Articles | Volume 14, issue 5
Atmos. Meas. Tech., 14, 3541–3560, 2021
https://doi.org/10.5194/amt-14-3541-2021
Atmos. Meas. Tech., 14, 3541–3560, 2021
https://doi.org/10.5194/amt-14-3541-2021

Research article 18 May 2021

Research article | 18 May 2021

Insights into wind turbine reflectivity and radar cross-section (RCS) and their variability using X-band weather radar observations

Martin Lainer et al.

Model code and software

Pyrad: a Real-Time Weather Radar Data Processing Framework Based on Py-ART (https://github.com/MeteoSwiss/pyrad.git) J. Figueras i Ventura, M. Lainer, Z. Schauwecker, J. Grazioli, and U. Germann https://doi.org/10.5334/jors.330

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Short summary
We show results from two unique measurement campaigns aimed at better understanding effects of large wind turbines on radar returns by deploying a mobile X-band weather radar system in the proximity of a small wind park. Measurements were taken in 24/7 operation with dedicated scan strategies to retrieve the variability and most extreme values of reflectivity and radar cross-section of the wind turbines. The findings are useful for wind turbine interference mitigation measures in radar systems.