Assessing variability of wind speed: comparison and validation of 27 methodologies

Lee, Joseph C. Y.; Fields, M. Jason; Lundquist, Julie K.

doi:https://doi.org/10.5194/wes-3-845-2018

Articles | Volume 3, issue 2

https://doi.org/10.5194/wes-3-845-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-3-845-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 3, issue 2

Research article

|

05 Nov 2018

Research article |

| 05 Nov 2018

Assessing variability of wind speed: comparison and validation of 27 methodologies

Joseph C. Y. Lee, M. Jason Fields, and Julie K. Lundquist

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Final revised paper (published on 05 Nov 2018)
Preprint (discussion started on 30 Jul 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'comments on WES-2018-49', Anonymous Referee #1, 19 Aug 2018
- AC1: 'Response to Reviewer 1: WES-2018-49', Joseph C. Y. Lee, 04 Oct 2018
RC2: 'Review of Assessing Variability of Wind Speed by Lee et al.', Anonymous Referee #2, 28 Aug 2018
- AC2: 'Response to Reviewer 2: WES-2018-49', Joseph C. Y. Lee, 04 Oct 2018

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Joseph C. Y. Lee on behalf of the Authors (04 Oct 2018) Manuscript

ED: Publish as is (10 Oct 2018) by Christian Masson

ED: Publish as is (16 Oct 2018) by Jakob Mann (Chief editor)

AR by Joseph C. Y. Lee on behalf of the Authors (23 Oct 2018)

Short summary

To find the ideal way to quantify long-term wind-speed variability, we compare 27 metrics using 37 years of wind and energy data. We conclude that the robust coefficient of variation can effectively assess and correlate wind-speed and energy-production variabilities. We derive adequate results via monthly mean data, whereas uncertainty arises in interannual variability calculations. We find that reliable estimates of wind-speed variability require 10 ± 3 years of monthly mean wind data.