• Griesser, T., and Richner H. , 1998: Multiple peak processing algorithm for identification of atmospheric signal in Doppler radar wind profiler spectra. Meteor. Z., 7, 292302.

    • Search Google Scholar
    • Export Citation
  • Lehmann, V., 2012: Optimal Gabor-frame-expansion-based intermittent-clutter-filtering method for radar wind profiler. J. Atmos. Oceanic Technol., 29, 141158.

    • Search Google Scholar
    • Export Citation
  • Lehmann, V., and Teschke G. , 2008: Advanced intermittent clutter filtering for radar wind profiler: Signal separation through a Gabor frame expansion and its statistics. Ann. Geophys., 26, 759783.

    • Search Google Scholar
    • Export Citation
  • Merritt, D. A., 1995: A statistical averaging method for wind profiler Doppler spectra. J. Atmos. Oceanic Technol., 12, 985995.

  • Strauch, R. G., Merritt D. A. , Moran K. P. , Earnshaw K. B. , and Van De Kamp D. , 1984: The Colorado Wind-Profiling Network. J. Atmos. Oceanic Technol., 1, 3749.

    • Search Google Scholar
    • Export Citation
  • Weber, B. L., Wuertz D. B. , Welsh D. C. , and McPeek R. , 1993: Quality controls for profiler measurements of winds and RASS temperature. J. Atmos. Oceanic Technol., 10, 452464.

    • Search Google Scholar
    • Export Citation
  • Wilczak, J. M., and Coauthors, 1995: Contamination of wind profiler data by migrating birds: Characteristics of corrupted data and potential solutions. J. Atmos. Oceanic Technol., 12, 449467.

    • Search Google Scholar
    • Export Citation
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Implementation of a Gabor Transform Data Quality-Control Algorithm for UHF Wind Profiling Radars

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  • 1 Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, and NOAA/Earth System Research Laboratory/Physical Sciences Division, Boulder, Colorado
  • | 2 NOAA/Earth System Research Laboratory/Physical Sciences Division, Boulder, Colorado
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Abstract

In this paper a Gabor transform–based algorithm is applied to identify and eliminate intermittent signal contamination in UHF wind profiling radars, such as that produced by migrating birds. The algorithm is applied in the time domain, and so it can be used to improve the accuracy of UHF radar wind profiler data in real time—an essential requirement if these wind profiler data are to be assimilated into operational weather forecast models. The added value of using a moment-level Weber–Wuertz pattern recognition scheme that follows the Gabor transform processing is demonstrated.

Corresponding author address: Dr. Laura Bianco, NOAA/Earth System Research Laboratory, 325 Broadway, R/PSD3, Boulder, CO 80305-3328. E-mail: laura.bianco@noaa.gov

This article is included in the ISARS 2012 special collection.

Abstract

In this paper a Gabor transform–based algorithm is applied to identify and eliminate intermittent signal contamination in UHF wind profiling radars, such as that produced by migrating birds. The algorithm is applied in the time domain, and so it can be used to improve the accuracy of UHF radar wind profiler data in real time—an essential requirement if these wind profiler data are to be assimilated into operational weather forecast models. The added value of using a moment-level Weber–Wuertz pattern recognition scheme that follows the Gabor transform processing is demonstrated.

Corresponding author address: Dr. Laura Bianco, NOAA/Earth System Research Laboratory, 325 Broadway, R/PSD3, Boulder, CO 80305-3328. E-mail: laura.bianco@noaa.gov

This article is included in the ISARS 2012 special collection.

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