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

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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.
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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.
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