Differential Reflectivity Calibration for Operational Radars

R. Bechini Arpa Piemonte—Area Previsione e Monitoraggio Ambientale, Torino, Italy

Search for other papers by R. Bechini in
Current site
Google Scholar
PubMed
Close
,
L. Baldini Institute of Atmospheric Sciences and Climate (CNR), Rome, Italy

Search for other papers by L. Baldini in
Current site
Google Scholar
PubMed
Close
,
R. Cremonini Arpa Piemonte—Area Previsione e Monitoraggio Ambientale, Torino, Italy

Search for other papers by R. Cremonini in
Current site
Google Scholar
PubMed
Close
, and
E. Gorgucci Institute of Atmospheric Sciences and Climate (CNR), Rome, Italy

Search for other papers by E. Gorgucci in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

The conventional technique for calibrating Zdr using natural scatterers is based on vertical-looking observations. In some operational weather radar, this method is not applicable because of mechanical constraints that prohibit vertical measurement or choices in the scanning strategies. A technique for calibrating Zdr based on properties of rain returns is proposed and analyzed. The technique is based on an examination of properties of differential reflectivity measurements collected at increasing elevations. Differential reflectivity observed in rain decreases with increasing elevation due to the increasing view angle. Using the hypothesis of uniform microphysical profiles below the bright band, deviations of the profile of differential reflectivity with elevation with respect to the theoretical profile can be used to detect and quantify the presence of a bias on differential reflectivity. To apply this concept in the presence of a nonuniform microphysical profile, the contribution of vertical changes in microphysics to Zdr variation in height is also accounted for. An error parameter associated with the estimated Zdr bias can be used as a quality indicator of the bias estimation; it allows definition of a criterion based on a threshold of root-mean-square error that permits acceptance or rejection of a Zdr bias estimation obtained with the proposed method. The technique is demonstrated using data collected by an operational weather radar at Arpa Piemonte (Italy) and evaluated using independent disdrometer measurement. Results show that under certain conditions discussed in the paper, this method can provide Zdr calibration within an accuracy of 0.1 dB.

Corresponding author address: Renzo Bechini, Arpa Piemonte—Area Previsione e Monitoraggio Ambientale, Corso Unione Sovietica, 216, Torino 10134, Italy. Email: r.bechini@arpa.piemonte.it

Abstract

The conventional technique for calibrating Zdr using natural scatterers is based on vertical-looking observations. In some operational weather radar, this method is not applicable because of mechanical constraints that prohibit vertical measurement or choices in the scanning strategies. A technique for calibrating Zdr based on properties of rain returns is proposed and analyzed. The technique is based on an examination of properties of differential reflectivity measurements collected at increasing elevations. Differential reflectivity observed in rain decreases with increasing elevation due to the increasing view angle. Using the hypothesis of uniform microphysical profiles below the bright band, deviations of the profile of differential reflectivity with elevation with respect to the theoretical profile can be used to detect and quantify the presence of a bias on differential reflectivity. To apply this concept in the presence of a nonuniform microphysical profile, the contribution of vertical changes in microphysics to Zdr variation in height is also accounted for. An error parameter associated with the estimated Zdr bias can be used as a quality indicator of the bias estimation; it allows definition of a criterion based on a threshold of root-mean-square error that permits acceptance or rejection of a Zdr bias estimation obtained with the proposed method. The technique is demonstrated using data collected by an operational weather radar at Arpa Piemonte (Italy) and evaluated using independent disdrometer measurement. Results show that under certain conditions discussed in the paper, this method can provide Zdr calibration within an accuracy of 0.1 dB.

Corresponding author address: Renzo Bechini, Arpa Piemonte—Area Previsione e Monitoraggio Ambientale, Corso Unione Sovietica, 216, Torino 10134, Italy. Email: r.bechini@arpa.piemonte.it

Save
  • Al-Khatib, H. H., Seliga T. A. , and Bringi V. N. , 1979: Differential reflectivity and its use in the radar measurement of rainfall. Ohio State University Atmos. Sci. Prog. Rep. AS-S-106, 131 pp.

  • Andsager, K., Beard K. V. , and Laird N. F. , 1999: Laboratory measurements of axis ratios for large raindrops. J. Atmos. Sci., 56 , 26732683.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Atlas, D., 2002: Radar calibration—Some simple approaches. Bull. Amer. Meteor. Soc., 83 , 13131316.

  • Aydin, K., Zhao Y. , and Seliga T. A. , 1989: Rain-induced attenuation effects on C-band dual-polarization meteorological radars. IEEE Trans. Geosci. Remote Sens., 27 , 5766.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Beard, K. V., and Chuang C. , 1987: A new model for the equilibrium shape of raindrops. J. Atmos. Sci., 44 , 15091524.

  • Bringi, V. N., and Chandrasekar V. , 2001: Polarimetric Doppler Weather Radar: Principles and Applications. Cambridge University Press, 648 pp.

    • Search Google Scholar
    • Export Citation
  • Bringi, V. N., Chandrasekar V. , Balakrishnan N. , and Zrnić D. S. , 1990: An examination of propagation effects in rainfall at microwave frequencies. J. Atmos. Oceanic Technol., 7 , 829840.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Do Khac, K., Zanghi F. , and Tabary P. , 2004: Radar–disdrometer comparison. Proc. Third European Conf. on Radar Meteorology and Hydrology (ERAD), Visby, Sweden, Copernicus GmbH, 272–277.

  • Efron, B., and Tibshirani R. J. , 1993: An Introduction to the Bootstrap. Chapman & Hall, 450 pp.

  • Gorgucci, E., Scarchilli G. , and Chandrasekar V. , 1992: Calibration of radars using polarimetric techniques. IEEE Trans. Geosci. Remote Sens., 30 , 853858.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gorgucci, E., Scarchilli G. , Chandrasekar V. , Meishner P. , and Hagen M. , 1998: Intercomparison of techniques to correct for attenuation of C-band weather radar signals. J. Appl. Meteor., 37 , 845853.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gorgucci, E., Scarchilli G. , and Chandrasekar V. , 1999: A procedure to calibrate multiparameter weather radar using properties of the rain medium. IEEE Trans. Geosci. Remote Sens., 37 , 269276.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hubbert, J. C., Bringi V. N. , and Brunkow D. , 2003: Studies of the polarimetric covariance matrix. Part I: Calibration methodology. J. Atmos. Oceanic Technol., 20 , 696706.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Liu, H., and Chandrasekar V. , 2000: Classification of hydrometeors based on polarimetric radar measurements: Development of fuzzy logic and neuro-fuzzy systems, and in situ verification. J. Atmos. Oceanic Technol., 17 , 140164.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Ryzhkov, V. R., Giangrande S. E. , Melnikov V. M. , and Schuur T. J. , 2005: Calibration issues of dual-polarization radar measurements. J. Atmos. Oceanic Technol., 22 , 11381155.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Scarchilli, G., Gorgucci E. , Chandrasekar V. , and Dobaie A. , 1996: Self-consistency of polarization diversity measurement of rainfall. IEEE Trans. Geosci. Remote Sens., 34 , 2226.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Seliga, T. A., Bringi V. N. , and Al-Khatib H. H. , 1979: Differential reflectivity measurements in rain: First experiments. IEEE Trans. Geosci. Electron., 17 , 240244.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Smyth, T. J., and Illingworth A. J. , 1998: Correction for attenuation of radar reflectivity using polarization data. Quart. J. Roy. Meteor. Soc., 124 , 23932415.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Ulbrich, C. W., and Atlas D. , 1998: Rainfall microphysics and radar properties: Analysis methods for drop size spectra. J. Appl. Meteor., 37 , 912923.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zrnić, D. S., Melnikov V. M. , and Carter J. K. , 2006: Calibrating differential reflectivity on the WSR-88D. J. Atmos. Oceanic Technol., 23 , 944951.

    • Crossref
    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 425 108 11
PDF Downloads 309 82 11