Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 5
Articles | Volume 14, issue 5
https://doi.org/10.5194/gmd-14-2939-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-2939-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 5
Model description paper
 | 
26 May 2021
Model description paper |  | 26 May 2021

Variational regional inverse modeling of reactive species emissions with PYVAR-CHIMERE-v2019

Audrey Fortems-Cheiney, Isabelle Pison, Grégoire Broquet, Gaëlle Dufour, Antoine Berchet, Elise Potier, Adriana Coman, Guillaume Siour, and Lorenzo Costantino

Data sets

QA4ECV NO2 tropospheric and stratospheric vertical column data from OMI (Version 1.1) K. F. Boersma, H. Eskes, A. Richter, I. De Smedt, A. Lorente, S. Beirle, J. Van Geffen, E. Peters, M. Van Roozendael, and T. Wagner https://doi.org/10.21944/qa4ecv-no2-omi-v1.1

Radiance-based retrieval bias mitigation for the MOPITT instrument: the version 8 product (ftp://l5ftl01.larc.nasa.gov/MOPITT/) M. N. Deeter, D. P. Edwards, G. L. Francis, J. C. Gille, D. Mao, S. Martínez-Alonso, H. M. Worden, D. Ziskin, and M. O. Andreae https://doi.org/10.5194/amt-12-4561-2019

Model code and software

CHIMERE code CHIMERE https://www.lmd.polytechnique.fr/chimere/

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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 spatiotemporal variability of emissions of air pollutants.
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