edu.ucar.gdex::d583143 eng; USA utf-8 dataset NSF NCAR Geoscience Data Exchange datahelp@ucar.edu https://gdex.ucar.edu NSF NCAR Geoscience Data Exchange The Geoscience Data Exchange (GDEX), managed by the Computational and Information Systems Laboratory (CISL) at NSF NCAR, contains a large collection of meteorological, atmospheric composition, and oceanographic observations, and operational and reanalysis model outputs, integrated with NSF NCAR High Performance Compute services to support atmospheric and geosciences research. download pointOfContact 2026-04-22T19:23:32Z ISO 19115 Geographic Information - Metadata ISO19115:2003/Cor 1 2006 https://doi.org/10.5065/cgg0-rr19 CAM-chem simulation of the 2020 lockdown d583143 2021-03-12 publication Gaubert, Benjamin author Tilmes, Simone author Bouarar, Idir author Doumbia, Thierno author Liu, Yiming author Stavrakou, Trissevgeni author Deroubaix, Adrien author Darras, Sabine author Elguindi, Nellie author Granier, Claire author Lacey, Forrest G. author M\u00fcller, Jean-Fran\u00e7ois author Shi, Xiaoqin author Wang, Tao author Brasseur, Guy P. author NSF National Center for Atmospheric Research publisher 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. completed datahelp@ucar.edu pointOfContact notPlanned dataset https://gdex.ucar.edu/images/ds_logos/default_200_200.png Logo thumbnail from URL png NetCDF dataset Resource Type 2021-03-30 revision 4.4 DataCite Metadata Working Group orginator resourceTypeGeneral CAM-chem > Community Atmosphere Model with Chemistry CESM > NCAR Community Earth System Model U.S. National Aeronautics and Space Administration Global Change Master Directory GCMD 2026-04-15 revision 23.7 NASA Global Change Master Directory orginator Valids List: Platforms EARTH SCIENCE > ATMOSPHERE > AEROSOLS > ORGANIC PARTICLES EARTH SCIENCE > ATMOSPHERE > AIR QUALITY > TROPOSPHERIC OZONE EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC CHEMISTRY > OXYGEN COMPOUNDS > ATMOSPHERIC OZONE U.S. National Aeronautics and Space Administration Global Change Master Directory GCMD 2026-04-15 revision 23.7 NASA Global Change Master Directory orginator Valids List: Science and Services Keywords Creative Commons Attribution 4.0 International License None eng utf-8 climatologyMeteorologyAtmosphere 2020-01-01 2020-08-01 NSF NCAR Geoscience Data Exchange datahelp@ucar.edu https://gdex.ucar.edu distributor 79202.21 https://gdex.ucar.edu/datasets/d583143/ https Dataset Description Related Link information https://gdex.ucar.edu/datasets/d583143/dataaccess/ https Data Access Related Link download none asNeeded