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.

Data sets

NOAA’s Weather and Climate Toolkit NOAA NCEI (National Centers for Environmental Information) https://www.ncdc.noaa.gov/wct/

Radar Data NOAA NCEI (National Centers for Environmental Information) https://www.ncdc.noaa.gov/data-access/radar-data

The United States Wind Turbine Database (USWTDB) USGS https://eerscmap.usgs.gov/uswtdb/

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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.