Articles | Volume 10, issue 9
https://doi.org/10.5194/amt-10-3463-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-10-3463-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Sep 2017
Research article |
| 21 Sep 2017
Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments
DTU Wind Energy, Technical University of Denmark,
Frederiksborgvej 399, Building 118-VEA, 4000 Roskilde, Denmark
José M. L. M. Palma
Faculty of Engineering of the University of Porto, Rua Dr. Roberto
Frias, 4200-465 Porto, Portugal
Nikolas Angelou
DTU Wind Energy, Technical University of Denmark,
Frederiksborgvej 399, Building 118-VEA, 4000 Roskilde, Denmark
José Carlos Matos
Institute of Science and
Innovation in Mechanical and Industrial Engineering, Rua Dr. Roberto
Frias,
4200-465 Porto, Portugal
Robert Menke
DTU Wind Energy, Technical University of Denmark,
Frederiksborgvej 399, Building 118-VEA, 4000 Roskilde, Denmark
Guillaume Lea
DTU Wind Energy, Technical University of Denmark,
Frederiksborgvej 399, Building 118-VEA, 4000 Roskilde, Denmark
Jakob Mann
DTU Wind Energy, Technical University of Denmark,
Frederiksborgvej 399, Building 118-VEA, 4000 Roskilde, Denmark
Michael Courtney
DTU Wind Energy, Technical University of Denmark,
Frederiksborgvej 399, Building 118-VEA, 4000 Roskilde, Denmark
Luis Frölen Ribeiro
Institute of Science and
Innovation in Mechanical and Industrial Engineering, Rua Dr. Roberto
Frias,
4200-465 Porto, Portugal
Polytechnic Institute of Bragança,
Campus de Santa Apolónia, 5300-253 Bragança, Portugal
Vitor M. M. G. C. Gomes
Faculty of Engineering of the University of Porto, Rua Dr. Roberto
Frias, 4200-465 Porto, Portugal
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- Experimental Study on Wake Evolution of a 1.5 MW Wind Turbine in a Complex Terrain Wind Farm Based on LiDAR Measurements F. Zhao et al. 10.3390/su12062467
- New European Wind Atlas: The Østerild balconies experiment I. Karagali et al. 10.1088/1742-6596/1037/5/052029
- Automated wind turbine wake characterization in complex terrain R. Barthelmie & S. Pryor 10.5194/amt-12-3463-2019
- Does the wind turbine wake follow the topography? A multi-lidar study in complex terrain R. Menke et al. 10.5194/wes-3-681-2018
- Analysis of flow in complex terrain using multi-Doppler lidar retrievals T. Bell et al. 10.5194/amt-13-1357-2020
- Short-Term Wind Power Forecasting at the Wind Farm Scale Using Long-Range Doppler LiDAR M. Pichault et al. 10.3390/en14092663
- Comparison of Weibull Estimation Methods for Diverse Winds F. Bingöl 10.1155/2020/3638423
- The Perdigão: Peering into Microscale Details of Mountain Winds H. Fernando et al. 10.1175/BAMS-D-17-0227.1
- Multi-lidar wind resource mapping in complex terrain R. Menke et al. 10.5194/wes-5-1059-2020
- A Review of Progress and Applications of Pulsed Doppler Wind LiDARs Z. Liu et al. 10.3390/rs11212522
- Future emerging technologies in the wind power sector: A European perspective S. Watson et al. 10.1016/j.rser.2019.109270
- Boundary-Layer Flow Over Complex Topography J. Finnigan et al. 10.1007/s10546-020-00564-3
- Urban Atmospheric Boundary-Layer Structure in Complex Topography: An Empirical 3D Case Study for Stuttgart, Germany M. Zeeman et al. 10.3389/feart.2022.840112
- IEA Wind Task 32: Wind Lidar Identifying and Mitigating Barriers to the Adoption of Wind Lidar A. Clifton et al. 10.3390/rs10030406
- Wind turbine wake characterization in complex terrain via integrated Doppler lidar data from the Perdigão experiment R. Barthelmie et al. 10.1088/1742-6596/1037/5/052022
- LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics – Part 2: Applications to lidar measurements of wind turbine wakes S. Letizia et al. 10.5194/amt-14-2095-2021
- Long-lived high-frequency gravity waves in the atmospheric boundary layer: observations and simulations M. Jia et al. 10.5194/acp-19-15431-2019
- Suppression of precipitation bias in wind velocities from continuous-wave Doppler lidars L. Jin et al. 10.5194/amt-16-6007-2023
- Comparing scanning lidar configurations for wake measurements based on the reduction of associated measurement uncertainties L. Hung et al. 10.1088/1742-6596/2505/1/012031
- Inter-comparison study of wind measurement between the three-lidar-based virtual tower and four lidars using VAD techniques X. Liu et al. 10.1080/10095020.2024.2307930
- On the Use of Dual-Doppler Radar Measurements for Very Short-Term Wind Power Forecasts L. Valldecabres et al. 10.3390/rs10111701
- Wind turbine wake measurements with automatically adjusting scanning trajectories in a multi-Doppler lidar setup N. Wildmann et al. 10.5194/amt-11-3801-2018
- Method for airborne measurement of the spatial wind speed distribution above complex terrain C. Ingenhorst et al. 10.5194/wes-6-427-2021
- Minute-Scale Forecasting of Wind Power—Results from the Collaborative Workshop of IEA Wind Task 32 and 36 I. Würth et al. 10.3390/en12040712
- A review of full-scale wind-field measurements of the wind-turbine wake effect and a measurement of the wake-interaction effect H. Sun et al. 10.1016/j.rser.2020.110042
- The Effects of the Width of an Isolated Valley on Near-Surface Turbulence S. Freitas et al. 10.3390/atmos12101330
- The Challenges of Micro-Nowcasting and the Women’s Slope Style Event at the PyeongChang 2018 Olympic Winter Games P. Joe et al. 10.3390/meteorology2010008
- Reducing the Uncertainty of Lidar Measurements in Complex Terrain Using a Linear Model Approach M. Hofsäß et al. 10.3390/rs10091465
- On the self-similarity of wind turbine wakes in a complex terrain using large eddy simulation A. Dar et al. 10.5194/wes-4-633-2019
- Validations of three-dimensional wake models with the wind field measurements in complex terrain H. Sun et al. 10.1016/j.energy.2019.116213
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- 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
- Recommendations for In Situ and Remote Sensing Capabilities in Atmospheric Convection and Turbulence B. Geerts et al. 10.1175/BAMS-D-17-0310.1
- Wind turbine load validation using lidar‐based wind retrievals N. Dimitrov et al. 10.1002/we.2385
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- The Alaiz experiment: untangling multi-scale stratified flows over complex terrain P. Santos et al. 10.5194/wes-5-1793-2020
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- Wind sensing with drone-mounted wind lidars: proof of concept N. Vasiljević et al. 10.5194/amt-13-521-2020
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- Experimental study on wind speeds in a complex-terrain wind farm and analysis of wake effects H. Sun et al. 10.1016/j.apenergy.2020.115215
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- Digitalization of scanning lidar measurement campaign planning N. Vasiljević et al. 10.5194/wes-5-73-2020
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Latest update: 19 Apr 2024
Short summary
In this paper we present a methodology for atmospheric multi-Doppler lidar experiments accompanied with the description and results from the Perdigão-2015 experiment, where the methodology was demonstrated. To our knowledge, this is the first time that steps leading to the acquisition of high-quality datasets from field studies are described and systematically defined and organized.
In this paper we present a methodology for atmospheric multi-Doppler lidar experiments...
