Evaluating the Effects of Height-Variable Reflectivity and Antenna Sidelobes on the Radar Equation

Edwin F. Campos Meteorological Research Division, Environment Canada, Toronto, Ontario, Canada

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Wayne Hocking Department of Physics, University of Western Ontario, London, Ontario, Canada

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Frédéric Fabry Department of Atmospheric and Oceanic Sciences, McGill University, Montreal, Quebec, Canada

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Abstract

Using radar observations to quantify precipitation intensity requires the intervention of the radar equation, which converts the precipitation signal into reflectivity units. This equation generally assumes that the reflectivity is uniform within each sampling gate and that the sidelobes of the antenna pattern are negligible. The purpose here is to provide a more realistic approach that eliminates these assumptions when computing profiles of precipitation intensity (by using a height-variable reflectivity and antenna pattern of significant sidelobes to compute profiles of a radar reflectivity factor). To achieve this, simultaneous observations of collocated vertically pointing radars operating in the VHF and X bands were obtained. Raindrop measurements were used to correct for attenuation in the precipitation signal at the X band. Then the precipitation signal in the VHF radar was simulated by combining this X-band signal and the VHF antenna pattern into a general version of the radar equation. The simulated precipitation signal at VHF compares well with actual measurements of the rain signal (range gates centered at 2.5, 3.0, and 3.5 km) by the VHF radar, and this validates the analysis methods. In conclusion, the analysis indicates that VHF reflectivity at gates above the melting layer is artificially enhanced by the precipitation signal collected in the sidelobe direction. Similar enhancement will be expected wherever there is a strong vertical gradient of reflectivity (i.e., on the order of 10 dB km−1 or larger).

Corresponding author address: Dr. Edwin Campos, Environment Canada–ARMP/MRD/STB, 4905 Dufferin Street, Toronto, ON M3H 5T4, Canada. Email: edwin.campos@ec.gc.ca

This article included in the Fifth International Symposium on Tropospheric Profiling (ISTP) special collection.

Abstract

Using radar observations to quantify precipitation intensity requires the intervention of the radar equation, which converts the precipitation signal into reflectivity units. This equation generally assumes that the reflectivity is uniform within each sampling gate and that the sidelobes of the antenna pattern are negligible. The purpose here is to provide a more realistic approach that eliminates these assumptions when computing profiles of precipitation intensity (by using a height-variable reflectivity and antenna pattern of significant sidelobes to compute profiles of a radar reflectivity factor). To achieve this, simultaneous observations of collocated vertically pointing radars operating in the VHF and X bands were obtained. Raindrop measurements were used to correct for attenuation in the precipitation signal at the X band. Then the precipitation signal in the VHF radar was simulated by combining this X-band signal and the VHF antenna pattern into a general version of the radar equation. The simulated precipitation signal at VHF compares well with actual measurements of the rain signal (range gates centered at 2.5, 3.0, and 3.5 km) by the VHF radar, and this validates the analysis methods. In conclusion, the analysis indicates that VHF reflectivity at gates above the melting layer is artificially enhanced by the precipitation signal collected in the sidelobe direction. Similar enhancement will be expected wherever there is a strong vertical gradient of reflectivity (i.e., on the order of 10 dB km−1 or larger).

Corresponding author address: Dr. Edwin Campos, Environment Canada–ARMP/MRD/STB, 4905 Dufferin Street, Toronto, ON M3H 5T4, Canada. Email: edwin.campos@ec.gc.ca

This article included in the Fifth International Symposium on Tropospheric Profiling (ISTP) special collection.

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  • Campos, E. F., 2006: Analyses of precipitation signal using VHF vertically pointing radar. Ph.D. dissertation, Dept. of Atmospheric and Oceanic Sciences, McGill University, 188 pp.

  • Campos, E., and Zawadzki I. , 2000: Instrumental uncertainties in ZR relations. J. Appl. Meteor., 39 , 10881102.

  • Campos, E. F., Fabry F. , and Hocking W. , 2007: Precipitation measurements using VHF wind profiler radars: Measuring rainfall and vertical air velocities using only observations with a VHF radar. Radio Sci., 42 .RS3003, doi:10.1029/2006RS003540.

    • Search Google Scholar
    • Export Citation
  • Cohn, S. A., Rogers R. R. , Jascourt S. , Ecklund W. L. , Carter D. A. , and Wilson J. S. , 1995: Interactions between clear-air reflective layers and rain observed with a boundary layer wind profiler. Radio Sci., 30 , 323341.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Fabry, F., 1996: On the determination of scale ranges for precipitation fields. J. Geophys. Res., 101 , 1281912826.

  • Gage, K. S., Williams C. R. , Johnston P. E. , Ecklund W. L. , Cifelli R. , Tokay A. , and Carter D. A. , 2000: Doppler radar profilers as calibration tools for scanning radars. J. Appl. Meteor., 39 , 22092222.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hocking, W. K., 1985: Measurement of turbulent energy dissipation rates in the middle atmosphere by radar techniques: A review. Radio Sci., 20 , 14031422.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hocking, W. K., and Vincent R. A. , 1982: Comparative observations of D- region HF partial reflections at 2 and 6 MHz. J. Geophys. Res., 87 , 76157624.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hocking, W. K., and Roettger J. , 1983: Pulse length dependence of radar signal strengths for Fresnel backscatter. Radio Sci., 18 , 13121324.

  • McDonald, A. J., Carey-Smith T. K. , Hooper D. A. , Fraser G. J. , and Lublow B. P. , 2004: The effect of precipitation on wind-profiler clear air returns. Ann. Geophys., 22 , 39593970.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • McDonald, A. J., Monahan K. P. , Hooper D. A. , and Gaffard C. , 2006: VHF signal power suppression in stratiform and convective precipitation. Ann. Geophys., 24 , 2335.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Rinehart, R. E., 1997: Radar for Meteorologist. 3rd ed. Rinehart Publications, 428 pp.

  • Rogers, R. R., 1967: Doppler radar investigation of Hawaiian rain. Tellus, 19 , 432455.

  • Rogers, R. R., 1971: The effect of variable target reflectivity on weather radar measurements. Quart. J. Roy. Meteor. Soc., 97 , 154167.

  • Sheppard, B. E., 1990: Measurement of raindrop size distributions using a small Doppler radar. J. Atmos. Oceanic Technol., 7 , 255268.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Smith, P. L., 1984: Equivalent radar reflectivity factors for snow and ice particles. J. Climate Appl. Meteor., 23 , 12581260.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Williams, C. R., Gage K. S. , Clark W. , and Kucera P. , 2005: Monitoring the reflectivity calibration of a scanning radar using a profiling radar and a disdrometer. J. Atmos. Oceanic Technol., 22 , 10041018.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zawadzki, I., 1982: The quantitative interpretation of weather radar measurements. Atmos.–Ocean, 20 , 158180.

  • Zawadzki, I., Fabry F. , and Szyrmer W. , 2001: Observations of supercooled water and secondary ice generation by a vertically pointing X-band Doppler radar. Atmos. Res., 59–60 , 343359.

    • Search Google Scholar
    • Export Citation
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