Preprints
https://doi.org/10.5194/acp-2021-598
https://doi.org/10.5194/acp-2021-598

  10 Aug 2021

10 Aug 2021

Review status: this preprint is currently under review for the journal ACP.

Wind lidars reveal turbulence transport mechanism in the wake of a tree

Nikolas Angelou, Jakob Mann, and Ebba Dellwik Nikolas Angelou et al.
  • Wind Energy Department, Technical University of Denmark (DTU), Roskilde, 4000, Denmark

Abstract. Solitary trees are natural land surface elements, found in almost all climates, yet their influence on the surrounding air flow is poorly known. Here we use state-of-the-art, laser-based, remote sensing instruments to study the turbulent wind field in the near-wake region of a mature, open-grown oak tree. Our measurements provide for the first time a full picture of the mixing layer of high turbulence that surrounds the mean wind speed deficit. In this layer, we validate the eddy-viscosity hypothesis, a fundamental theory used in modelling the wind conditions. Using the mixing-length hypothesis we find that for this tree the corresponding turbulence length scale in that layer can be approximated by one, height-independent value. Further, the laser-based scanning technology used here was able to accurately reveal three-dimensional turbulent and spatially varying atmospheric flows over a large plane, without seeding or intruding the atmospheric flow. This capability points to a new and more exact way of exploring the complex earth-atmosphere interactions.

Nikolas Angelou et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-598', Anonymous Referee #1, 07 Sep 2021
  • RC2: 'Comment on acp-2021-598', Anonymous Referee #2, 07 Sep 2021

Nikolas Angelou et al.

Nikolas Angelou et al.

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Short summary
In this study we use state-of-the-art, scanning wind lidars to investigate the wind field in the near-wake region of a mature, open-grown tree. Our measurements provide for the first time a picture of the mean and the turbulent spatial fluctuations of the flow in the wake of a tree in its natural environment. Our observations support the hypothesis that even simple models can simulate realistically the turbulent fluctuations of the wake and thus predict the effect of trees in flow models.
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