Articles | Volume 10, issue 2
Atmos. Meas. Tech., 10, 393–407, 2017

Special issue: Pushing the limits: The eXperimental Planetary boundary layer...

Atmos. Meas. Tech., 10, 393–407, 2017
Research article
02 Feb 2017
Research article | 02 Feb 2017

Identification of tower-wake distortions using sonic anemometer and lidar measurements

Katherine McCaffrey et al.

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Cited articles

Brower, M. and Bernadett, D. W.: Wind resource assessment: a practical guide to developing a wind project, John Wiley & Sons, p. 152, 2012.
Brown, S. S., Thornton, J. A., Keene, W. C., Pszenny, A. A., Sive, B. C., Dubé, W. P., Wagner, N. L., Young, C. J., Riedel, T. P., Roberts, J. M., VandenBoer, T. C., Bahreini, R., Öztürk, F., Middlebrook, A. M., Kim, S., Hübler, G., and Wolfe, D. E.: Nitrogen, Aerosol Composition, and Halogens on a Tall Tower (NACHTT): Overview of a wintertime air chemistry field study in the front range urban corridor of Colorado, J. Geophys. Res.-Atmos., 118, 8067–8085, 2013.
Calhoun, R., Heap, R., Princevac, M., Newsom, R., Fernando, H., and Ligon, D.: Virtual towers using coherent Doppler lidar during the Joint Urban 2003 dispersion experiment, J. Appl. Meteorol. Climatol., 45, 1116–1126, 2006.
Cermak, J. and Horn, J.: Tower shadow effect, J. Geophys. Res., 73, 1869–1876, 1968.
Dabberdt, W. F.: Tower-induced errors in wind profile measurements, J. Appl. Meteorol., 7, 359–366, 1968.
Short summary
During the eXperimental Planetary boundary layer Instrumentation Assessment (XPIA) field campaign, the wake and flow distortion from a 300-meter meteorological tower was identified using pairs of sonic anemometers mounted on opposite sides of the tower, as well as profiling and scanning lidars. Wind speed deficits up to 50% and TKE increases of 2 orders of magnitude were observed at wind directions in the wake, along with wind direction differences (flow deflection) outside of the wake.