Articles | Volume 19, issue 6
https://doi.org/10.5194/acp-19-3797-2019
© 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-19-3797-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Mar 2019
Research article |
| 25 Mar 2019
| 25 Mar 2019
Characterizing wind gusts in complex terrain
Department of Earth and Atmospheric Sciences, Cornell University,
Ithaca, New York, USA
Sibley School of Mechanical and Aerospace Engineering, Cornell
University, Ithaca, New York, USA
Rebecca J. Barthelmie
Sibley School of Mechanical and Aerospace Engineering, Cornell
University, Ithaca, New York, USA
Weifei Hu
Department of Earth and Atmospheric Sciences, Cornell University,
Ithaca, New York, USA
Sibley School of Mechanical and Aerospace Engineering, Cornell
University, Ithaca, New York, USA
Department of Earth and Atmospheric Sciences, Cornell University,
Ithaca, New York, USA
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Cited
23 citations as recorded by crossref.
- Reduction of wind-turbine-generated seismic noise with structural measures R. Abreu et al. 10.5194/wes-7-1227-2022
- First characterization of a new perturbation system for gust generation: the chopper I. Neunaber & C. Braud 10.5194/wes-5-759-2020
- Characteristics of wind speed during rainfall event in the tropical urban city H. Swarno et al. 10.1016/j.uclim.2020.100620
- Seismic Noise Induced by Wind Turbine Operation and Wind Gusts W. Hu et al. 10.1785/0220190095
- Atmospheric diffusion profiles and health risks of typical VOC: Numerical modelling study T. Zhang et al. 10.1016/j.jclepro.2020.122982
- Analysis of vehicle stability loss due to strong crosswind gusts using web services in the route planning process I. Betkier et al. 10.5604/01.3001.0014.0207
- Impact of local meteorology on wake characteristics at Perdigão R. Barthelmie & S. Pryor 10.1088/1742-6596/1256/1/012007
- Fast-response hot-wire flow sensors for wind and gust estimation on UAVs N. Simon et al. 10.1088/1361-6501/ac9f5c
- Characterization of Wind Gusts: A Study Based on Meteorological Tower Observations B. Yan et al. 10.3390/app12042105
- The Influence of Slopes of Isolated Three-Dimensional Valleys on Near-Surface Turbulence S. Freitas et al. 10.1007/s10546-021-00648-8
- The COTUR project: remote sensing of offshore turbulence for wind energy application E. Cheynet et al. 10.5194/amt-14-6137-2021
- Assessing wind gust characteristics at wind turbine relevant height Z. Shu et al. 10.1063/5.0053077
- Short‐Term Forecasting of Wind Gusts at Airports Across CONUS Using Machine Learning J. Coburn et al. 10.1029/2022EA002486
- Power and Wind Shear Implications of Large Wind Turbine Scenarios in the US Central Plains R. Barthelmie et al. 10.3390/en13164269
- Comparison of Spring Wind Gusts in the Eastern Part of the Tibetan Plateau and along the Coast: The Role of Turbulence X. Zhou et al. 10.3390/rs15143655
- Impact of deep basin terrain on PM2.5 distribution and its seasonality over the Sichuan Basin, Southwest China Z. Shu et al. 10.1016/j.envpol.2022.118944
- Automated wind turbine wake characterization in complex terrain R. Barthelmie & S. Pryor 10.5194/amt-12-3463-2019
- Effect of large topography on atmospheric environment in Sichuan Basin: A climate analysis based on changes in atmospheric visibility L. Zhang et al. 10.3389/feart.2022.997586
- Application of multi-taper S-transform method in wind coherence estimation W. Xie et al. 10.1016/j.jweia.2022.104931
- Do Machine Learning Approaches Offer Skill Improvement for Short-Term Forecasting of Wind Gust Occurrence and Magnitude? J. Coburn & S. Pryor 10.1175/WAF-D-21-0118.1
- Wind Gust Parameters in the Lower Troposphere Based on Doppler Lidar Data X. Zhou et al. 10.1029/2022JD038156
- A Two-Day Case Study: Comparison of Turbulence Data from an Unmanned Aircraft System with a Model Chain for Complex Terrain K. zum Berge et al. 10.1007/s10546-021-00608-2
- Numerical Simulation of the Effect of a Single Gust on the Flow Past a Square Cylinder M. Kotsiopoulou & D. Bouris 10.3390/fluids7090303
23 citations as recorded by crossref.
- Reduction of wind-turbine-generated seismic noise with structural measures R. Abreu et al. 10.5194/wes-7-1227-2022
- First characterization of a new perturbation system for gust generation: the chopper I. Neunaber & C. Braud 10.5194/wes-5-759-2020
- Characteristics of wind speed during rainfall event in the tropical urban city H. Swarno et al. 10.1016/j.uclim.2020.100620
- Seismic Noise Induced by Wind Turbine Operation and Wind Gusts W. Hu et al. 10.1785/0220190095
- Atmospheric diffusion profiles and health risks of typical VOC: Numerical modelling study T. Zhang et al. 10.1016/j.jclepro.2020.122982
- Analysis of vehicle stability loss due to strong crosswind gusts using web services in the route planning process I. Betkier et al. 10.5604/01.3001.0014.0207
- Impact of local meteorology on wake characteristics at Perdigão R. Barthelmie & S. Pryor 10.1088/1742-6596/1256/1/012007
- Fast-response hot-wire flow sensors for wind and gust estimation on UAVs N. Simon et al. 10.1088/1361-6501/ac9f5c
- Characterization of Wind Gusts: A Study Based on Meteorological Tower Observations B. Yan et al. 10.3390/app12042105
- The Influence of Slopes of Isolated Three-Dimensional Valleys on Near-Surface Turbulence S. Freitas et al. 10.1007/s10546-021-00648-8
- The COTUR project: remote sensing of offshore turbulence for wind energy application E. Cheynet et al. 10.5194/amt-14-6137-2021
- Assessing wind gust characteristics at wind turbine relevant height Z. Shu et al. 10.1063/5.0053077
- Short‐Term Forecasting of Wind Gusts at Airports Across CONUS Using Machine Learning J. Coburn et al. 10.1029/2022EA002486
- Power and Wind Shear Implications of Large Wind Turbine Scenarios in the US Central Plains R. Barthelmie et al. 10.3390/en13164269
- Comparison of Spring Wind Gusts in the Eastern Part of the Tibetan Plateau and along the Coast: The Role of Turbulence X. Zhou et al. 10.3390/rs15143655
- Impact of deep basin terrain on PM2.5 distribution and its seasonality over the Sichuan Basin, Southwest China Z. Shu et al. 10.1016/j.envpol.2022.118944
- Automated wind turbine wake characterization in complex terrain R. Barthelmie & S. Pryor 10.5194/amt-12-3463-2019
- Effect of large topography on atmospheric environment in Sichuan Basin: A climate analysis based on changes in atmospheric visibility L. Zhang et al. 10.3389/feart.2022.997586
- Application of multi-taper S-transform method in wind coherence estimation W. Xie et al. 10.1016/j.jweia.2022.104931
- Do Machine Learning Approaches Offer Skill Improvement for Short-Term Forecasting of Wind Gust Occurrence and Magnitude? J. Coburn & S. Pryor 10.1175/WAF-D-21-0118.1
- Wind Gust Parameters in the Lower Troposphere Based on Doppler Lidar Data X. Zhou et al. 10.1029/2022JD038156
- A Two-Day Case Study: Comparison of Turbulence Data from an Unmanned Aircraft System with a Model Chain for Complex Terrain K. zum Berge et al. 10.1007/s10546-021-00608-2
- Numerical Simulation of the Effect of a Single Gust on the Flow Past a Square Cylinder M. Kotsiopoulou & D. Bouris 10.3390/fluids7090303
Latest update: 14 Dec 2024
Short summary
Wind gusts are a key driver of aerodynamic loading, and common approximations used to describe wind gust behavior may not be appropriate in complex terrain at heights relevant to wind turbines and other structures. High-resolution observations from sonic anemometers and vertically pointing Doppler lidars collected in the Perdigão experiment are analyzed to provide a foundation for improved wind gust characterization in complex terrain.
Wind gusts are a key driver of aerodynamic loading, and common approximations used to describe...
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