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.
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.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
26 May 2021
Model description paper |
| 26 May 2021
| 26 May 2021
Variational regional inverse modeling of reactive species emissions with PYVAR-CHIMERE-v2019
Audrey Fortems-Cheiney
CORRESPONDING AUTHOR
Laboratoire des Sciences du Climat et de l'Environnement, LSCE-IPSL
(CEA-CNRS-UVSQ), Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Isabelle Pison
Laboratoire des Sciences du Climat et de l'Environnement, LSCE-IPSL
(CEA-CNRS-UVSQ), Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Grégoire Broquet
Laboratoire des Sciences du Climat et de l'Environnement, LSCE-IPSL
(CEA-CNRS-UVSQ), Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Gaëlle Dufour
Laboratoire Interuniversitaire des Systèmes Atmosphériques,
UMR CNRS 7583, Université Paris Est Créteil et Université Paris
Diderot, Institut Pierre Simon Laplace, Créteil, France
Antoine Berchet
Laboratoire des Sciences du Climat et de l'Environnement, LSCE-IPSL
(CEA-CNRS-UVSQ), Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Elise Potier
Laboratoire des Sciences du Climat et de l'Environnement, LSCE-IPSL
(CEA-CNRS-UVSQ), Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Adriana Coman
Laboratoire Interuniversitaire des Systèmes Atmosphériques,
UMR CNRS 7583, Université Paris Est Créteil et Université Paris
Diderot, Institut Pierre Simon Laplace, Créteil, France
Guillaume Siour
Laboratoire Interuniversitaire des Systèmes Atmosphériques,
UMR CNRS 7583, Université Paris Est Créteil et Université Paris
Diderot, Institut Pierre Simon Laplace, Créteil, France
Lorenzo Costantino
Laboratoire Interuniversitaire des Systèmes Atmosphériques,
UMR CNRS 7583, Université Paris Est Créteil et Université Paris
Diderot, Institut Pierre Simon Laplace, Créteil, France
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Cited
11 citations as recorded by crossref.
- The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019 A. Petrescu et al. 10.5194/essd-15-1197-2023
- Do State‐Of‐The‐Art Atmospheric CO2 Inverse Models Capture Drought Impacts on the European Land Carbon Uptake? W. He et al. 10.1029/2022MS003150
- Anthropogenic NOx Emission Estimations over East China for 2015 and 2019 Using OMI Satellite Observations and the New Inverse Modeling System CIF-CHIMERE D. Savas et al. 10.3390/atmos14010154
- The consolidated European synthesis of CO2 emissions and removals for the European Union and United Kingdom: 1990–2020 M. McGrath et al. 10.5194/essd-15-4295-2023
- Decreasing trends of ammonia emissions over Europe seen from remote sensing and inverse modelling O. Tichý et al. 10.5194/acp-23-15235-2023
- The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
- CO anthropogenic emissions in Europe from 2011 to 2021: insights from Measurement of Pollution in the Troposphere (MOPITT) satellite data A. Fortems-Cheiney et al. 10.5194/acp-24-4635-2024
- Methane (CH<sub>4</sub>) sources in Krakow, Poland: insights from isotope analysis M. Menoud et al. 10.5194/acp-21-13167-2021
- Complementing XCO2 imagery with ground-based CO2 and 14CO2 measurements to monitor CO2 emissions from fossil fuels on a regional to local scale E. Potier et al. 10.5194/amt-15-5261-2022
- Characterisation of methane sources in Lutjewad, The Netherlands, using quasi-continuous isotopic composition measurements M. Menoud et al. 10.1080/16000889.2020.1823733
- The regional European atmospheric transport inversion comparison, EUROCOM: first results on European-wide terrestrial carbon fluxes for the period 2006–2015 G. Monteil et al. 10.5194/acp-20-12063-2020
9 citations as recorded by crossref.
- The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019 A. Petrescu et al. 10.5194/essd-15-1197-2023
- Do State‐Of‐The‐Art Atmospheric CO2 Inverse Models Capture Drought Impacts on the European Land Carbon Uptake? W. He et al. 10.1029/2022MS003150
- Anthropogenic NOx Emission Estimations over East China for 2015 and 2019 Using OMI Satellite Observations and the New Inverse Modeling System CIF-CHIMERE D. Savas et al. 10.3390/atmos14010154
- The consolidated European synthesis of CO2 emissions and removals for the European Union and United Kingdom: 1990–2020 M. McGrath et al. 10.5194/essd-15-4295-2023
- Decreasing trends of ammonia emissions over Europe seen from remote sensing and inverse modelling O. Tichý et al. 10.5194/acp-23-15235-2023
- The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
- CO anthropogenic emissions in Europe from 2011 to 2021: insights from Measurement of Pollution in the Troposphere (MOPITT) satellite data A. Fortems-Cheiney et al. 10.5194/acp-24-4635-2024
- Methane (CH<sub>4</sub>) sources in Krakow, Poland: insights from isotope analysis M. Menoud et al. 10.5194/acp-21-13167-2021
- Complementing XCO2 imagery with ground-based CO2 and 14CO2 measurements to monitor CO2 emissions from fossil fuels on a regional to local scale E. Potier et al. 10.5194/amt-15-5261-2022
2 citations as recorded by crossref.
- Characterisation of methane sources in Lutjewad, The Netherlands, using quasi-continuous isotopic composition measurements M. Menoud et al. 10.1080/16000889.2020.1823733
- The regional European atmospheric transport inversion comparison, EUROCOM: first results on European-wide terrestrial carbon fluxes for the period 2006–2015 G. Monteil et al. 10.5194/acp-20-12063-2020
Latest update: 26 Apr 2024
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.
Up-to-date and accurate emission inventories for air pollutants are essential for understanding...
