• Baron Services Inc., 2008: WSR-88D dual-polarization program. Signal Processing White Paper BS-2000-030-202 Revision D, 45 pp.

  • Chiuppesi, F., , Galati G. , , and Lombardi P. , 1980: Optimisation of rejection filters. IEE Proc. F: Commun. Radar Signal Process., 127, 354360.

    • Search Google Scholar
    • Export Citation
  • Curtis, C., , and Torres S. , 2011: Adaptive range oversampling to achieve faster scanning on the National Weather Radar Testbed Phased-Array Radar. J. Atmos. Oceanic Technol., 28, 15811597, doi:10.1175/JTECH-D-10-05042.1.

    • Search Google Scholar
    • Export Citation
  • Curtis, C., , and Torres S. , 2013: Real-time measurement of the range correlation for range oversampling processing. J. Atmos. Oceanic Technol., 30, 28852895, doi:10.1175/JTECH-D-13-00090.1.

    • Search Google Scholar
    • Export Citation
  • Doviak, R. J., , and Zrnić D. S. , 1993: Doppler Radar and Weather Observations. Academic Press, 562 pp.

  • Torres, S., 2009: Processing of oversampled signals in range on polarimetric weather radars with mismatched channels. J. Atmos. Oceanic Technol., 26, 12891301, doi:10.1175/2009JTECHA1209.1.

    • Search Google Scholar
    • Export Citation
  • Torres, S., , and Curtis C. , 2012: The impact of signal processing on the range weighting function for weather radars. J. Atmos. Oceanic Technol., 29, 796806, doi:10.1175/JTECH-D-11-00135.1.

    • Search Google Scholar
    • Export Citation
  • Torres, S., , and Zrnić D. , 2003a: Whitening in range to improve weather radar spectral moment estimates. Part I: Formulation and simulation. J. Atmos. Oceanic Technol., 20, 14331448, doi:10.1175/1520-0426(2003)020<1433:WIRTIW>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Torres, S., , and Zrnić D. , 2003b: Whitening of signals in range to improve estimates of polarimetric variables. J. Atmos. Oceanic Technol., 20, 17761789, doi:10.1175/1520-0426(2003)020<1776:WOSIRT>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Torres, S., , Curtis C. , , and Cruz J. R. , 2004: Pseudowhitening of weather radar signals to improve spectral moment and polarimetric variable estimates at low signal-to-noise ratios. IEEE Trans. Geosci. Remote Sens., 42, 941949, doi:10.1109/TGRS.2004.825579.

    • Search Google Scholar
    • Export Citation
  • Zrnić, D., 1975: Simulation of weatherlike Doppler spectra and signals. J. Appl. Meteor., 14, 619620, doi:10.1175/1520-0450(1975)014<0619:SOWDSA>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 9 9 1
PDF Downloads 6 6 0

Adaptive Range Oversampling to Improve Estimates of Polarimetric Variables on Weather Radars

View More View Less
  • 1 Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, and NOAA/OAR/National Severe Storms Laboratory, Norman, Oklahoma
© Get Permissions
Restricted access

Abstract

One way to reduce the variance of meteorological-variable estimates on weather radars without increasing dwell times is by using range oversampling techniques. Such techniques could significantly improve the estimation of polarimetric variables, which typically require longer dwell times to achieve the desired data quality compared to the single-polarization spectral moments. In this paper, an efficient implementation of adaptive pseudowhitening that was developed for single-polarization radars is extended for dual polarization. Adaptive pseudowhitening maintains the performance of pure whitening at high signal-to-noise ratios and equals or outperforms the digital matched filter at low signal-to-noise ratios. This approach results in improvements for polarimetric-variable estimates that are consistent with the improvements for spectral-moment estimates described in previous work. The performance of the proposed technique is quantified using simulations that show that the variance of polarimetric-variable estimates can be reduced without modifying the scanning strategies. The proposed technique is applied to real weather data to validate the expected improvements that can be realized operationally.

Corresponding author address: Christopher Curtis, National Weather Center, 120 David L. Boren Blvd., Norman, OK 73072. E-mail: chris.curtis@noaa.gov

Abstract

One way to reduce the variance of meteorological-variable estimates on weather radars without increasing dwell times is by using range oversampling techniques. Such techniques could significantly improve the estimation of polarimetric variables, which typically require longer dwell times to achieve the desired data quality compared to the single-polarization spectral moments. In this paper, an efficient implementation of adaptive pseudowhitening that was developed for single-polarization radars is extended for dual polarization. Adaptive pseudowhitening maintains the performance of pure whitening at high signal-to-noise ratios and equals or outperforms the digital matched filter at low signal-to-noise ratios. This approach results in improvements for polarimetric-variable estimates that are consistent with the improvements for spectral-moment estimates described in previous work. The performance of the proposed technique is quantified using simulations that show that the variance of polarimetric-variable estimates can be reduced without modifying the scanning strategies. The proposed technique is applied to real weather data to validate the expected improvements that can be realized operationally.

Corresponding author address: Christopher Curtis, National Weather Center, 120 David L. Boren Blvd., Norman, OK 73072. E-mail: chris.curtis@noaa.gov
Save