The DeTect Inc. RAPTOR VAD-BL Radar Wind Profiler

Elías Lau DeTect Inc., Longmont, Colorado

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Scott McLaughlin DeTect Inc., Longmont, Colorado

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Frank Pratte DeTect Inc., Longmont, Colorado

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Bob Weber DeTect Inc., Longmont, Colorado

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David Merritt DeTect Inc., Longmont, Colorado

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Maikel Wise DeTect Inc., Longmont, Colorado

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Gary Zimmerman DeTect Inc., Longmont, Colorado

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Matthew James DeTect Inc., Longmont, Colorado

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Megan Sloan DeTect Inc., Longmont, Colorado

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Abstract

The DeTect Inc. RAPTOR velocity–azimuth display boundary layer (VAD-BL) radar wind profiler is a pulsed Doppler radar used to make automatic unattended measurements of wind profiles in the lower atmosphere. All data products are produced on site, in real time, and utilize quality control software to screen out interference. The nominal frequencies are 915 and 1290 MHz but other frequencies can be accommodated. While the architecture is similar to other boundary layer wind profilers, the RAPTOR VAD-BL is designed to provide consistently superior data quality due to its antenna design and signal processing capabilities. The antenna is a high-performance parabolic reflector with a feed that is designed in house for the operational frequency of the radar. The antenna is mounted on a robust military-grade azimuth-only positioner. The RAPTOR VAD-BL can collect data from several opposing beam positions with the goal of producing higher-quality wind data using the velocity–azimuth display (VAD) algorithm. The Advanced Signal Processing Engine (ASPEN) software used to calculate winds outperforms conventional consensus algorithms. The health and status of all critical subsystems is monitored via the profiler health monitor (PHM), a stand-alone monitor with its own microprocessor. Results from systems deployed for operational applications show the potential for the retrieval of high-quality data with excellent height coverage and a solid design that allows the antenna to perform under sustained high wind loading.

Corresponding author address: Elías Lau, DeTect Inc., 117 S. Sunset St., Suite L, Longmont, CO 80501. E-mail: elias.lau@detect-inc.com

This article is included in the ISARS 2012 special collection.

Abstract

The DeTect Inc. RAPTOR velocity–azimuth display boundary layer (VAD-BL) radar wind profiler is a pulsed Doppler radar used to make automatic unattended measurements of wind profiles in the lower atmosphere. All data products are produced on site, in real time, and utilize quality control software to screen out interference. The nominal frequencies are 915 and 1290 MHz but other frequencies can be accommodated. While the architecture is similar to other boundary layer wind profilers, the RAPTOR VAD-BL is designed to provide consistently superior data quality due to its antenna design and signal processing capabilities. The antenna is a high-performance parabolic reflector with a feed that is designed in house for the operational frequency of the radar. The antenna is mounted on a robust military-grade azimuth-only positioner. The RAPTOR VAD-BL can collect data from several opposing beam positions with the goal of producing higher-quality wind data using the velocity–azimuth display (VAD) algorithm. The Advanced Signal Processing Engine (ASPEN) software used to calculate winds outperforms conventional consensus algorithms. The health and status of all critical subsystems is monitored via the profiler health monitor (PHM), a stand-alone monitor with its own microprocessor. Results from systems deployed for operational applications show the potential for the retrieval of high-quality data with excellent height coverage and a solid design that allows the antenna to perform under sustained high wind loading.

Corresponding author address: Elías Lau, DeTect Inc., 117 S. Sunset St., Suite L, Longmont, CO 80501. E-mail: elias.lau@detect-inc.com

This article is included in the ISARS 2012 special collection.

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  • Angevine, W. M., Avery S. K. , Ecklund W. L. , and Carter D. A. , 1993: Fluxes of heat and momentum measured with a boundary-layer wind profiler radar–radio acoustic sounding system. J. Appl. Meteor., 32, 7380.

    • Search Google Scholar
    • Export Citation
  • Boyer, E., Larzabal P. , Adnet C. , and Petitdidier M. , 2003: Parametric spectral moments estimation forwind profiling radar. IEEE Trans. Geosci. Remote Sens., 41, 18591868.

    • Search Google Scholar
    • Export Citation
  • Browning, K. A., and Wexler R. , 1968: The determination of kinematic properties of a wind field using Doppler radar. J. Appl. Meteor., 7, 105113.

    • Search Google Scholar
    • Export Citation
  • Browning, K. A., Jerrett D. , Nash J. , Oakley T. , and Roberts N. M. , 1998: Cold frontal structure derived from radar wind profilers. Meteor. Appl., 5, 6774.

    • Search Google Scholar
    • Export Citation
  • Carter, D. A., Gage K. S. , Ecklund W. L. , Angevine W. M. , Johnston P. E. , Riddle A. C. , Wilson J. , and Williams C. R. , 1995: Developments in UHF lower tropospheric wind profiling at NOAA’s Aeronomy Laboratory. Radio Sci., 30, 9771001.

    • Search Google Scholar
    • Export Citation
  • Cheong, B. L., Yu T.-Y. , Palmer R. D. , Yang K.-F. , Hoffman M. W. , Frasier S. J. , and Lopez-Dekker F. J. , 2008: Effects of wind field inhomogeneities on Doppler beam swinging revealed by an imaging radar. J. Atmos. Oceanic Technol., 25, 14141422.

    • Search Google Scholar
    • Export Citation
  • Cohn, S. A., and Angevine W. M. , 2000: Boundary layer height and entrainment zone thickness measured by lidars and wind-profiling radars. J. Appl. Meteor., 39, 12331247.

    • Search Google Scholar
    • Export Citation
  • Hashiguchi, H., and Coauthors, 1995: Diurnal variations of the planetary boundary layer observed with an L-band clear-air Doppler radar. Bound.-Layer Meteor., 74, 419424.

    • 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
  • Matuura, N., Masuda Y. , Inuki H. , Kato S. , Fukao S. , Sato T. , and Tsuda T. , 1986: Radio acoustic measurement of temperature profile in the troposphere and stratosphere. Nature, 323, 426428.

    • Search Google Scholar
    • Export Citation
  • May, P. T., Strauch R. G. , and Moran K. P. , 1988: The altitude coverage of temperature measurements using RASS with wind profiler radars. Geophys. Res. Lett., 15, 13811384.

    • Search Google Scholar
    • Export Citation
  • McLaughlin, S. A., Sloan M. M. , and Lau E. M. , 2010: Rotational parabolic antenna with various feed configurations. U.S. Patent 8,373,589 B2, filed May 26, 2010, and issued February 12, 2013.

  • Schafer, R., Avery S. K. , May P. T. , Rajopadhyaya D. , and Williams C. , 2002: Estimation of rainfall drop size distributions from dual-frequency wind profiler spectra using deconvolution and a nonlinear least squares fitting technique. J. Atmos. Oceanic Technol., 19, 864874.

    • Search Google Scholar
    • Export Citation
  • Schmidt, G., Ruster R. , and Czechowsky P. , 1979: Complementary code and digital filtering for detection of weak VHF radar signals from the mesosphere. IEEE Trans. Geosci. Electron., GE-17, 154161.

    • Search Google Scholar
    • Export Citation
  • 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., and Wuertz D. B. , 1991: Quality control algorithm for profiler measurements of winds and temperatures. NOAA Tech. Memo. ERL WPL-212, 32 pp.

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

    • Search Google Scholar
    • Export Citation
  • Williams, C. R., Ecklund W. L. , and Gage K. S. , 1995: Classification of precipitating clouds in the tropics using 915-MHz wind profilers. J. Atmos. Oceanic Technol., 12, 9961012.

    • Search Google Scholar
    • Export Citation
  • Woodman, R. F., 1985: Spectral moment estimation in MST radars. Radio Sci., 20, 11851195.

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