Articles | Volume 19, issue 7
https://doi.org/10.5194/acp-19-4367-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-4367-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Apr 2019
Research article |
| 04 Apr 2019
| 04 Apr 2019
Spatial and temporal variability of turbulence dissipation rate in complex terrain
Nicola Bodini
CORRESPONDING AUTHOR
Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, Colorado, USA
Julie K. Lundquist
Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, Colorado, USA
National Renewable Energy Laboratory, Golden, Colorado, USA
Raghavendra Krishnamurthy
University of Notre Dame, Notre Dame, Indiana, USA
Mikhail Pekour
Pacific Northwest National Laboratory, Richland, Washington, USA
Larry K. Berg
Pacific Northwest National Laboratory, Richland, Washington, USA
Aditya Choukulkar
Cooperative Institute for Research in Environmental Sciences, Boulder, Colorado, USA
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Cited
23 citations as recorded by crossref.
- Effect of wind veer on wind turbine power generation L. Gao et al. 10.1063/5.0033826
- Characteristics of the derived energy dissipation rate using the 1 Hz commercial aircraft quick access recorder (QAR) data S. Kim et al. 10.5194/amt-15-2277-2022
- Year-long buoy-based observations of the air–sea transition zone off the US west coast R. Krishnamurthy et al. 10.5194/essd-15-5667-2023
- Stability Dependence of the Turbulent Dissipation Rate in the Convective Atmospheric Boundary Layer Y. Lv et al. 10.1029/2023GL103326
- Estimation of turbulence dissipation rate from Doppler wind lidars and in situ instrumentation for the Perdigão 2017 campaign N. Wildmann et al. 10.5194/amt-12-6401-2019
- Decreasing wind speed extrapolation error via domain-specific feature extraction and selection D. Vassallo et al. 10.5194/wes-5-959-2020
- Turbulence dissipation rate estimated from lidar observations during the LAPSE-RATE field campaign M. Sanchez Gomez et al. 10.5194/essd-13-3539-2021
- Rainfall Microphysics Influenced by Strong Wind during a Tornadic Storm A. Bolek & F. Testik 10.1175/JHM-D-21-0004.1
- Subgrid Variability of Atmospheric Surface-Layer Parameters in Complex Terrain S. Otarola Bustos et al. 10.1007/s10546-023-00797-y
- Can machine learning improve the model representation of turbulent kinetic energy dissipation rate in the boundary layer for complex terrain? N. Bodini et al. 10.5194/gmd-13-4271-2020
- An investigation of the effect of stratification stability and saltation sand flux on the anisotropy of atmospheric surface layer wall turbulence A. Mei et al. 10.1063/5.0193821
- How wind speed shear and directional veer affect the power production of a megawatt-scale operational wind turbine P. Murphy et al. 10.5194/wes-5-1169-2020
- Atmospheric diffusion profiles and health risks of typical VOC: Numerical modelling study T. Zhang et al. 10.1016/j.jclepro.2020.122982
- Influence of atmospheric stability on wind farm performance in complex terrain W. Radünz et al. 10.1016/j.apenergy.2020.116149
- Eddy dissipation rates in the dryline boundary layer R. Solanki et al. 10.1007/s10652-023-09954-w
- U.S. East Coast Lidar Measurements Show Offshore Wind Turbines Will Encounter Very Low Atmospheric Turbulence N. Bodini et al. 10.1029/2019GL082636
- Characteristics of Energy Dissipation Rate Observed from the High-Frequency Sonic Anemometer at Boseong, South Korea J. Kim et al. 10.3390/atmos12070837
- Caracterização do perfil vertical do vento em Iperó (São Paulo) com o uso de um lidar doppler C. Leme Beu & E. Landulfo 10.55761/abclima.v30i18.15582
- Rainfall Effects on Atmospheric Turbulence and Near-Surface Similarities in the Stable Boundary Layer A. Bolek & F. Testik 10.1007/s10546-024-00873-x
- Mountain waves can impact wind power generation C. Draxl et al. 10.5194/wes-6-45-2021
- Model Evaluation by Measurements from Collocated Remote Sensors in Complex Terrain Y. Pichugina et al. 10.1175/WAF-D-21-0214.1
- Remote-sensing and radiosonde datasets collected in the San Luis Valley during the LAPSE-RATE campaign T. Bell et al. 10.5194/essd-13-1041-2021
- Behavior and mechanisms of Doppler wind lidar error in varying stability regimes R. Robey & J. Lundquist 10.5194/amt-15-4585-2022
23 citations as recorded by crossref.
- Effect of wind veer on wind turbine power generation L. Gao et al. 10.1063/5.0033826
- Characteristics of the derived energy dissipation rate using the 1 Hz commercial aircraft quick access recorder (QAR) data S. Kim et al. 10.5194/amt-15-2277-2022
- Year-long buoy-based observations of the air–sea transition zone off the US west coast R. Krishnamurthy et al. 10.5194/essd-15-5667-2023
- Stability Dependence of the Turbulent Dissipation Rate in the Convective Atmospheric Boundary Layer Y. Lv et al. 10.1029/2023GL103326
- Estimation of turbulence dissipation rate from Doppler wind lidars and in situ instrumentation for the Perdigão 2017 campaign N. Wildmann et al. 10.5194/amt-12-6401-2019
- Decreasing wind speed extrapolation error via domain-specific feature extraction and selection D. Vassallo et al. 10.5194/wes-5-959-2020
- Turbulence dissipation rate estimated from lidar observations during the LAPSE-RATE field campaign M. Sanchez Gomez et al. 10.5194/essd-13-3539-2021
- Rainfall Microphysics Influenced by Strong Wind during a Tornadic Storm A. Bolek & F. Testik 10.1175/JHM-D-21-0004.1
- Subgrid Variability of Atmospheric Surface-Layer Parameters in Complex Terrain S. Otarola Bustos et al. 10.1007/s10546-023-00797-y
- Can machine learning improve the model representation of turbulent kinetic energy dissipation rate in the boundary layer for complex terrain? N. Bodini et al. 10.5194/gmd-13-4271-2020
- An investigation of the effect of stratification stability and saltation sand flux on the anisotropy of atmospheric surface layer wall turbulence A. Mei et al. 10.1063/5.0193821
- How wind speed shear and directional veer affect the power production of a megawatt-scale operational wind turbine P. Murphy et al. 10.5194/wes-5-1169-2020
- Atmospheric diffusion profiles and health risks of typical VOC: Numerical modelling study T. Zhang et al. 10.1016/j.jclepro.2020.122982
- Influence of atmospheric stability on wind farm performance in complex terrain W. Radünz et al. 10.1016/j.apenergy.2020.116149
- Eddy dissipation rates in the dryline boundary layer R. Solanki et al. 10.1007/s10652-023-09954-w
- U.S. East Coast Lidar Measurements Show Offshore Wind Turbines Will Encounter Very Low Atmospheric Turbulence N. Bodini et al. 10.1029/2019GL082636
- Characteristics of Energy Dissipation Rate Observed from the High-Frequency Sonic Anemometer at Boseong, South Korea J. Kim et al. 10.3390/atmos12070837
- Caracterização do perfil vertical do vento em Iperó (São Paulo) com o uso de um lidar doppler C. Leme Beu & E. Landulfo 10.55761/abclima.v30i18.15582
- Rainfall Effects on Atmospheric Turbulence and Near-Surface Similarities in the Stable Boundary Layer A. Bolek & F. Testik 10.1007/s10546-024-00873-x
- Mountain waves can impact wind power generation C. Draxl et al. 10.5194/wes-6-45-2021
- Model Evaluation by Measurements from Collocated Remote Sensors in Complex Terrain Y. Pichugina et al. 10.1175/WAF-D-21-0214.1
- Remote-sensing and radiosonde datasets collected in the San Luis Valley during the LAPSE-RATE campaign T. Bell et al. 10.5194/essd-13-1041-2021
- Behavior and mechanisms of Doppler wind lidar error in varying stability regimes R. Robey & J. Lundquist 10.5194/amt-15-4585-2022
Latest update: 14 Dec 2024
Short summary
To improve the parameterization of the turbulence dissipation rate (ε) in numerical weather prediction models, we have assessed its temporal and spatial variability at various scales in the Columbia River Gorge during the WFIP2 field experiment. The turbulence dissipation rate shows large spatial variability, even at the microscale, with larger values in sites located downwind of complex orographic structures or in wind farm wakes. Distinct diurnal and seasonal cycles in ε have also been found.
To improve the parameterization of the turbulence dissipation rate (ε) in numerical weather...
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