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
The increasing demand for renewable energy encourages the installation of wind turbine sites for power generation across Europe, thus supporting the important energy transition, but also having a negative impact on weather radar measurements near wind turbine sites. In recent years, the fast constru...
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Published in | 2021 Kleinheubach Conference p. 1 |
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Main Authors | , , , , , , , , , , |
Format | Conference Proceeding |
Language | English |
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German Member Committee of URSI
28.09.2021
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Abstract | The increasing demand for renewable energy encourages the installation of wind turbine sites for power generation across Europe, thus supporting the important energy transition, but also having a negative impact on weather radar measurements near wind turbine sites. In recent years, the fast construction, expansion and repowering of wind parks have been a major source of concern for the weather radar community and meteorological services. Among others because wind turbines are extremely tall, reflective, and moving objects, which make them a source of interference that is hard to distinguish from meteorological echoes and therefore difficult to filter and even more difficult to correct. Polarimetric C-Band Doppler weather radar measurements enable us to analyse and understand the impact of wind turbine interference on meteorological weather radar echoes and to build up knowledge.The main idea is to analyse the raw IQ-data in order to quantify the behaviour of wind turbine interference with meteorological scattering. As a first step in this direction, this paper will focus on the derivation and analysis of radar moments such as Reflectivity (Z), Differential Reflectivity (ZDR), Differential Phase (PHIDP), and Mean Doppler Velocity (V). We will consider two cases: (i) events with precipitation, and (ii) events without precipitation, in order to understand and model the impact of wind turbine interference.For this purpose, weather radar measurements from Deutscher Wetterdienst (DWD), recorded under the aegis of the RIWER project (Removing the Influence of Wind Park Echoes in Weather Radar Measurements), are presented, analysed and discussed in detail. |
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AbstractList | The increasing demand for renewable energy encourages the installation of wind turbine sites for power generation across Europe, thus supporting the important energy transition, but also having a negative impact on weather radar measurements near wind turbine sites. In recent years, the fast construction, expansion and repowering of wind parks have been a major source of concern for the weather radar community and meteorological services. Among others because wind turbines are extremely tall, reflective, and moving objects, which make them a source of interference that is hard to distinguish from meteorological echoes and therefore difficult to filter and even more difficult to correct. Polarimetric C-Band Doppler weather radar measurements enable us to analyse and understand the impact of wind turbine interference on meteorological weather radar echoes and to build up knowledge.The main idea is to analyse the raw IQ-data in order to quantify the behaviour of wind turbine interference with meteorological scattering. As a first step in this direction, this paper will focus on the derivation and analysis of radar moments such as Reflectivity (Z), Differential Reflectivity (ZDR), Differential Phase (PHIDP), and Mean Doppler Velocity (V). We will consider two cases: (i) events with precipitation, and (ii) events without precipitation, in order to understand and model the impact of wind turbine interference.For this purpose, weather radar measurements from Deutscher Wetterdienst (DWD), recorded under the aegis of the RIWER project (Removing the Influence of Wind Park Echoes in Weather Radar Measurements), are presented, analysed and discussed in detail. |
Author | Sauter, Tanja Tracksdorf, Patrick Meyne, Sascha Teschke, Gerd Koster, Uwe Chandra, Madhukar Patel, Bhavinkumar Vishnubhai Blank, Ulrike Vyas, Aastha Colak, Emre Sudhaus, Dirk |
Author_xml | – sequence: 1 givenname: Bhavinkumar Vishnubhai surname: Patel fullname: Patel, Bhavinkumar Vishnubhai email: bhavinkumar-vishnubhai.patel@etit.tu-chemnitz.de organization: Chemnitz University of Technology,Department of Microwave Engineering and Electromagnetic Theory,09126 Chemnitz,Germany – sequence: 2 givenname: Emre surname: Colak fullname: Colak, Emre organization: Chemnitz University of Technology,Department of Microwave Engineering and Electromagnetic Theory,09126 Chemnitz,Germany – sequence: 3 givenname: Aastha surname: Vyas fullname: Vyas, Aastha organization: Chemnitz University of Technology,Department of Microwave Engineering and Electromagnetic Theory,09126 Chemnitz,Germany – sequence: 4 givenname: Madhukar surname: Chandra fullname: Chandra, Madhukar organization: Chemnitz University of Technology,Department of Microwave Engineering and Electromagnetic Theory,09126 Chemnitz,Germany – sequence: 5 givenname: Uwe surname: Koster fullname: Koster, Uwe organization: University of Neubrandenburg,Faculty of Landscape Sciences and Geomatics,17033 Neubrandenburg,Germany – sequence: 6 givenname: Ulrike surname: Blank fullname: Blank, Ulrike organization: University of Neubrandenburg,Faculty of Landscape Sciences and Geomatics,17033 Neubrandenburg,Germany – sequence: 7 givenname: Gerd surname: Teschke fullname: Teschke, Gerd organization: University of Neubrandenburg,Faculty of Landscape Sciences and Geomatics,17033 Neubrandenburg,Germany – sequence: 8 givenname: Patrick surname: Tracksdorf fullname: Tracksdorf, Patrick organization: Deutscher Wetterdienst,Germany – sequence: 9 givenname: Tanja surname: Sauter fullname: Sauter, Tanja organization: Deutscher Wetterdienst,Germany – sequence: 10 givenname: Dirk surname: Sudhaus fullname: Sudhaus, Dirk organization: Fachagentur Windenergie an Land e.V.,12435 Berlin,Germany – sequence: 11 givenname: Sascha surname: Meyne fullname: Meyne, Sascha organization: Physikalisch-Technische Bundesanstalt,38116 Braunschweig,Germany |
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SubjectTerms | Interference Meteorological radar radar algorithms Radar clutter Radar measurements radar moments Radar polarimetry raw IQ-data processing Reflectivity Weather radar Wind wind park echoes (WPE) wind turbine clutter (WTC) wind turbine interference (WTI) |
Title | 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 |
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