Editorial Type:
Article
Article Type:
Research Article

Spectrum Widths from Echo Power Differences Reveal Meteorological Features

Valery M. Melnikov Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, Oklahoma

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Richard J. Doviak NOAA/National Severe Storms Laboratory, Norman, Oklahoma

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Print Publication:
01 Nov 2002
DOI:
https://doi.org/10.1175/1520-0426(2002)019<1793:SWFEPD>2.0.CO;2
Page(s):
1793–1810
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Abstract

A new Doppler spectrum width estimator using the absolute power differences (APDs) at lag one is presented, and its performance is evaluated using simulated signals as well as those recorded from the National Severe Storms Laboratory's Research and Development WSR-88D. The APD estimate bias, its standard error of estimation, and the frequency of complex widths are compared with that obtained with other single lag estimators [e.g., the pulse-pair logarithm (PPL) estimator]. For narrow spectra and signal-to-noise ratios more than 15 dB, the APD estimator has lower bias, lower standard deviation, and a lesser number of complex width estimates than the PPL estimator. Spectrum width fields, observed when this estimate technique is applied to the logarithms of echo power from an X-band radar, reveal meteorologically significant features that are not often seen in weather radar displays in regions of relatively small spectrum widths.

Corresponding author address: Dr. Valery M. Melnikov, CIMMS, University of Oklahoma, 1313 Halley Circle, Norman, OK 73069. Email: Valery.Melnikov@nssl.noaa.gov

Abstract

A new Doppler spectrum width estimator using the absolute power differences (APDs) at lag one is presented, and its performance is evaluated using simulated signals as well as those recorded from the National Severe Storms Laboratory's Research and Development WSR-88D. The APD estimate bias, its standard error of estimation, and the frequency of complex widths are compared with that obtained with other single lag estimators [e.g., the pulse-pair logarithm (PPL) estimator]. For narrow spectra and signal-to-noise ratios more than 15 dB, the APD estimator has lower bias, lower standard deviation, and a lesser number of complex width estimates than the PPL estimator. Spectrum width fields, observed when this estimate technique is applied to the logarithms of echo power from an X-band radar, reveal meteorologically significant features that are not often seen in weather radar displays in regions of relatively small spectrum widths.

Corresponding author address: Dr. Valery M. Melnikov, CIMMS, University of Oklahoma, 1313 Halley Circle, Norman, OK 73069. Email: Valery.Melnikov@nssl.noaa.gov

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  • Atlas, D., 1964: Advances in radar meteorology. Advances in Geophysics, Vol. 10, Academic Press, 317–478.

  • Atlas, D., Srivastava R. C. , and Sekhon R. C. , 1973: Doppler radar characteristics of precipitation at vertical incidence. Rev. Geophys. Space Phys., 1 , 1–35.

    • Search Google Scholar
    • Export Citation

  • Chornoboy, E. S., 1993: Optimal mean velocity estimation for Doppler weather radar. IEEE Trans., GRS-31 , 575–586.

  • Cornman, L. B., Goodrich R. K. , Frehlich R. , Sharman B. , and Beagley N. , 1999: The detection of convective turbulence from airborne Doppler radar. Preprints, 29th Conf. on Radar Meteorology, Montreal, QC, Canada, Amer. Meteor. Soc., 776–779.

    • Search Google Scholar
    • Export Citation

  • Dias, J. M. B., and Leitao J. M. N. , 2000: Non parametric estimation of mean Doppler and spectral width. IEEE Trans., GRS-38 , 271–282.

    • Search Google Scholar
    • Export Citation

  • Doviak, R. J., and Zrnić D. S. , 1993: Doppler Radar and Weather Observations. 2d ed. Academic Press, 562 pp.

  • Fang, M., and Doviak R. J. , 2001a: Relating WSR-88D spectrum width data to various weather conditions. Preprints, 30th Int. Conf. on Radar Meteorology, Munich, Germany, Amer. Meteor. Soc., 382–384.

    • Search Google Scholar
    • Export Citation

  • Fang, M., and Doviak R. J. , 2001b: Spectrum width statistics of various weather phenomena. NSSL Internal Report, 62 pp. [Available from National Severe Storms Laboratory, 1313 Halley Circle, Norman, OK 73069.].

    • Search Google Scholar
    • Export Citation

  • Istok, M. J., and Doviak R. J. , 1986: Analysis of the relation between Doppler spectral width and thunderstorm turbulence. J. Atmos. Sci., 43 , 2199–2214.

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Lee, J. T., 1977: Application of Doppler radar to turbulence measurements which affect aircraft. FAA Rep. FAA-RD-77-145. FAA Syst. Res. Dev. Serv., Washington, DC, 45 pp.

    • Search Google Scholar
    • Export Citation

  • Lemon, L. R., 1999: Operational uses of velocity spectrum width data. Preprints, 29th Conf. on Radar Meteorology, Montreal, QC, Canada, Amer. Meteor. Soc., 776–779.

    • Search Google Scholar
    • Export Citation

  • Mahapatra, P., 1999: Aviation Weather Surveillance Systems. IEE Radar, Sonar, Navigation, and Avionics Series, Vol. 8, IEE and AIAA, 458 pp.

    • Search Google Scholar
    • Export Citation

  • Martner, B. E., and Battan L. J. , 1976: Calculation of Doppler radar velocity spectrum parameters for a mixture of rain and hail. J. Appl. Meteor., 15 , 491–498.

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Middleton, D., 1960: An Introduction to Statistical Communication Theory. McGraw-Hill, 1140 pp.

  • Rummler, W. D., 1968: Two pulse spectral measurements. Tech. Memo. MM-68-4121-15, Bell Telephone Labs, Whippany, NJ, 20 pp.

  • Rutkowski, W., and Fleisher A. , 1955: R-meter: An instrument for measuring gushiness. MIT Weather Radar Research Rep. 24, 35 pp.

  • Sachidananda, M., Zrnić D. S. , and Doviak R. J. , 2001: Signal design and processing techniques for WSR-88D ambiguity resolution part-5: Some investigations. National Severe Storms Laboratory Report, Norman, OK, 75 pp.

    • Search Google Scholar
    • Export Citation

  • Sirmans, D., Guenther R. , and Windes J. , 1997: Supplement to the April 17, 1997 Interim Summary: Engineering study of spectrum width anomaly. NWS Operational Support Facility, Norman, OK, 7 pp.

    • Search Google Scholar
    • Export Citation

  • Zrnić, D. S., 1975: Simulations of weatherlike Doppler spectra and signals. J. Appl. Meteor., 14 , 619–620.

  • Zrnić, D. S., 1979a: Estimation of spectral moments for weather echoes. IEEE Trans. Geosci. Electron., GE-17 , 113–128.

  • Zrnić, D. S., 1979b: Spectrum width estimates for weather echoes. IEEE Trans. Aerosp. Electron. Syst., AES-15 , 613–619.

  • Zrnić, D. S., and Doviak R. J. , 1989: Effect of drop oscillation on spectral moments and differential reflectivity measurements. J. Atmos. Oceanic Technol., 6 , 532–536.

    • Crossref
    • Search Google Scholar
    • Export Citation
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