Articles | Volume 10, issue 1
https://doi.org/10.5194/acp-10-267-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-10-267-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Stochastic fields method for sub-grid scale emission heterogeneity in mesoscale atmospheric dispersion models
M. Cassiani
Norwegian Institute for Air Research (NILU), 2027 Kjeller, Norway
J. F. Vinuesa
European Commission – DG Joint Research Centre, Institute for Environment and Sustainability, 21020 Ispra, Italy
S. Galmarini
European Commission – DG Joint Research Centre, Institute for Environment and Sustainability, 21020 Ispra, Italy
B. Denby
Norwegian Institute for Air Research (NILU), 2027 Kjeller, Norway
Viewed
Total article views: 3,861 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 14 Jul 2009)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,452 | 1,259 | 150 | 3,861 | 162 | 150 |
- HTML: 2,452
- PDF: 1,259
- XML: 150
- Total: 3,861
- BibTeX: 162
- EndNote: 150
Total article views: 2,725 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 13 Jan 2010)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,650 | 942 | 133 | 2,725 | 142 | 143 |
- HTML: 1,650
- PDF: 942
- XML: 133
- Total: 2,725
- BibTeX: 142
- EndNote: 143
Total article views: 1,136 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 14 Jul 2009)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 802 | 317 | 17 | 1,136 | 20 | 7 |
- HTML: 802
- PDF: 317
- XML: 17
- Total: 1,136
- BibTeX: 20
- EndNote: 7
Cited
19 citations as recorded by crossref.
- Dispersion modeling of thermal power plant emissions on stochastic space J. Gorle & N. Sambana https://doi.org/10.1007/s00704-015-1483-1
- The Volumetric Particle Approach for Concentration Fluctuations and Chemical Reactions in Lagrangian Particle and Particle-grid Models M. Cassiani https://doi.org/10.1007/s10546-012-9752-3
- Incorporating Super‐Diffusion due to Sub‐Grid Heterogeneity to Capture Non‐Fickian Transport B. Baeumer et al. https://doi.org/10.1111/gwat.12267
- Dispersion of a Passive Scalar Fluctuating Plume in a Turbulent Boundary Layer. Part III: Stochastic Modelling M. Marro et al. https://doi.org/10.1007/s10546-017-0330-6
- Transferring the heterogeneity of surface emissions to variability in pollutant concentrations over urban areas through a chemistry-transport model M. Valari & L. Menut https://doi.org/10.1016/j.atmosenv.2010.06.001
- Transported PDF modeling of compressible turbulent reactive flows by using the Eulerian Monte Carlo fields method T. Pant et al. https://doi.org/10.1016/j.jcp.2020.109899
- Consistency and convergence of Eulerian Monte Carlo field method for solving transported probability density function equation in turbulence modeling H. Wang et al. https://doi.org/10.1063/1.5053098
- Sub-grid variability and its impact on European wide air quality exposure assessment B. Denby et al. https://doi.org/10.1016/j.atmosenv.2011.05.007
- Concentration Fluctuations from Localized Atmospheric Releases M. Cassiani et al. https://doi.org/10.1007/s10546-020-00547-4
- An approach to characterize within-grid concentration variability in air quality models J. Ching & M. Majeed https://doi.org/10.1016/j.atmosenv.2011.11.006
- Modelling segregation effects of heterogeneous emissions on ozone levels in idealised urban street canyons: Using photochemical box models J. Zhong et al. https://doi.org/10.1016/j.envpol.2014.02.001
- The CHIMERE v2020r1 online chemistry-transport model L. Menut et al. https://doi.org/10.5194/gmd-14-6781-2021
- Sub-grid Variability and its Impact on Exposure in Regional Scale Air Quality and Integrated Assessment Models: Application of the uEMEP Downscaling Model B. Denby et al. https://doi.org/10.1016/j.atmosenv.2024.120586
- Air quality forecasts on a kilometer-scale grid over complex Spanish terrains M. Pay et al. https://doi.org/10.5194/gmd-7-1979-2014
- Fully consistent Eulerian Monte Carlo fields method for solving probability density function transport equations in turbulence modeling H. Wang https://doi.org/10.1063/5.0037649
- 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
- Superstatistical Wind Fields from Pointwise Atmospheric Turbulence Measurements J. Friedrich et al. https://doi.org/10.1103/PRXEnergy.1.023006
- On the Convergence and Capability of the Large-Eddy Simulation of Concentration Fluctuations in Passive Plumes for a Neutral Boundary Layer at Infinite Reynolds Number H. Ardeshiri et al. https://doi.org/10.1007/s10546-020-00537-6
- Sub-Grid Scale Plume Modeling P. Karamchandani et al. https://doi.org/10.3390/atmos2030389
19 citations as recorded by crossref.
- Dispersion modeling of thermal power plant emissions on stochastic space J. Gorle & N. Sambana https://doi.org/10.1007/s00704-015-1483-1
- The Volumetric Particle Approach for Concentration Fluctuations and Chemical Reactions in Lagrangian Particle and Particle-grid Models M. Cassiani https://doi.org/10.1007/s10546-012-9752-3
- Incorporating Super‐Diffusion due to Sub‐Grid Heterogeneity to Capture Non‐Fickian Transport B. Baeumer et al. https://doi.org/10.1111/gwat.12267
- Dispersion of a Passive Scalar Fluctuating Plume in a Turbulent Boundary Layer. Part III: Stochastic Modelling M. Marro et al. https://doi.org/10.1007/s10546-017-0330-6
- Transferring the heterogeneity of surface emissions to variability in pollutant concentrations over urban areas through a chemistry-transport model M. Valari & L. Menut https://doi.org/10.1016/j.atmosenv.2010.06.001
- Transported PDF modeling of compressible turbulent reactive flows by using the Eulerian Monte Carlo fields method T. Pant et al. https://doi.org/10.1016/j.jcp.2020.109899
- Consistency and convergence of Eulerian Monte Carlo field method for solving transported probability density function equation in turbulence modeling H. Wang et al. https://doi.org/10.1063/1.5053098
- Sub-grid variability and its impact on European wide air quality exposure assessment B. Denby et al. https://doi.org/10.1016/j.atmosenv.2011.05.007
- Concentration Fluctuations from Localized Atmospheric Releases M. Cassiani et al. https://doi.org/10.1007/s10546-020-00547-4
- An approach to characterize within-grid concentration variability in air quality models J. Ching & M. Majeed https://doi.org/10.1016/j.atmosenv.2011.11.006
- Modelling segregation effects of heterogeneous emissions on ozone levels in idealised urban street canyons: Using photochemical box models J. Zhong et al. https://doi.org/10.1016/j.envpol.2014.02.001
- The CHIMERE v2020r1 online chemistry-transport model L. Menut et al. https://doi.org/10.5194/gmd-14-6781-2021
- Sub-grid Variability and its Impact on Exposure in Regional Scale Air Quality and Integrated Assessment Models: Application of the uEMEP Downscaling Model B. Denby et al. https://doi.org/10.1016/j.atmosenv.2024.120586
- Air quality forecasts on a kilometer-scale grid over complex Spanish terrains M. Pay et al. https://doi.org/10.5194/gmd-7-1979-2014
- Fully consistent Eulerian Monte Carlo fields method for solving probability density function transport equations in turbulence modeling H. Wang https://doi.org/10.1063/5.0037649
- 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
- Superstatistical Wind Fields from Pointwise Atmospheric Turbulence Measurements J. Friedrich et al. https://doi.org/10.1103/PRXEnergy.1.023006
- On the Convergence and Capability of the Large-Eddy Simulation of Concentration Fluctuations in Passive Plumes for a Neutral Boundary Layer at Infinite Reynolds Number H. Ardeshiri et al. https://doi.org/10.1007/s10546-020-00537-6
- Sub-Grid Scale Plume Modeling P. Karamchandani et al. https://doi.org/10.3390/atmos2030389
Saved (final revised paper)
Latest update: 29 May 2026