CAM-chem simulation of the 2020 lockdown

With the reduction in economic activities following the COVID19 pandemic outbreak in early 2020, most emissions of air pollutants (i.e., nitrogen oxides (NOx), carbon monoxide (CO), sulfur dioxide (SO2), volatile organic carbon (VOC), black carbon (BC), organic carbon (OC)) have decreased substantially during several months in different regions of the world. This unintended global experiment has given insight on some of the processes that control air quality and offered a glimpse into a potential future in which air quality would be improved. Here, a global atmospheric model is used to assess the changes in the chemical composition of the atmosphere during the pandemic period and in the related chemical processes that lead to the formation of ozone (O3) and secondary organic aerosols (SOA).

The chemical fields made available here are provided by the Community Earth System Model (CESM) version 2.2 that accounts for interactive physical, chemical and dynamical processes. The simulations are performed with a detailed chemical scheme (MOZART TS1 mechanism) driven by emission changes of primary pollutants and forced by realistic weather conditions reproduce reasonably well the changes observed in the chemical composition of the atmosphere, and specifically in the perturbations of surface ozone and other oxidants during the COVID19 pandemic. Two simulations are made available, a reference using daily emissions for 2020 and another one that includes the lockdown induced emission changes.

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Temporal Range

  • Begin:  2020-01-01
    End:  2020-08-01

Keywords

Resource Type dataset
Temporal Range Begin 2020-01-01
Temporal Range End 2020-08-01
Temporal Resolution N/A
Bounding Box North Lat N/A
Bounding Box South Lat N/A
Bounding Box West Long N/A
Bounding Box East Long N/A
Spatial Representation N/A
Spatial Resolution N/A
Related Links N/A
Additional Information N/A
Resource Format NetCDF
Standardized Resource Format NetCDF
Asset Size 79202.21 MB
Legal Constraints

Creative Commons Attribution 4.0 International License


Access Constraints None
Software Implementation Language N/A

Resource Support Name N/A
Resource Support Email datahelp@ucar.edu
Resource Support Organization N/A
Distributor NSF NCAR Geoscience Data Exchange
Metadata Contact Name N/A
Metadata Contact Email datahelp@ucar.edu
Metadata Contact Organization NSF NCAR Geoscience Data Exchange

Author Gaubert, Benjamin
Tilmes, Simone
Bouarar, Idir
Doumbia, Thierno
Liu, Yiming
Stavrakou, Trissevgeni
Deroubaix, Adrien
Darras, Sabine
Elguindi, Nellie
Granier Forrest Lacey, Claire
Muller, Jean-Francois
Shi, Xiaoqin
Wang, Tao
Brasseur, Guy
Publisher NSF National Center for Atmospheric Research
Publication Date 2021-03-12
Digital Object Identifier (DOI) https://doi.org/10.5065/cgg0-rr19
Alternate Identifier d583143
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2025-10-09T01:45:43Z
Metadata Record Identifier edu.ucar.gdex::d583143
Metadata Language eng; USA
Suggested Citation Gaubert, Benjamin, Tilmes, Simone, Bouarar, Idir, Doumbia, Thierno, Liu, Yiming, Stavrakou, Trissevgeni, Deroubaix, Adrien, Darras, Sabine, Elguindi, Nellie, Granier Forrest Lacey, Claire, Muller, Jean-Francois, Shi, Xiaoqin, Wang, Tao, Brasseur, Guy. (2021). CAM-chem simulation of the 2020 lockdown. NSF National Center for Atmospheric Research. https://doi.org/10.5065/cgg0-rr19. Accessed 10 October 2025.

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