Mar 12, 2021

CAM-chem simulation of the 2020 lockdown


ERROR
Cookies must be enabled.

Version: 3.0

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.

DOI
https://doi.org/10.5065/cgg0-rr19
Download Data and Documentation
472 Files, 73.76 GB Total Size

Individual Files - View, select, and download individual files from this Dataset.

Zip File - Download a ZIP file containing all files.

Python script - Download all files via Python 3, preferred for all operating systems.

Wget shell script - Download all files using Wget, preferred for Linux.

Curl shell script - Download all files via Curl, preferred for MacOS.

Temporal Range
2020-01-01 to 2020-08-01
Related Links
N/A
GCMD Science Keywords
  • Atmosphere > Aerosols > Organic Particles
  • Atmosphere > Air Quality > Tropospheric Ozone
  • Atmosphere > Atmospheric Chemistry > Oxygen Compounds > Ozone
  • Models > Atmospheric Chemistry Models
  • Models > Coupled Climate Models
File Media Types
  • application/x-netcdf
Support Contact
Benjamin Gaubert
UCAR/NCAR - Atmospheric Chemistry Observations and Modeling Laboratory
gaubert@ucar.edu

Data Curator
GDEX Curator
UCAR/NCAR - GDEX
datahelp@ucar.edu

Legal Constraints
Creative Commons Attribution 4.0 International License.
Access Constraints
None
Full Metadata
DIF XML
ISO19139 XML
OAI DC
JSON-LD
Version History
3.0
2.0
1.0

Latitude Range
90.0° N to 90.0° S
Longitude Range
180.0° W to 180.0° E
Authors
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

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. Version 3.0. UCAR/NCAR - GDEX. https://doi.org/10.5065/cgg0-rr19. Accessed 04 Feb 2025.
Downloads
5481
Download Volume
489.15 GB Total