Articles | Volume 5, issue 4
https://doi.org/10.5194/wes-5-1793-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-5-1793-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Dec 2020
Research article |
| 23 Dec 2020
| 23 Dec 2020
The Alaiz experiment: untangling multi-scale stratified flows over complex terrain
DTU Wind Energy, Technical University of Denmark, Risø Campus, Roskilde, Denmark
DTU Wind Energy, Technical University of Denmark, Risø Campus, Roskilde, Denmark
Nikola Vasiljević
DTU Wind Energy, Technical University of Denmark, Risø Campus, Roskilde, Denmark
Elena Cantero
National Renewable Energy Centre (CENER), Sarriguren, Spain
Javier Sanz Rodrigo
National Renewable Energy Centre (CENER), Sarriguren, Spain
Fernando Borbón
National Renewable Energy Centre (CENER), Sarriguren, Spain
Daniel Martínez-Villagrasa
Physics Department, University of the Balearic Islands (UIB), Mallorca, Spain
Belén Martí
Physics Department, University of the Balearic Islands (UIB), Mallorca, Spain
Joan Cuxart
Physics Department, University of the Balearic Islands (UIB), Mallorca, Spain
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Pedro Santos, Alfredo Peña, and Jakob Mann
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-960, https://doi.org/10.5194/acp-2020-960, 2020
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Short summary
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We show that the vector of vertical flux of horizontal momentum and the vector of the mean vertical gradient of horizontal velocity are not aligned, based on Doppler wind lidar observations up to 500 m, both offshore and onshore. We illustrate that a mesoscale model output matches the observed mean wind speed and momentum fluxes well, but that this model output as well as idealized large-eddy simulations have deviations with the observations when looking at the turning of the wind.
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Short summary
This study presents results from the Alaiz experiment (ALEX17), featuring the characterization of two cases with flow features ranging from 0.1 to 10 km in complex terrain. We show that multiple scanning lidars can capture in detail a type of atmospheric wave that can happen up to 10 % of the time at this site. The results are in agreement with multiple ground observations and demonstrate the role of atmospheric stability in flow phenomena that need to be better captured by numerical models.
This study presents results from the Alaiz experiment (ALEX17), featuring the characterization...
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