Articles | Volume 5, issue 4
https://doi.org/10.5194/wes-5-1469-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-5-1469-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The digital terrain model in the computational modelling of the flow over the Perdigão site: the appropriate grid size
Faculty of Engineering of the University of Porto (FEUP), Mechanical Engineering Department, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal
Carlos A. M. Silva
Faculty of Engineering of the University of Porto (FEUP), Mechanical Engineering Department, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal
Vítor C. Gomes
Faculty of Engineering of the University of Porto (FEUP), Mechanical Engineering Department, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal
Alexandre Silva Lopes
Faculty of Engineering of the University of Porto (FEUP), Mechanical Engineering Department, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal
Teresa Simões
National Laboratory of Energy and Geology (LNEG), Estrada da Portela, Bairro do Zambujal, Apartado 7586, Alfragide, 2610-999 Amadora, Portugal
Paula Costa
National Laboratory of Energy and Geology (LNEG), Estrada da Portela, Bairro do Zambujal, Apartado 7586, Alfragide, 2610-999 Amadora, Portugal
Vasco T. P. Batista
Faculty of Engineering of the University of Porto (FEUP), Mechanical Engineering Department, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal
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Cited
15 citations as recorded by crossref.
- Revealing the Drivers of Turbulence Anisotropy over Flat and Complex Terrain: An Interpretable Machine Learning Approach S. Mosso et al.
- Deploying Taller Turbines in Complex Terrain: A Hill Flow Study (HilFlowS) Perspective S. Wharton & K. Foster
- One-year-long turbulence measurements and modeling using large-eddy simulation domains in the Weather Research and Forecasting model A. Peña & J. Mirocha
- The wind farm as a sensor: learning and explaining orographic and plant-induced flow heterogeneities from operational data R. Braunbehrens et al.
- Meso- to microscale modeling of atmospheric stability effects on wind turbine wake behavior in complex terrain A. Wise et al.
- Impact of the wind field at the complex-terrain site Perdigão on the surface pressure fluctuations of a wind turbine F. Wenz et al.
- Effect of different source terms and inflow direction in atmospheric boundary modeling over the complex terrain site of Perdigão K. Venkatraman et al.
- Characterizing atmospheric stability in complex terrain N. Agarwal & J. Lundquist
- Evaluation of the Sensitivity of PBL and SGS Treatments in Different Flow Fields Using the WRF-LES at Perdigão E. Yılmaz et al.
- Three-dimensionally consistent contour-based network rendered from digital terrain model data H. Goto
- WindsPT e-Science platform for wind measurement campaigns D. Gomes et al.
- Predicting terrain-induced wind turbulence for smokejumper parachute operations N. Wagenbrenner et al.
- Synoptic and mesoscale winds in the complex terrain of Perdigão I. Coimbra & J. Palma
- Exploring dual-lidar mean and turbulence measurements over Perdigão's complex terrain I. Coimbra et al.
- Multi-scale modeling of a wind turbine wake in complex terrain B. Kale et al.
15 citations as recorded by crossref.
- Revealing the Drivers of Turbulence Anisotropy over Flat and Complex Terrain: An Interpretable Machine Learning Approach S. Mosso et al.
- Deploying Taller Turbines in Complex Terrain: A Hill Flow Study (HilFlowS) Perspective S. Wharton & K. Foster
- One-year-long turbulence measurements and modeling using large-eddy simulation domains in the Weather Research and Forecasting model A. Peña & J. Mirocha
- The wind farm as a sensor: learning and explaining orographic and plant-induced flow heterogeneities from operational data R. Braunbehrens et al.
- Meso- to microscale modeling of atmospheric stability effects on wind turbine wake behavior in complex terrain A. Wise et al.
- Impact of the wind field at the complex-terrain site Perdigão on the surface pressure fluctuations of a wind turbine F. Wenz et al.
- Effect of different source terms and inflow direction in atmospheric boundary modeling over the complex terrain site of Perdigão K. Venkatraman et al.
- Characterizing atmospheric stability in complex terrain N. Agarwal & J. Lundquist
- Evaluation of the Sensitivity of PBL and SGS Treatments in Different Flow Fields Using the WRF-LES at Perdigão E. Yılmaz et al.
- Three-dimensionally consistent contour-based network rendered from digital terrain model data H. Goto
- WindsPT e-Science platform for wind measurement campaigns D. Gomes et al.
- Predicting terrain-induced wind turbulence for smokejumper parachute operations N. Wagenbrenner et al.
- Synoptic and mesoscale winds in the complex terrain of Perdigão I. Coimbra & J. Palma
- Exploring dual-lidar mean and turbulence measurements over Perdigão's complex terrain I. Coimbra et al.
- Multi-scale modeling of a wind turbine wake in complex terrain B. Kale et al.
Saved (final revised paper)
Latest update: 11 May 2026
Short summary
The digital terrain model is the first input in the computational modelling of atmospheric flows. The ability of thee meshes (high-, medium- and low-resolution) to replicate the Perdigão experiment site was appraised in two ways: by their ability to replicate the terrain attributes, elevation and slope and by their effect on the wind flow computational results. At least 40 m horizontal resolution is required in computational modelling of the flow over Perdigão.
The digital terrain model is the first input in the computational modelling of atmospheric...
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