Alignment of stress, mean wind, and vertical gradient of the velocity vector

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

Standard

Alignment of stress, mean wind, and vertical gradient of the velocity vector. / Berg, Jacob; Mann, Jakob; Patton, E.G.

Extended Abstracts of Presentations from the 16th International Symposium for the Advancement of Boundary-Layer Remote Sensing. Steering Committee of the 16th International Symposium for the Advancement of Boundary-Layer Remote Sensing, 2012. p. 297-300.

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

Harvard

Berg, J, Mann, J & Patton, EG 2012, 'Alignment of stress, mean wind, and vertical gradient of the velocity vector'. in Extended Abstracts of Presentations from the 16th International Symposium for the Advancement of Boundary-Layer Remote Sensing. Steering Committee of the 16th International Symposium for the Advancement of Boundary-Layer Remote Sensing, pp. 297-300.

APA

Berg, J., Mann, J., & Patton, E. G. (2012). Alignment of stress, mean wind, and vertical gradient of the velocity vector. In Extended Abstracts of Presentations from the 16th International Symposium for the Advancement of Boundary-Layer Remote Sensing. (pp. 297-300). Steering Committee of the 16th International Symposium for the Advancement of Boundary-Layer Remote Sensing.

CBE

Berg J, Mann J, Patton EG. 2012. Alignment of stress, mean wind, and vertical gradient of the velocity vector. In Extended Abstracts of Presentations from the 16th International Symposium for the Advancement of Boundary-Layer Remote Sensing. Steering Committee of the 16th International Symposium for the Advancement of Boundary-Layer Remote Sensing. pp. 297-300.

MLA

Berg, Jacob, Jakob Mann and E.G. Patton "Alignment of stress, mean wind, and vertical gradient of the velocity vector". Extended Abstracts of Presentations from the 16th International Symposium for the Advancement of Boundary-Layer Remote Sensing. Steering Committee of the 16th International Symposium for the Advancement of Boundary-Layer Remote Sensing. 2012. 297-300.

Vancouver

Berg J, Mann J, Patton EG. Alignment of stress, mean wind, and vertical gradient of the velocity vector. In Extended Abstracts of Presentations from the 16th International Symposium for the Advancement of Boundary-Layer Remote Sensing. Steering Committee of the 16th International Symposium for the Advancement of Boundary-Layer Remote Sensing. 2012. p. 297-300.

Author

Berg, Jacob; Mann, Jakob; Patton, E.G. / Alignment of stress, mean wind, and vertical gradient of the velocity vector.

Extended Abstracts of Presentations from the 16th International Symposium for the Advancement of Boundary-Layer Remote Sensing. Steering Committee of the 16th International Symposium for the Advancement of Boundary-Layer Remote Sensing, 2012. p. 297-300.

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

Bibtex

@inbook{ab4a94efa6f04a20999d76b3e2e99f97,
title = "Alignment of stress, mean wind, and vertical gradient of the velocity vector",
publisher = "Steering Committee of the 16th International Symposium for the Advancement of Boundary-Layer Remote Sensing",
author = "Jacob Berg and Jakob Mann and E.G. Patton",
year = "2012",
pages = "297-300",
booktitle = "Extended Abstracts of Presentations from the 16th International Symposium for the Advancement of Boundary-Layer Remote Sensing",

}

RIS

TY - GEN

T1 - Alignment of stress, mean wind, and vertical gradient of the velocity vector

A1 - Berg,Jacob

A1 - Mann,Jakob

A1 - Patton,E.G.

AU - Berg,Jacob

AU - Mann,Jakob

AU - Patton,E.G.

PB - Steering Committee of the 16th International Symposium for the Advancement of Boundary-Layer Remote Sensing

PY - 2012

Y1 - 2012

N2 - In many applications in the atmospheric surface layer the turbulent-viscosity hypothesis is applied, i.e. the stress vector can be described through the vertical gradient of velocity. In the atmospheric surface layer, where the Coriolis force and baroclinic effects are considered negligible, this is supposedly a good approximation. High resolution large-eddy simulation (LES) data show that it is indeed <br/>the case. Through analysis of WindCube lidar measurements accompanied by sonic measurements we show that this is, on the other hand, rarely the case in the real atmosphere. This might indicate that large scale mechanisms play an important role in the misalignment observed in the atmosphere. Baroclinicity is one candidate of a such, instationarity another. In this contribution we will present ongoing work: data from both a WindCube lidar, sonic anemometers and LES and discuss the results in the context of atmospheric boundary layer modeling. The measurements are from the Danish wind turbine <br/>test sites at Høvsøre. With theWindCube lidar we are able to reach heights of 250 meters and hence capture the entire atmospheric surface layer both in terms of wind speed and the direction of the mean stress vector.

AB - In many applications in the atmospheric surface layer the turbulent-viscosity hypothesis is applied, i.e. the stress vector can be described through the vertical gradient of velocity. In the atmospheric surface layer, where the Coriolis force and baroclinic effects are considered negligible, this is supposedly a good approximation. High resolution large-eddy simulation (LES) data show that it is indeed <br/>the case. Through analysis of WindCube lidar measurements accompanied by sonic measurements we show that this is, on the other hand, rarely the case in the real atmosphere. This might indicate that large scale mechanisms play an important role in the misalignment observed in the atmosphere. Baroclinicity is one candidate of a such, instationarity another. In this contribution we will present ongoing work: data from both a WindCube lidar, sonic anemometers and LES and discuss the results in the context of atmospheric boundary layer modeling. The measurements are from the Danish wind turbine <br/>test sites at Høvsøre. With theWindCube lidar we are able to reach heights of 250 meters and hence capture the entire atmospheric surface layer both in terms of wind speed and the direction of the mean stress vector.

BT - Extended Abstracts of Presentations from the 16th International Symposium for the Advancement of Boundary-Layer Remote Sensing

T2 - Extended Abstracts of Presentations from the 16th International Symposium for the Advancement of Boundary-Layer Remote Sensing

SP - 297

EP - 300

ER -