Estimating reflectivity values from wind turbines for analyzing the potential impact on weather radar services

Angulo, I.; Grande, O.; Jenn, D.; Guerra, D.; de la Vega, D.

doi:https://doi.org/10.5194/amt-8-2183-2015

Articles | Volume 8, issue 5

https://doi.org/10.5194/amt-8-2183-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/amt-8-2183-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 5

Research article

|

27 May 2015

Research article |

| 27 May 2015

Estimating reflectivity values from wind turbines for analyzing the potential impact on weather radar services

I. Angulo, O. Grande, D. Jenn, D. Guerra, and D. de la Vega

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Final revised paper (published on 27 May 2015)
Preprint (discussion started on 03 Feb 2015)

Interactive discussion

Status: closed

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

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- Supplement

RC C309: 'Reviewer Comments', Anonymous Referee #1, 16 Mar 2015
- AC C431: 'Response_to_amtd-8-C309-2015', Itziar Angulo, 26 Mar 2015
RC C452: ''Estimating Reflectivity Values from Wind Turbines for Analyzing the Potential Impact on Weather Radar Services'. Referee Comments.', Anonymous Referee #2, 27 Mar 2015
- AC C853: 'Response to amtd-8-C452-2015', Itziar Angulo, 28 Apr 2015
SC C460: 'Comment to "Estimating Reflectivity Values from Wind Turbines for Analyzing the Potential Impact on Weather Radar Services"', Maximilian Maahn, 27 Mar 2015
- AC C864: 'Response_to_amtd-8-C460-2015', Itziar Angulo, 28 Apr 2015

Short summary

The World Meteorological Organization has expressed concern over the increasing number of impact cases of wind turbine farms on weather radars. This paper proposes a wind turbine clutter reflectivity model, which aims at being of great help in the evaluation of the potential impact of a certain wind farm on the weather radar operation. First the radar cross section (RCS) of wind turbines is characterized by means of computer simulations and then a simplified RCS model is proposed.