Advances in Radio Science
Advances in Radio Science
ARS
Articles | Volume 20
Articles | Volume 20
https://doi.org/10.5194/ars-20-67-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ars-20-67-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20
21 Mar 2023
 | 21 Mar 2023

Processing of weather radar raw IQ-data towards the identification and correction of wind turbine interference – Project RIWER: Removing the Influence of Wind Park Echoes in Weather Radar Measurements

Bhavinkumar Vishnubhai Patel, Emre Colak, Aastha Vyas, Madhu Chandra, and Ralf Zichner

Viewed

Total article views: 1,248 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
748 464 36 1,248 63 106
  • HTML: 748
  • PDF: 464
  • XML: 36
  • Total: 1,248
  • BibTeX: 63
  • EndNote: 106
Views and downloads (calculated since 21 Mar 2023)
Cumulative views and downloads (calculated since 21 Mar 2023)

Viewed (geographical distribution)

Total article views: 1,258 (including HTML, PDF, and XML) Thereof 1,258 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 23 Oct 2025
Download
Short summary
We investigated the impact of Wind Turbines and Wind Turbine Interference on operational weather radar unfiltered raw IQ-data and subsequent radar moments, such as Reflectivity, Differential Reflectivity, Differential Phase, Mean Doppler Velocity and Correlation Coefficient, for both events with and without precipitation in this contribution under the scope of the RIWER (Removing the Influence of Wind Park Echoes in Weather Radar Measurements) project.
Read more
Share