Improvement of vertical velocity statistics measured by a Doppler lidar through comparison with sonic anemometer observations

Bonin, Timothy A.; Newman, Jennifer F.; Klein, Petra M.; Chilson, Phillip B.; Wharton, Sonia

doi:https://doi.org/10.5194/amt-9-5833-2016

Articles | Volume 9, issue 12

https://doi.org/10.5194/amt-9-5833-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/amt-9-5833-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 12

Research article

|

06 Dec 2016

Research article |

| 06 Dec 2016

Improvement of vertical velocity statistics measured by a Doppler lidar through comparison with sonic anemometer observations

Timothy A. Bonin, Jennifer F. Newman, Petra M. Klein, Phillip B. Chilson, and Sonia Wharton

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Final revised paper (published on 06 Dec 2016)
Preprint (discussion started on 07 Jul 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Referee Comment (see attached pdf)', Anonymous Referee #2, 03 Aug 2016
- AC1: 'Response to referee 2 (see supplementary PDF)', Timothy Bonin, 30 Sep 2016
RC2: 'Referee Comment', Anonymous Referee #1, 08 Aug 2016
- AC2: 'Response to referee 1 (see supplementary PDF)', Timothy Bonin, 30 Sep 2016

Short summary

Turbulence measurements are important to boundary layer meteorology and related fields. Doppler lidars are capable of providing continuous profiles of turbulence statistics. Herein, the most direct turbulence measurement, vertical velocity variance, is validated with those from sonic anemometers. Spectra are also compared. A method of calculating velocity variance using the autocovariance is shown to improve the accuracy of the measurement by mitigating effects of noise and averaging.