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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- The Perdigão: Peering into Microscale Details of Mountain Winds H. Fernando et al. 10.1175/BAMS-D-17-0227.1
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- 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
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- 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
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- Observations of tall-building wakes using a scanning Doppler lidar N. Theeuwes et al. 10.5194/amt-18-1355-2025
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- 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
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- Characterization of flow recirculation zones at the Perdigão site using multi-lidar measurements R. Menke et al. 10.5194/acp-19-2713-2019
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- Recommendations for In Situ and Remote Sensing Capabilities in Atmospheric Convection and Turbulence B. Geerts et al. 10.1175/BAMS-D-17-0310.1
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- Impact of local meteorology on wake characteristics at Perdigão R. Barthelmie & S. Pryor 10.1088/1742-6596/1256/1/012007
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- Analysis of the wind response to resolved versus parametrized turbulent orographic drag in high‐resolution simulations J. Quimbayo‐Duarte et al. 10.1002/qj.4977
- Effect of different source terms and inflow direction in atmospheric boundary modeling over the complex terrain site of Perdigão K. Venkatraman et al. 10.5194/wes-8-85-2023
- Improved wind-power extraction downstream of a 3D hill using a tilted actuator disk K. Steiros et al. 10.1063/5.0280650
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Latest update: 04 Nov 2025
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...
