Articles | Volume 5, issue 1
Wind Energ. Sci., 5, 331–347, 2020
https://doi.org/10.5194/wes-5-331-2020

Special issue: Wind Energy Science Conference 2019

Wind Energ. Sci., 5, 331–347, 2020
https://doi.org/10.5194/wes-5-331-2020

Research article 06 Mar 2020

Research article | 06 Mar 2020

Radar-derived precipitation climatology for wind turbine blade leading edge erosion

Frederick Letson et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Frederick Letson on behalf of the Authors (08 Nov 2019)  Author's response
ED: Referee Nomination & Report Request started (20 Nov 2019) by Julio J. Melero
RR by Anonymous Referee #2 (24 Nov 2019)
ED: Publish as is (29 Nov 2019) by Julio J. Melero
ED: Publish as is (02 Dec 2019) by Joachim Peinke(Chief Editor)
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Short summary
Wind turbine blade leading edge erosion (LEE) is potentially a significant source of energy loss and expense for wind farm operators. This study presents a novel approach to characterizing LEE potential from precipitation across the contiguous USA based on publicly available National Weather Service dual-polarization RADAR data. The approach is described in detail and illustrated using six locations distributed across parts of the USA that have substantial wind turbine deployments.