Articles | Volume 13, issue 8
https://doi.org/10.5194/essd-13-4191-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-4191-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
26 Aug 2021
Data description paper |
| 26 Aug 2021
| 26 Aug 2021
Changes in global air pollutant emissions during the COVID-19 pandemic: a dataset for atmospheric modeling
Thierno Doumbia
CORRESPONDING AUTHOR
Laboratoire d'Aérologie, Université de Toulouse, CNRS/UPS,
Toulouse, France
Claire Granier
CORRESPONDING AUTHOR
Laboratoire d'Aérologie, Université de Toulouse, CNRS/UPS,
Toulouse, France
NOAA Chemical Sciences Laboratory–CIRES/University of Colorado, Boulder, CO, USA
Nellie Elguindi
Laboratoire d'Aérologie, Université de Toulouse, CNRS/UPS,
Toulouse, France
Idir Bouarar
Max Planck Institute for Meteorology, Hamburg, Germany
Sabine Darras
Observatoire Midi-Pyrénées, Toulouse, France
Guy Brasseur
Max Planck Institute for Meteorology, Hamburg, Germany
Atmospheric Chemistry Observations and Modeling, National Center for
Atmospheric Research, Boulder, CO, USA
Benjamin Gaubert
Atmospheric Chemistry Observations and Modeling, National Center for
Atmospheric Research, Boulder, CO, USA
Yiming Liu
Department of Civil and Environmental Engineering, The Hong Kong
Polytechnic University, Hong Kong, China
Xiaoqin Shi
Max Planck Institute for Meteorology, Hamburg, Germany
Trissevgeni Stavrakou
Royal Belgian Royal Institute for Space Aeronomy, Brussels, Belgium
Simone Tilmes
Atmospheric Chemistry Observations and Modeling, National Center for
Atmospheric Research, Boulder, CO, USA
Forrest Lacey
Atmospheric Chemistry Observations and Modeling, National Center for
Atmospheric Research, Boulder, CO, USA
Adrien Deroubaix
Max Planck Institute for Meteorology, Hamburg, Germany
Department of Civil and Environmental Engineering, The Hong Kong
Polytechnic University, Hong Kong, China
Data sets
The CONFORM covid-19 global emission factors T. Doumbia, C. Granier, N. Elguindi, I. Bouarar, S. Darras, G. Brasseur, B. Gaubert, Y. Liu, X. Shi, J. Stavrakou, S. Tilmes, F. Lacey, A. Deroubaix, and T. Wang https://doi.org/10.25326/88
Short summary
Most countries around the world have implemented control measures to combat the spread of the COVID-19 pandemic, resulting in significant changes in economic and personal activities. We developed the CONFORM (COvid-19 adjustmeNt Factors fOR eMissions) dataset to account for changes in emissions during lockdowns. This dataset was created with the intention of being directly applicable to existing global and regional inventories used in chemical transport models.
Most countries around the world have implemented control measures to combat the spread of the...
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Final-revised paper
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