Articles | Volume 8, issue 2
https://doi.org/10.5194/amt-8-593-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-593-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
05 Feb 2015
Research article |
| 05 Feb 2015
A quantitative analysis of the impact of wind turbines on operational Doppler weather radar data
L. Norin
CORRESPONDING AUTHOR
Atmospheric Remote Sensing Unit, Research Department, Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Viewed
Total article views: 3,569 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Aug 2014)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,025 | 1,364 | 180 | 3,569 | 314 | 140 | 137 |
- HTML: 2,025
- PDF: 1,364
- XML: 180
- Total: 3,569
- Supplement: 314
- BibTeX: 140
- EndNote: 137
Total article views: 2,620 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 05 Feb 2015)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,511 | 957 | 152 | 2,620 | 195 | 125 | 126 |
- HTML: 1,511
- PDF: 957
- XML: 152
- Total: 2,620
- Supplement: 195
- BibTeX: 125
- EndNote: 126
Total article views: 949 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Aug 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 514 | 407 | 28 | 949 | 15 | 11 |
- HTML: 514
- PDF: 407
- XML: 28
- Total: 949
- BibTeX: 15
- EndNote: 11
Cited
15 citations as recorded by crossref.
- Offshore wind turbine clutter characteristics and identification in operational C‐band weather radar measurements W. Hall et al. 10.1002/qj.2959
- Deep Learning-Based Radar Composite Reflectivity Factor Estimations from Fengyun-4A Geostationary Satellite Observations F. Sun et al. 10.3390/rs13112229
- Improvement in algorithms for quality control of weather radar data (RADVOL-QC system) K. Ośródka & J. Szturc 10.5194/amt-15-261-2022
- A Novel CNN-Based Radar Reflectivity Retrieval Network Using Geostationary Satellite Observations J. Si et al. 10.1109/LGRS.2023.3332844
- Performance assessment of SM2RAIN-NWF using ASCAT soil moisture via supervised land cover-soil-climate classification M. Saeedi et al. 10.1016/j.rse.2022.113393
- Estimating reflectivity values from wind turbines for analyzing the potential impact on weather radar services I. Angulo et al. 10.5194/amt-8-2183-2015
- Insights into wind turbine reflectivity and radar cross-section (RCS) and their variability using X-band weather radar observations M. Lainer et al. 10.5194/amt-14-3541-2021
- Horus—A Fully Digital Polarimetric Phased Array Radar for Next-Generation Weather Observations R. Palmer et al. 10.1109/TRS.2023.3280033
- OpenMRG: Open data from Microwave links, Radar, and Gauges for rainfall quantification in Gothenburg, Sweden J. Andersson et al. 10.5194/essd-14-5411-2022
- On the polarimetric backscatter by a still or quasi-still wind turbine M. Gabella et al. 10.5194/amt-16-4409-2023
- Creation of a high resolution precipitation data set by merging gridded gauge data and radar observations for Sweden P. Berg et al. 10.1016/j.jhydrol.2015.11.031
- Wind turbine impact on operational weather radar I/Q data: characterisation and filtering L. Norin 10.5194/amt-10-1739-2017
- Merging weather radar and rain gauges for dryland agriculture P. Weir et al. 10.1071/ES23023
- The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review Z. Sokol et al. 10.3390/rs13030351
- Scientific challenges to characterizing the wind resource in the marine atmospheric boundary layer W. Shaw et al. 10.5194/wes-7-2307-2022
15 citations as recorded by crossref.
- Offshore wind turbine clutter characteristics and identification in operational C‐band weather radar measurements W. Hall et al. 10.1002/qj.2959
- Deep Learning-Based Radar Composite Reflectivity Factor Estimations from Fengyun-4A Geostationary Satellite Observations F. Sun et al. 10.3390/rs13112229
- Improvement in algorithms for quality control of weather radar data (RADVOL-QC system) K. Ośródka & J. Szturc 10.5194/amt-15-261-2022
- A Novel CNN-Based Radar Reflectivity Retrieval Network Using Geostationary Satellite Observations J. Si et al. 10.1109/LGRS.2023.3332844
- Performance assessment of SM2RAIN-NWF using ASCAT soil moisture via supervised land cover-soil-climate classification M. Saeedi et al. 10.1016/j.rse.2022.113393
- Estimating reflectivity values from wind turbines for analyzing the potential impact on weather radar services I. Angulo et al. 10.5194/amt-8-2183-2015
- Insights into wind turbine reflectivity and radar cross-section (RCS) and their variability using X-band weather radar observations M. Lainer et al. 10.5194/amt-14-3541-2021
- Horus—A Fully Digital Polarimetric Phased Array Radar for Next-Generation Weather Observations R. Palmer et al. 10.1109/TRS.2023.3280033
- OpenMRG: Open data from Microwave links, Radar, and Gauges for rainfall quantification in Gothenburg, Sweden J. Andersson et al. 10.5194/essd-14-5411-2022
- On the polarimetric backscatter by a still or quasi-still wind turbine M. Gabella et al. 10.5194/amt-16-4409-2023
- Creation of a high resolution precipitation data set by merging gridded gauge data and radar observations for Sweden P. Berg et al. 10.1016/j.jhydrol.2015.11.031
- Wind turbine impact on operational weather radar I/Q data: characterisation and filtering L. Norin 10.5194/amt-10-1739-2017
- Merging weather radar and rain gauges for dryland agriculture P. Weir et al. 10.1071/ES23023
- The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review Z. Sokol et al. 10.3390/rs13030351
- Scientific challenges to characterizing the wind resource in the marine atmospheric boundary layer W. Shaw et al. 10.5194/wes-7-2307-2022
Saved (preprint)
Latest update: 21 Nov 2024
Short summary
This paper presents a quantitative analysis of the impact of a wind farm on measurements from a nearby Doppler weather radar, based on 6 years of operational radar data. We show that radar measurements from a large area at and downrange from the wind farm as well as up to 3 km above the wind turbines were impacted. We also show that, when weather echoes give rise to higher reflectivity values than those of the wind farm, the negative impact of the wind turbines is greatly reduced.
This paper presents a quantitative analysis of the impact of a wind farm on measurements from a...
