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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/gmd-2019-186
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2019-186
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: model description paper 04 Sep 2019

Submitted as: model description paper | 04 Sep 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

Variational regional inverse modeling of reactive species emissions with PYVAR-CHIMERE

Audrey Fortems-Cheiney1, Isabelle Pison1, Gaelle Dufour2, Grégoire Broquet1, Antoine Berchet1, Elise Potier1, Adriana Coman2, Guillaume Siour2, and Lorenzo Costantino2 Audrey Fortems-Cheiney et al.
  • 1Laboratoire des Sciences du Climat et de l’Environnement, LSCE-IPSL (CEA-CNRS-UVSQ), Université Paris-Saclay, 91191 Gif-sur-Yvette, France
  • 2Laboratoire Interuniversitaire des Systèmes Atmosphériques, UMR CNRS 7583, Université Paris Est Créteil et Université Paris Diderot, Institut Pierre Simon Laplace, Créteil, France

Abstract. Up-to-date and accurate emission inventories for air pollutants are essential for understanding their role in the formation of tropospheric ozone and particulate matter at various temporal scales, for anticipating pollution peaks and for identifying the key drivers that could help mitigate their emissions. This paper describes the Bayesian variational inverse system PYVAR-CHIMERE, which is adapted to the inversion of reactive species. Complementarily with bottom-up inventories, this system aims at updating and improving the knowledge on the high spatio-temporal variability of emissions of air pollutants and their precursors. The system is designed to use any type of observations, such as satellite observations or surface stations. The potential of PYVAR-CHIMERE is illustrated with one-day inversions of CO and NO2 emissions in Europe, using the MOPITT and OMI satellite observations (for CO and for NO2, respectively).

Audrey Fortems-Cheiney et al.
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Short summary
Up-to-date and accurate emission inventories for air pollutants are essential for understanding their role in the formation of tropospheric ozone and particulate matter, for anticipating pollution peaks and for identifying the key drivers that could help mitigate their emissions. Complementarily with bottom-up inventories, the system described here aims at updating and improving the knowledge on the high spatio-temporal variability of emissions of air pollutant and their precursors.
Up-to-date and accurate emission inventories for air pollutants are essential for understanding...
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