Articles | Volume 10, issue 9
https://doi.org/10.5194/amt-10-3463-2017
https://doi.org/10.5194/amt-10-3463-2017
Research article
 | 
21 Sep 2017
Research article |  | 21 Sep 2017

Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments

Nikola Vasiljević, José M. L. M. Palma, Nikolas Angelou, José Carlos Matos, Robert Menke, Guillaume Lea, Jakob Mann, Michael Courtney, Luis Frölen Ribeiro, and Vitor M. M. G. C. Gomes

Related authors

The Alaiz experiment: untangling multi-scale stratified flows over complex terrain
Pedro Santos, Jakob Mann, Nikola Vasiljević, Elena Cantero, Javier Sanz Rodrigo, Fernando Borbón, Daniel Martínez-Villagrasa, Belén Martí, and Joan Cuxart
Wind Energ. Sci., 5, 1793–1810, https://doi.org/10.5194/wes-5-1793-2020,https://doi.org/10.5194/wes-5-1793-2020, 2020
Short summary
Multi-lidar wind resource mapping in complex terrain
Robert Menke, Nikola Vasiljević, Johannes Wagner, Steven P. Oncley, and Jakob Mann
Wind Energ. Sci., 5, 1059–1073, https://doi.org/10.5194/wes-5-1059-2020,https://doi.org/10.5194/wes-5-1059-2020, 2020
Short summary
Uncertainty model for dual-Doppler retrievals of wind speed and wind direction
Nikola Vasiljević, Michael Courtney, and Anders Tegtmeier Pedersen
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-321,https://doi.org/10.5194/amt-2020-321, 2020
Publication in AMT not foreseen
Short summary
Wind sensing with drone-mounted wind lidars: proof of concept
Nikola Vasiljević, Michael Harris, Anders Tegtmeier Pedersen, Gunhild Rolighed Thorsen, Mark Pitter, Jane Harris, Kieran Bajpai, and Michael Courtney
Atmos. Meas. Tech., 13, 521–536, https://doi.org/10.5194/amt-13-521-2020,https://doi.org/10.5194/amt-13-521-2020, 2020
Short summary
Digitalization of scanning lidar measurement campaign planning
Nikola Vasiljević, Andrea Vignaroli, Andreas Bechmann, and Rozenn Wagner
Wind Energ. Sci., 5, 73–87, https://doi.org/10.5194/wes-5-73-2020,https://doi.org/10.5194/wes-5-73-2020, 2020
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Instruments and Platforms
Optimization of a direct-detection UV wind lidar architecture for 3D wind reconstruction at high altitude
Thibault Boulant, Tomline Michel, and Matthieu Valla
Atmos. Meas. Tech., 17, 7049–7064, https://doi.org/10.5194/amt-17-7049-2024,https://doi.org/10.5194/amt-17-7049-2024, 2024
Short summary
The GRAS-2 radio occultation mission
Joel Rasch, Anders Carlström, Jacob Christensen, and Thomas Liljegren
Atmos. Meas. Tech., 17, 6213–6222, https://doi.org/10.5194/amt-17-6213-2024,https://doi.org/10.5194/amt-17-6213-2024, 2024
Short summary
The ALOMAR Rayleigh/Mie/Raman lidar: status after 30 years of operation
Jens Fiedler and Gerd Baumgarten
Atmos. Meas. Tech., 17, 5841–5859, https://doi.org/10.5194/amt-17-5841-2024,https://doi.org/10.5194/amt-17-5841-2024, 2024
Short summary
Chilean Observation Network De MeteOr Radars (CONDOR): Multi-Static System Configuration & Wind Comparison with Co-located Lidar
Zishun Qiao, Alan Z. Liu, Gunter Stober, Javier Fuentes, Fabio Vargas, Christian L. Adami, and Iain M. Reid
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-126,https://doi.org/10.5194/amt-2024-126, 2024
Revised manuscript accepted for AMT
Short summary
The Far-INfrarEd Spectrometer for Surface Emissivity (FINESSE) – Part 1: Instrument description and level 1 radiances
Jonathan E. Murray, Laura Warwick, Helen Brindley, Alan Last, Patrick Quigley, Andy Rochester, Alexander Dewar, and Daniel Cummins
Atmos. Meas. Tech., 17, 4757–4775, https://doi.org/10.5194/amt-17-4757-2024,https://doi.org/10.5194/amt-17-4757-2024, 2024
Short summary

Cited articles

Berg, J., Vasiljević, N., Kelly, M., Lea, G., and Courtney, M.: Addressing Spatial Variability of Surface-Layer Wind with Long-Range WindScanners, J. Atmos. Ocean. Tech., 32, 518–527, https://doi.org/10.1175/JTECH-D-14-00123.1, 2015.
Bingöl, F., Mann, J., and Foussekis, D.: Conically scanning lidar error in complex terrain, Meteorol. Z., 18, 189–195, 2009.
Browning, K. A. and Wexler, R.: The Determination of Kinematic Properties of a Wind Field Using Doppler Radar, J. Appl. Meteorol., 7, 105–113, 1968.
Cariou, J.-P. and Boquet, M.: Leosphere Pulsed Lidar Principles, Tech. rep., UpWind, 2011.
Castro, F. A., Palma, J. M. L. M., and Lopes, A. S.: Simulation of the Askervein Flow. Part 1: Reynolds Averaged Navier-Stokes Equations (k − ε Turbulence Model), Bound.-Lay. Meteorol., 107, 501–530, https://doi.org/10.1023/A:1022818327584, 2003.
Download
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.