CAM-chem simulation of the 2020 lockdown

With the reduction in economic activities following the COVID-19 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 COVID-19 pandemic. Two simulations are made available, a reference using daily emissions for 2020 and another one that includes the lockdown induced emission changes.

To Access Resource:

Questions? Email Resource Support Contact:

  • Benjamin Gaubert
    gaubert@ucar.edu
    UCAR/NCAR - Atmospheric Chemistry Observations and Modeling Laboratory

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 90.0
Bounding Box South Lat -90.0
Bounding Box West Long -180.0
Bounding Box East Long 180.0
Spatial Representation N/A
Spatial Resolution N/A
Related Links N/A
Additional Information N/A
Resource Format application/x-netcdf
Standardized Resource Format NetCDF
Asset Size N/A
Legal Constraints

Creative Commons Attribution 4.0 International License.


Access Constraints None
Software Implementation Language N/A

Resource Support Name Benjamin Gaubert
Resource Support Email gaubert@ucar.edu
Resource Support Organization UCAR/NCAR - Atmospheric Chemistry Observations and Modeling Laboratory
Distributor N/A
Metadata Contact Name GDEX Curator
Metadata Contact Email datahelp@ucar.edu
Metadata Contact Organization UCAR/NCAR - GDEX

Author Gaubert, Benjamin
Tilmes, Simone
Bouarar, Idir
Doumbia, Thierno
Liu, Yiming
Stavrakou, Trissevgeni
Deroubaix, Adrien
Darras, Sabine
Elguindi, Nellie
Granier Forrest Lacey, Claire
Müller, Jean-François
Shi, Xiaoqin
Wang, Tao
Brasseur, Guy
Publisher UCAR/NCAR - GDEX
Publication Date 2021-03-12
Digital Object Identifier (DOI) https://doi.org/10.5065/cgg0-rr19
Alternate Identifier N/A
Resource Version N/A
Topic Category N/A
Progress N/A
Metadata Date 2022-07-21T11:57:47-06:00
Metadata Record Identifier edu.ucar.gdex::a27f0450-7773-4e0d-b78e-54b78a752098
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, Müller, Jean-François, Shi, Xiaoqin, Wang, Tao, Brasseur, Guy. (2021). CAM-chem simulation of the 2020 lockdown. UCAR/NCAR - GDEX. https://doi.org/10.5065/cgg0-rr19. Accessed 19 May 2024.

Harvest Source