Articles | Volume 7, issue 4
https://doi.org/10.5194/gmd-7-1483-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-7-1483-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
18 Jul 2014
Development and technical paper |
| 18 Jul 2014
A novel model evaluation approach focusing on local and advected contributions to urban PM2.5 levels – application to Paris, France
H. Petetin
LISA/IPSL, Laboratoire Interuniversitaire des Systèmes Atmosphériques, UMR CNRS7583, Université Paris Est Créteil (UPEC) et Université Paris Diderot (UPD), France
M. Beekmann
LISA/IPSL, Laboratoire Interuniversitaire des Systèmes Atmosphériques, UMR CNRS7583, Université Paris Est Créteil (UPEC) et Université Paris Diderot (UPD), France
J. Sciare
LSCE, Laboratoire des Sciences du Climat et de l'Environnement, CNRS-CEA-UVSQ, Gif-sur-Yvette, France
M. Bressi
LSCE, Laboratoire des Sciences du Climat et de l'Environnement, CNRS-CEA-UVSQ, Gif-sur-Yvette, France
A. Rosso
AIRPARIF, Agence de surveillance de la qualité de l'air, Paris, France
O. Sanchez
AIRPARIF, Agence de surveillance de la qualité de l'air, Paris, France
V. Ghersi
AIRPARIF, Agence de surveillance de la qualité de l'air, Paris, France
Viewed
Total article views: 4,818 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 05 Dec 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,999 | 1,583 | 236 | 4,818 | 280 | 350 |
- HTML: 2,999
- PDF: 1,583
- XML: 236
- Total: 4,818
- BibTeX: 280
- EndNote: 350
Total article views: 4,027 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Jul 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,635 | 1,176 | 216 | 4,027 | 268 | 343 |
- HTML: 2,635
- PDF: 1,176
- XML: 216
- Total: 4,027
- BibTeX: 268
- EndNote: 343
Total article views: 791 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 05 Dec 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 364 | 407 | 20 | 791 | 12 | 7 |
- HTML: 364
- PDF: 407
- XML: 20
- Total: 791
- BibTeX: 12
- EndNote: 7
Cited
27 citations as recorded by crossref.
- Why is the city's responsibility for its air pollution often underestimated? A focus on PM2.5 P. Thunis et al. https://doi.org/10.5194/acp-21-18195-2021
- Paris air quality monitoring for the 2024 Olympics and Paralympics: focus on air pollutants and pollen V. Bougault et al. https://doi.org/10.1136/bjsports-2024-108129
- Characterising an intense PM pollution episode in March 2015 in France from multi-site approach and near real time data: Climatology, variabilities, geographical origins and model evaluation J. Petit et al. https://doi.org/10.1016/j.atmosenv.2017.02.012
- Biogenic secondary organic aerosol sensitivity to organic aerosol simulation schemes in climate projections A. Cholakian et al. https://doi.org/10.5194/acp-19-13209-2019
- Effect of Long-Range Transported Aerosol on Urban Air Quality in Eastern Germany S. Atabakhsh et al. https://doi.org/10.1021/acsestair.5c00126
- Improving the design stage of air pollution studies based on wind patterns L. Zabrocki et al. https://doi.org/10.1038/s41598-022-11939-6
- In situ, satellite measurement and model evidence on the dominant regional contribution to fine particulate matter levels in the Paris megacity M. Beekmann et al. https://doi.org/10.5194/acp-15-9577-2015
- Two years of near real-time chemical composition of submicron aerosols in the region of Paris using an Aerosol Chemical Speciation Monitor (ACSM) and a multi-wavelength Aethalometer J. Petit et al. https://doi.org/10.5194/acp-15-2985-2015
- New Insights on the Formation of Nucleation Mode Particles in a Coastal City Based on a Machine Learning Approach C. Yang et al. https://doi.org/10.1021/acs.est.3c07042
- Long-range and local air pollution: what can we learn from chemical speciation of particulate matter at paired sites? M. Pandolfi et al. https://doi.org/10.5194/acp-20-409-2020
- Chemical nature and sources of fine particles in urban Beijing: Seasonality and formation mechanisms Y. Gu et al. https://doi.org/10.1016/j.envint.2020.105732
- A comparison of long-term trends in observations and emission inventories of NOx E. Macdonald et al. https://doi.org/10.5194/acp-21-4007-2021
- Assessing the ammonium nitrate formation regime in the Paris megacity and its representation in the CHIMERE model H. Petetin et al. https://doi.org/10.5194/acp-16-10419-2016
- Evaluating BC and NOx emission inventories for the Paris region from MEGAPOLI aircraft measurements H. Petetin et al. https://doi.org/10.5194/acp-15-9799-2015
- Oligomer formation in the troposphere: from experimental knowledge to 3-D modeling V. Lemaire et al. https://doi.org/10.5194/gmd-9-1361-2016
- The December 2016 extreme weather and particulate matter pollution episode in the Paris region (France) G. Foret et al. https://doi.org/10.1016/j.atmosenv.2022.119386
- Simulation of fine organic aerosols in the western Mediterranean area during the ChArMEx 2013 summer campaign A. Cholakian et al. https://doi.org/10.5194/acp-18-7287-2018
- Modeling organic aerosol over Europe in summer conditions with the VBS-GECKO parameterization: sensitivity to secondary organic compound properties and IVOC (intermediate-volatility organic compound) emissions V. Lannuque et al. https://doi.org/10.5194/acp-20-4905-2020
- Meteorology-driven variability of air pollution (PM1) revealed with explainable machine learning R. Stirnberg et al. https://doi.org/10.5194/acp-21-3919-2021
- On the validity of the incremental approach to estimate the impact of cities on air quality P. Thunis https://doi.org/10.1016/j.atmosenv.2017.11.012
- Future climatic drivers and their effect on PM10 components in Europe and the Mediterranean Sea A. Cholakian et al. https://doi.org/10.5194/acp-19-4459-2019
- PM2.5 source allocation in European cities: A SHERPA modelling study P. Thunis et al. https://doi.org/10.1016/j.atmosenv.2018.05.062
- Formation of secondary organic aerosol in the Paris pollution plume and its impact on surrounding regions Q. Zhang et al. https://doi.org/10.5194/acp-15-13973-2015
- Measurement-based assessment of the regional contribution and drivers of reduction in annual and daily fine particulate matter impact metrics in Paris, France (2009–2018) C. Malley & E. Lefèvre https://doi.org/10.1016/j.atmosenv.2019.04.061
- Concentration Trajectory Route of Air pollution with an Integrated Lagrangian model (C-TRAIL Model v1.0) derived from the Community Multiscale Air Quality Model (CMAQ Model v5.2) A. Pouyaei et al. https://doi.org/10.5194/gmd-13-3489-2020
- Traffic induced particle resuspension in Paris: Emission factors and source contributions F. Amato et al. https://doi.org/10.1016/j.atmosenv.2016.01.022
- Mapping and Understanding Patterns of Air Quality Using Satellite Data and Machine Learning R. Stirnberg et al. https://doi.org/10.1029/2019JD031380
27 citations as recorded by crossref.
- Why is the city's responsibility for its air pollution often underestimated? A focus on PM2.5 P. Thunis et al. https://doi.org/10.5194/acp-21-18195-2021
- Paris air quality monitoring for the 2024 Olympics and Paralympics: focus on air pollutants and pollen V. Bougault et al. https://doi.org/10.1136/bjsports-2024-108129
- Characterising an intense PM pollution episode in March 2015 in France from multi-site approach and near real time data: Climatology, variabilities, geographical origins and model evaluation J. Petit et al. https://doi.org/10.1016/j.atmosenv.2017.02.012
- Biogenic secondary organic aerosol sensitivity to organic aerosol simulation schemes in climate projections A. Cholakian et al. https://doi.org/10.5194/acp-19-13209-2019
- Effect of Long-Range Transported Aerosol on Urban Air Quality in Eastern Germany S. Atabakhsh et al. https://doi.org/10.1021/acsestair.5c00126
- Improving the design stage of air pollution studies based on wind patterns L. Zabrocki et al. https://doi.org/10.1038/s41598-022-11939-6
- In situ, satellite measurement and model evidence on the dominant regional contribution to fine particulate matter levels in the Paris megacity M. Beekmann et al. https://doi.org/10.5194/acp-15-9577-2015
- Two years of near real-time chemical composition of submicron aerosols in the region of Paris using an Aerosol Chemical Speciation Monitor (ACSM) and a multi-wavelength Aethalometer J. Petit et al. https://doi.org/10.5194/acp-15-2985-2015
- New Insights on the Formation of Nucleation Mode Particles in a Coastal City Based on a Machine Learning Approach C. Yang et al. https://doi.org/10.1021/acs.est.3c07042
- Long-range and local air pollution: what can we learn from chemical speciation of particulate matter at paired sites? M. Pandolfi et al. https://doi.org/10.5194/acp-20-409-2020
- Chemical nature and sources of fine particles in urban Beijing: Seasonality and formation mechanisms Y. Gu et al. https://doi.org/10.1016/j.envint.2020.105732
- A comparison of long-term trends in observations and emission inventories of NOx E. Macdonald et al. https://doi.org/10.5194/acp-21-4007-2021
- Assessing the ammonium nitrate formation regime in the Paris megacity and its representation in the CHIMERE model H. Petetin et al. https://doi.org/10.5194/acp-16-10419-2016
- Evaluating BC and NOx emission inventories for the Paris region from MEGAPOLI aircraft measurements H. Petetin et al. https://doi.org/10.5194/acp-15-9799-2015
- Oligomer formation in the troposphere: from experimental knowledge to 3-D modeling V. Lemaire et al. https://doi.org/10.5194/gmd-9-1361-2016
- The December 2016 extreme weather and particulate matter pollution episode in the Paris region (France) G. Foret et al. https://doi.org/10.1016/j.atmosenv.2022.119386
- Simulation of fine organic aerosols in the western Mediterranean area during the ChArMEx 2013 summer campaign A. Cholakian et al. https://doi.org/10.5194/acp-18-7287-2018
- Modeling organic aerosol over Europe in summer conditions with the VBS-GECKO parameterization: sensitivity to secondary organic compound properties and IVOC (intermediate-volatility organic compound) emissions V. Lannuque et al. https://doi.org/10.5194/acp-20-4905-2020
- Meteorology-driven variability of air pollution (PM1) revealed with explainable machine learning R. Stirnberg et al. https://doi.org/10.5194/acp-21-3919-2021
- On the validity of the incremental approach to estimate the impact of cities on air quality P. Thunis https://doi.org/10.1016/j.atmosenv.2017.11.012
- Future climatic drivers and their effect on PM10 components in Europe and the Mediterranean Sea A. Cholakian et al. https://doi.org/10.5194/acp-19-4459-2019
- PM2.5 source allocation in European cities: A SHERPA modelling study P. Thunis et al. https://doi.org/10.1016/j.atmosenv.2018.05.062
- Formation of secondary organic aerosol in the Paris pollution plume and its impact on surrounding regions Q. Zhang et al. https://doi.org/10.5194/acp-15-13973-2015
- Measurement-based assessment of the regional contribution and drivers of reduction in annual and daily fine particulate matter impact metrics in Paris, France (2009–2018) C. Malley & E. Lefèvre https://doi.org/10.1016/j.atmosenv.2019.04.061
- Concentration Trajectory Route of Air pollution with an Integrated Lagrangian model (C-TRAIL Model v1.0) derived from the Community Multiscale Air Quality Model (CMAQ Model v5.2) A. Pouyaei et al. https://doi.org/10.5194/gmd-13-3489-2020
- Traffic induced particle resuspension in Paris: Emission factors and source contributions F. Amato et al. https://doi.org/10.1016/j.atmosenv.2016.01.022
- Mapping and Understanding Patterns of Air Quality Using Satellite Data and Machine Learning R. Stirnberg et al. https://doi.org/10.1029/2019JD031380
Saved (final revised paper)
Latest update: 12 Sep 2026
Download
The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.
- Article
(1002 KB) - Metadata XML
- Corrigendum
-
Supplement
(1214 KB) - BibTeX
- EndNote
