Articles | Volume 11, issue 9
https://doi.org/10.5194/amt-11-4963-2018
https://doi.org/10.5194/amt-11-4963-2018
Research article
 | 
03 Sep 2018
Research article |  | 03 Sep 2018

Clutter mitigation, multiple peaks, and high-order spectral moments in 35 GHz vertically pointing radar velocity spectra

Christopher R. Williams, Maximilian Maahn, Joseph C. Hardin, and Gijs de Boer

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Cited articles

Acquistapace, C., Kneifel, S., Löhnert, U., Kollias, P., Maahn, M., and Bauer-Pfundstein, M.: Optimizing observations of drizzle onset with millimeter-wavelength radars, Atmos. Meas. Tech., 10, 1783–1802, https://doi.org/10.5194/amt-10-1783-2017, 2017.
Allabakash, S., Yasodha, P., Bianco, L., Reddy, S. V., Srinivasulu, P., and Lim S.: Improved boundary layer height measurement using a fuzzy logic method: Diurnal and seasonal variabilities of the convective boundary layer over a tropical station, J. Geophys. Res.-Atmos., 122, 9211–9232, 2017.
Atmospheric Radiation Measurement (ARM) Climate Research Facility, Matthews, A., Isom, B., Nelson, D., Lindenmaier, I., Hardin, J., Johnson, K., and Bharadwaj, N.: Ka ARM Zenith Radar (KAZRSPECCMASKGECOPOL), 2015-06-01 to 2015-10-31, ARM Mobile Facility (OLI) Olikiok Point, Alaska; AMF3 (M1), https://doi.org/10.5439/1025218, last access: 18 May 2017.
Barth, M. F., Chadwick, R. B., and van de Kamp, D. W.: Data processing algorithms used by NOAA's wind profiler demonstration network, Ann. Geophys., 12, 518–528, 1994.
Bianco, L., Gottas, D., and Wilczak, J. M.: Implementation of a Gabor Transform Data Quality-Control Algorithm for UHF Wind Profiling Radars, J. Atmos. Ocean. Technol., 30, 2697–2703, https://doi.org/10.1175/JTECH-D-13-00089.1, 2013.
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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.