponding differences for longwave contrail radiative forcing were 33% for Terra and 40% for Aqua. To account for the impact of any changes in the atmospheric environment between baseline and slowdown periods on detected CC amounts, the contrail formation potential (CFP) was computed from reanalysis data. In addition, a filtered CFP (fCFP) was also developed to account for factors that may affect contrail formation and visibility of persistent contrails in satellite imagery. The CFP and fCFP were combined with air traffic density data to create empirical models that estimated CC during the baseline and slowdown periods and were compared to the detected CC. The models confirm that decreases in CC and radiative forcing during the slowdown period were mostly due to the reduction in air traffic, and partly due to environmental changes.