Articles | Volume 14, issue 5
Geosci. Model Dev., 14, 2939–2957, 2021
https://doi.org/10.5194/gmd-14-2939-2021
Geosci. Model Dev., 14, 2939–2957, 2021
https://doi.org/10.5194/gmd-14-2939-2021

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 et al.

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.