Articles | Volume 7, issue 2
https://doi.org/10.5194/gmd-7-569-2014
© 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-7-569-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
04 Apr 2014
Model description paper |
| 04 Apr 2014
Development of a plume-in-grid model for industrial point and volume sources: application to power plant and refinery sources in the Paris region
CEREA, Joint Laboratory École des Ponts ParisTech/EDF R&D, Université Paris-Est, 77455 Champs-sur-Marne, France
C. Seigneur
CEREA, Joint Laboratory École des Ponts ParisTech/EDF R&D, Université Paris-Est, 77455 Champs-sur-Marne, France
O. Duclaux
CRES, Centre de Recherche TOTAL, 69360 Solaize, France
Viewed
Total article views: 6,339 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Nov 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,864 | 3,123 | 352 | 6,339 | 287 | 381 |
- HTML: 2,864
- PDF: 3,123
- XML: 352
- Total: 6,339
- BibTeX: 287
- EndNote: 381
Total article views: 5,634 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Apr 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,590 | 2,715 | 329 | 5,634 | 273 | 375 |
- HTML: 2,590
- PDF: 2,715
- XML: 329
- Total: 5,634
- BibTeX: 273
- EndNote: 375
Total article views: 705 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Nov 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 274 | 408 | 23 | 705 | 14 | 6 |
- HTML: 274
- PDF: 408
- XML: 23
- Total: 705
- BibTeX: 14
- EndNote: 6
Cited
16 citations as recorded by crossref.
- Impact of model resolution and its representativeness consistency with observations on operational prediction of PM2.5 with 3D-VAR data assimilation Y. Wei et al. https://doi.org/10.1016/j.apr.2024.102141
- Improved virtual point source formulation for continuous atmospheric release of pollutant from a volume source M. Chopra et al. https://doi.org/10.1007/s12040-026-02790-8
- Potential Errors in CMAQ NO:NO2 Ratios and Upper Tropospheric NO2 Impacting the Interpretation of TROPOMI Retrievals A. Lawal et al. https://doi.org/10.1021/acsestair.4c00198
- Improving fine aerosol nitrate predictions using a Plume-in-Grid modeling approach M. Zakoura & S. Pandis https://doi.org/10.1016/j.atmosenv.2019.116887
- Ecosystem Service Flow Perspective of Urban Green Land: Spatial Simulation and Driving Factors of Cooling Service Flow Y. Zhou et al. https://doi.org/10.3390/land12081527
- Nonstationary modeling of NO2, NO and NOx in Paris using the Street-in-Grid model: coupling local and regional scales with a two-way dynamic approach L. Lugon et al. https://doi.org/10.5194/acp-20-7717-2020
- Identify the contribution of elevated industrial plume to ground air quality by optical and machine learning methods L. Feng et al. https://doi.org/10.1088/2515-7620/ab7634
- A multi-model approach to monitor emissions of CO2 and CO from an urban–industrial complex I. Super et al. https://doi.org/10.5194/acp-17-13297-2017
- Modelling chain for the effect of road traffic on air and water quality: Techniques, current status and future prospects M. Fallah Shorshani et al. https://doi.org/10.1016/j.envsoft.2014.11.020
- Photochemical grid model performance with varying horizontal grid resolution and sub-grid plume treatment for the Martins Creek near-field SO2 study K. Baker et al. https://doi.org/10.1016/j.atmosenv.2014.09.064
- Aerosol Plume Characterization From Multitemporal Hyperspectral Analysis P. Foucher et al. https://doi.org/10.1109/JSTARS.2019.2905052
- A comprehensive review of Gaussian atmospheric dispersion models: current usage and future perspectives H. Snoun et al. https://doi.org/10.1007/s41207-023-00354-6
- Recent progress, bottlenecks, and outlook of multiscale air quality modelling: a review Y. Dai et al. https://doi.org/10.1016/j.aeaoa.2026.100435
- Examining single-source secondary impacts estimated from brute-force, decoupled direct method, and advanced plume treatment approaches J. Kelly et al. https://doi.org/10.1016/j.atmosenv.2015.04.004
- Assessing Model Characterization of Single Source Secondary Pollutant Impacts Using 2013 SENEX Field Study Measurements K. Baker & M. Woody https://doi.org/10.1021/acs.est.6b05069
- Multi-scale modeling of urban air pollution: development and application of a Street-in-Grid model (v1.0) by coupling MUNICH (v1.0) and Polair3D (v1.8.1) Y. Kim et al. https://doi.org/10.5194/gmd-11-611-2018
16 citations as recorded by crossref.
- Impact of model resolution and its representativeness consistency with observations on operational prediction of PM2.5 with 3D-VAR data assimilation Y. Wei et al. https://doi.org/10.1016/j.apr.2024.102141
- Improved virtual point source formulation for continuous atmospheric release of pollutant from a volume source M. Chopra et al. https://doi.org/10.1007/s12040-026-02790-8
- Potential Errors in CMAQ NO:NO2 Ratios and Upper Tropospheric NO2 Impacting the Interpretation of TROPOMI Retrievals A. Lawal et al. https://doi.org/10.1021/acsestair.4c00198
- Improving fine aerosol nitrate predictions using a Plume-in-Grid modeling approach M. Zakoura & S. Pandis https://doi.org/10.1016/j.atmosenv.2019.116887
- Ecosystem Service Flow Perspective of Urban Green Land: Spatial Simulation and Driving Factors of Cooling Service Flow Y. Zhou et al. https://doi.org/10.3390/land12081527
- Nonstationary modeling of NO2, NO and NOx in Paris using the Street-in-Grid model: coupling local and regional scales with a two-way dynamic approach L. Lugon et al. https://doi.org/10.5194/acp-20-7717-2020
- Identify the contribution of elevated industrial plume to ground air quality by optical and machine learning methods L. Feng et al. https://doi.org/10.1088/2515-7620/ab7634
- A multi-model approach to monitor emissions of CO2 and CO from an urban–industrial complex I. Super et al. https://doi.org/10.5194/acp-17-13297-2017
- Modelling chain for the effect of road traffic on air and water quality: Techniques, current status and future prospects M. Fallah Shorshani et al. https://doi.org/10.1016/j.envsoft.2014.11.020
- Photochemical grid model performance with varying horizontal grid resolution and sub-grid plume treatment for the Martins Creek near-field SO2 study K. Baker et al. https://doi.org/10.1016/j.atmosenv.2014.09.064
- Aerosol Plume Characterization From Multitemporal Hyperspectral Analysis P. Foucher et al. https://doi.org/10.1109/JSTARS.2019.2905052
- A comprehensive review of Gaussian atmospheric dispersion models: current usage and future perspectives H. Snoun et al. https://doi.org/10.1007/s41207-023-00354-6
- Recent progress, bottlenecks, and outlook of multiscale air quality modelling: a review Y. Dai et al. https://doi.org/10.1016/j.aeaoa.2026.100435
- Examining single-source secondary impacts estimated from brute-force, decoupled direct method, and advanced plume treatment approaches J. Kelly et al. https://doi.org/10.1016/j.atmosenv.2015.04.004
- Assessing Model Characterization of Single Source Secondary Pollutant Impacts Using 2013 SENEX Field Study Measurements K. Baker & M. Woody https://doi.org/10.1021/acs.est.6b05069
- Multi-scale modeling of urban air pollution: development and application of a Street-in-Grid model (v1.0) by coupling MUNICH (v1.0) and Polair3D (v1.8.1) Y. Kim et al. https://doi.org/10.5194/gmd-11-611-2018
Saved (final revised paper)
Latest update: 27 Oct 2026
