Articles | Volume 11, issue 9
https://doi.org/10.5194/amt-11-4963-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-4963-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Clutter mitigation, multiple peaks, and high-order spectral moments in 35 GHz vertically pointing radar velocity spectra
Christopher R. Williams
CORRESPONDING AUTHOR
Ann and H. J. Smead Aerospace Engineering Sciences Department,
University of Colorado Boulder, Boulder, CO 80309, USA
Maximilian Maahn
Cooperative Institute for Research in Environmental Science
(CIRES), University of Colorado Boulder, Boulder, CO 80309, USA
NOAA Earth System Research Laboratory (ESRL), Physical
Sciences Division, Boulder, CO 80305, USA
Joseph C. Hardin
Pacific Northwest National Laboratory (PNNL), Richland, WA 99354, USA
Gijs de Boer
Cooperative Institute for Research in Environmental Science
(CIRES), University of Colorado Boulder, Boulder, CO 80309, USA
NOAA Earth System Research Laboratory (ESRL), Physical
Sciences Division, Boulder, CO 80305, USA
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Cited
19 citations as recorded by crossref.
- Wind-Speed Measurements over Land Using a Doppler Profiler with a 35-GHz Operating Range V. Sterlyadkin et al. 10.1134/S0001433821020109
- Particle inertial effects on radar Doppler spectra simulation Z. Zhu et al. 10.5194/amt-16-3727-2023
- Development and validation of a supervised machine learning radar Doppler spectra peak-finding algorithm H. Kalesse et al. 10.5194/amt-12-4591-2019
- Evaluating cloud liquid detection against Cloudnet using cloud radar Doppler spectra in a pre-trained artificial neural network H. Kalesse-Los et al. 10.5194/amt-15-279-2022
- Rapid Identification and Spectral Moment Estimation of Non-Gaussian Weather Radar Signal X. Dong et al. 10.1109/TGRS.2022.3168153
- Can liquid cloud microphysical processes be used for vertically pointing cloud radar calibration? M. Maahn et al. 10.5194/amt-12-3151-2019
- Using cloud radar to investigate the effect of rainfall on migratory insect flight C. Wainwright et al. 10.1111/2041-210X.14023
- Doppler spectra from DWD's operational C-band radar birdbath scan: sampling strategy, spectral postprocessing, and multimodal analysis for the retrieval of precipitation processes M. Gergely et al. 10.5194/amt-15-7315-2022
- peakTree: a framework for structure-preserving radar Doppler spectra analysis M. Radenz et al. 10.5194/amt-12-4813-2019
- Hailstorm events in the Central Andes of Peru: insights from historical data and radar microphysics J. Valdivia et al. 10.5194/amt-17-2295-2024
- Calibrating radar wind profiler reflectivity factor using surface disdrometer observations C. Williams et al. 10.5194/amt-16-2381-2023
- Low-level mixed-phase clouds at the high Arctic site of Ny-Ålesund: a comprehensive long-term dataset of remote sensing observations G. Chellini et al. 10.5194/essd-15-5427-2023
- Removal of Multiple-Radio-Frequency Interference in 1.29 GHz Wind Profiler Spectra K. Lee & B. Kwon 10.3390/atmos14061040
- Higher order spectral analysis of weather signals R. Enugonda et al. 10.1080/09205071.2022.2112762
- Improved spectral processing for a multi-mode pulse compression Ka–Ku-band cloud radar system H. Ding et al. 10.5194/amt-15-6181-2022
- PEAKO and peakTree: tools for detecting and interpreting peaks in cloud radar Doppler spectra – capabilities and limitations T. Vogl et al. 10.5194/amt-17-6547-2024
- PAMTRA 1.0: the Passive and Active Microwave radiative TRAnsfer tool for simulating radiometer and radar measurements of the cloudy atmosphere M. Mech et al. 10.5194/gmd-13-4229-2020
- A robust low-level cloud and clutter discrimination method for ground-based millimeter-wavelength cloud radar X. Hu et al. 10.5194/amt-14-1743-2021
- Rapid Scale Wind Profiling With Autoregressive Modeling and L-Band Doppler Radar B. Domps et al. 10.1109/TGRS.2022.3207362
19 citations as recorded by crossref.
- Wind-Speed Measurements over Land Using a Doppler Profiler with a 35-GHz Operating Range V. Sterlyadkin et al. 10.1134/S0001433821020109
- Particle inertial effects on radar Doppler spectra simulation Z. Zhu et al. 10.5194/amt-16-3727-2023
- Development and validation of a supervised machine learning radar Doppler spectra peak-finding algorithm H. Kalesse et al. 10.5194/amt-12-4591-2019
- Evaluating cloud liquid detection against Cloudnet using cloud radar Doppler spectra in a pre-trained artificial neural network H. Kalesse-Los et al. 10.5194/amt-15-279-2022
- Rapid Identification and Spectral Moment Estimation of Non-Gaussian Weather Radar Signal X. Dong et al. 10.1109/TGRS.2022.3168153
- Can liquid cloud microphysical processes be used for vertically pointing cloud radar calibration? M. Maahn et al. 10.5194/amt-12-3151-2019
- Using cloud radar to investigate the effect of rainfall on migratory insect flight C. Wainwright et al. 10.1111/2041-210X.14023
- Doppler spectra from DWD's operational C-band radar birdbath scan: sampling strategy, spectral postprocessing, and multimodal analysis for the retrieval of precipitation processes M. Gergely et al. 10.5194/amt-15-7315-2022
- peakTree: a framework for structure-preserving radar Doppler spectra analysis M. Radenz et al. 10.5194/amt-12-4813-2019
- Hailstorm events in the Central Andes of Peru: insights from historical data and radar microphysics J. Valdivia et al. 10.5194/amt-17-2295-2024
- Calibrating radar wind profiler reflectivity factor using surface disdrometer observations C. Williams et al. 10.5194/amt-16-2381-2023
- Low-level mixed-phase clouds at the high Arctic site of Ny-Ålesund: a comprehensive long-term dataset of remote sensing observations G. Chellini et al. 10.5194/essd-15-5427-2023
- Removal of Multiple-Radio-Frequency Interference in 1.29 GHz Wind Profiler Spectra K. Lee & B. Kwon 10.3390/atmos14061040
- Higher order spectral analysis of weather signals R. Enugonda et al. 10.1080/09205071.2022.2112762
- Improved spectral processing for a multi-mode pulse compression Ka–Ku-band cloud radar system H. Ding et al. 10.5194/amt-15-6181-2022
- PEAKO and peakTree: tools for detecting and interpreting peaks in cloud radar Doppler spectra – capabilities and limitations T. Vogl et al. 10.5194/amt-17-6547-2024
- PAMTRA 1.0: the Passive and Active Microwave radiative TRAnsfer tool for simulating radiometer and radar measurements of the cloudy atmosphere M. Mech et al. 10.5194/gmd-13-4229-2020
- A robust low-level cloud and clutter discrimination method for ground-based millimeter-wavelength cloud radar X. Hu et al. 10.5194/amt-14-1743-2021
- Rapid Scale Wind Profiling With Autoregressive Modeling and L-Band Doppler Radar B. Domps et al. 10.1109/TGRS.2022.3207362
Discussed (final revised paper)
Latest update: 23 Nov 2024
Short summary
This study presents three signal-processing methods to improve estimates derived from a vertically pointing 35 GHz cloud radar deployed at Oliktok Point, Alaska. The first method removes ground clutter from the Doppler velocity spectra. The second method estimates multiple peaks and high-order moments from the improved spectra. The third method removes high-frequency variability in high-order moments by shifting original 2 s spectra to a common reference before averaging over a 15 s interval.
This study presents three signal-processing methods to improve estimates derived from a...