Articles | Volume 11, issue 10
https://doi.org/10.5194/gmd-11-4069-2018
© Author(s) 2018. 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-11-4069-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Comparison of dealiasing schemes in large-eddy simulation of neutrally stratified atmospheric flows
Fabien Margairaz
University of Utah, Department of Mechanical Engineering, Salt Lake City, UT 84112, USA
Marco G. Giometto
Columbia University, Civil Engineering and Engineering Mechanics, New York, NY 10027, USA
Marc B. Parlange
Monash University, Department of Civil Engineering, Clayton, VIC 3800, Australia
Marc Calaf
CORRESPONDING AUTHOR
University of Utah, Department of Mechanical Engineering, Salt Lake City, UT 84112, USA
Viewed
Total article views: 4,748 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 17 Nov 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,226 | 1,372 | 150 | 4,748 | 186 | 275 |
- HTML: 3,226
- PDF: 1,372
- XML: 150
- Total: 4,748
- BibTeX: 186
- EndNote: 275
Total article views: 3,980 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Oct 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,877 | 983 | 120 | 3,980 | 168 | 241 |
- HTML: 2,877
- PDF: 983
- XML: 120
- Total: 3,980
- BibTeX: 168
- EndNote: 241
Total article views: 768 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 17 Nov 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 349 | 389 | 30 | 768 | 18 | 34 |
- HTML: 349
- PDF: 389
- XML: 30
- Total: 768
- BibTeX: 18
- EndNote: 34
Viewed (geographical distribution)
Total article views: 4,748 (including HTML, PDF, and XML)
Thereof 4,498 with geography defined
and 250 with unknown origin.
Total article views: 3,980 (including HTML, PDF, and XML)
Thereof 3,765 with geography defined
and 215 with unknown origin.
Total article views: 768 (including HTML, PDF, and XML)
Thereof 733 with geography defined
and 35 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
17 citations as recorded by crossref.
- Mean flow and turbulence in unsteady canopy layers W. Li & M. Giometto https://doi.org/10.1017/jfm.2023.801
- BoundaryLayerDynamics.jl v1.0: a modern codebase for atmospheric boundary-layer simulations M. Schmid et al. https://doi.org/10.5194/gmd-17-321-2024
- Logarithmic-Linear Law of the Streamwise Velocity Variance in Stably Stratified Boundary Layers X. Yang et al. https://doi.org/10.1007/s10546-021-00683-5
- Incorporating the effect of heterogeneous surface heating into a semi-empirical model of the surface energy balance closure L. Wanner et al. https://doi.org/10.1371/journal.pone.0268097
- The structure of turbulence in unsteady flow over urban canopies W. Li & M. Giometto https://doi.org/10.1017/jfm.2023.974
- The dynamics of concentration fluctuations within passive scalar plumes in a turbulent neutral boundary layer M. Cassiani et al. https://doi.org/10.1017/jfm.2024.861
- An improved dealiasing scheme for the fourth‐order Runge‐Kutta method: Formulation, accuracy and efficiency analysis A. Sinhababu & S. Ayyalasomayajula https://doi.org/10.1002/fld.4898
- Impact of the numerical domain on turbulent flow statistics: scalings and considerations for canopy flows A. Sathe & M. Giometto https://doi.org/10.1017/jfm.2023.1041
- Pattern formation in a coupled driven diffusive system G. Freire Oliveira et al. https://doi.org/10.1103/23pw-x6sd
- 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
- Reducing data-driven dynamical subgrid scale models by physical constraints W. Edeling & D. Crommelin https://doi.org/10.1016/j.compfluid.2020.104470
- Surface Thermal Heterogeneities and the Atmospheric Boundary Layer: The Thermal Heterogeneity Parameter F. Margairaz et al. https://doi.org/10.1007/s10546-020-00544-7
- On the structure and dynamics of secondary flows over multicolumn roughness in channel flow A. Sathe et al. https://doi.org/10.1017/jfm.2025.10965
- Surface Thermal Heterogeneities and the Atmospheric Boundary Layer: The Relevance of Dispersive Fluxes F. Margairaz et al. https://doi.org/10.1007/s10546-020-00509-w
- Analysis of ansys fluent for Wall-Modeled Large-Eddy Simulation of Turbulent Channel Flow W. Li & M. Giometto https://doi.org/10.1115/1.4066485
- Potential of module arrangements to enhance convective cooling in solar photovoltaic arrays B. Stanislawski et al. https://doi.org/10.1016/j.renene.2020.04.049
- On the suitability of second-order accurate finite-volume solvers for the simulation of atmospheric boundary layer flow B. Giacomini & M. Giometto https://doi.org/10.5194/gmd-14-1409-2021
17 citations as recorded by crossref.
- Mean flow and turbulence in unsteady canopy layers W. Li & M. Giometto https://doi.org/10.1017/jfm.2023.801
- BoundaryLayerDynamics.jl v1.0: a modern codebase for atmospheric boundary-layer simulations M. Schmid et al. https://doi.org/10.5194/gmd-17-321-2024
- Logarithmic-Linear Law of the Streamwise Velocity Variance in Stably Stratified Boundary Layers X. Yang et al. https://doi.org/10.1007/s10546-021-00683-5
- Incorporating the effect of heterogeneous surface heating into a semi-empirical model of the surface energy balance closure L. Wanner et al. https://doi.org/10.1371/journal.pone.0268097
- The structure of turbulence in unsteady flow over urban canopies W. Li & M. Giometto https://doi.org/10.1017/jfm.2023.974
- The dynamics of concentration fluctuations within passive scalar plumes in a turbulent neutral boundary layer M. Cassiani et al. https://doi.org/10.1017/jfm.2024.861
- An improved dealiasing scheme for the fourth‐order Runge‐Kutta method: Formulation, accuracy and efficiency analysis A. Sinhababu & S. Ayyalasomayajula https://doi.org/10.1002/fld.4898
- Impact of the numerical domain on turbulent flow statistics: scalings and considerations for canopy flows A. Sathe & M. Giometto https://doi.org/10.1017/jfm.2023.1041
- Pattern formation in a coupled driven diffusive system G. Freire Oliveira et al. https://doi.org/10.1103/23pw-x6sd
- 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
- Reducing data-driven dynamical subgrid scale models by physical constraints W. Edeling & D. Crommelin https://doi.org/10.1016/j.compfluid.2020.104470
- Surface Thermal Heterogeneities and the Atmospheric Boundary Layer: The Thermal Heterogeneity Parameter F. Margairaz et al. https://doi.org/10.1007/s10546-020-00544-7
- On the structure and dynamics of secondary flows over multicolumn roughness in channel flow A. Sathe et al. https://doi.org/10.1017/jfm.2025.10965
- Surface Thermal Heterogeneities and the Atmospheric Boundary Layer: The Relevance of Dispersive Fluxes F. Margairaz et al. https://doi.org/10.1007/s10546-020-00509-w
- Analysis of ansys fluent for Wall-Modeled Large-Eddy Simulation of Turbulent Channel Flow W. Li & M. Giometto https://doi.org/10.1115/1.4066485
- Potential of module arrangements to enhance convective cooling in solar photovoltaic arrays B. Stanislawski et al. https://doi.org/10.1016/j.renene.2020.04.049
- On the suitability of second-order accurate finite-volume solvers for the simulation of atmospheric boundary layer flow B. Giacomini & M. Giometto https://doi.org/10.5194/gmd-14-1409-2021
Saved (final revised paper)
Latest update: 22 Sep 2026
Short summary
In this project, we compare three different approaches to integrate the fluid-motion equations when applied to solve atmospheric flow dynamics. Differences between the three methods reside in accuracy as well as computational cost. The results illustrate that there is an intermediate solution that performs well in terms of computational cost while at the same time producing good enough results, as long one is not interested in the smallest turbulent scales.
In this project, we compare three different approaches to integrate the fluid-motion equations...