Advertisement

Sensitivity of Radar Variables to Signal-to-Noise Ratio in Dual-Polarization Weather Radar

  • Xiao-yi WangEmail author
  • De-bin Su
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 517)

Abstract

Dual-polarization Doppler weather radar variables such as differential reflectivity (ZDR), differential propagation phase shift (ΦDP), specific differential phase (KDP), and the co-polar correlation coefficient (ρHV), which are closely related to the characteristic of hydrometeors. The precision of these variables determines the accuracy for quantitative precipitation estimation (QPE) and hydrometeor classification. By analyzing the relationship between the polarimetric radar variables and the signal-to-noise ratio (SNR), it is found that when the SNR decreases to a certain threshold, polarimetric variables become more sensitive to the decrease in the SNR, and the precision of these variables become deteriorated with the decrease of the SNR. This threshold usually is closely related to the radar performance, for the X-band dual-polarization radar used in this paper, the SNR threshold is about 20 dB. The results of this study can provide some reference for radar system performance evaluation and data quality control.

Keywords

Dual-polarization Doppler weather radar The Signal-to-Noise ratio Radar performance 

References

  1. 1.
    Aydin, K., Seliga, T.A., Balaji, V.: Remote sensing of hail with a dual linear polarization radar. J. Clim. Appl. Meteorol. 25(10), 1475–1484 (1986)CrossRefGoogle Scholar
  2. 2.
    Straka, J.M., Zrni, D.S., Ryzhkov, A.V.: Bulk hydrometeor classification and quantification using polarimetric radar data: synthesis of relations. J. Appl. Meteorol. 39(8), 1341–1372 (2000)CrossRefGoogle Scholar
  3. 3.
    Lei, L., Zhang, G., Doviak, R.J., et al.: Multilag correlation estimators for polarimetric radar measurements in the presence of noise. J. Atmos. Ocean. Technol. 29(6), 772–795 (2012)CrossRefGoogle Scholar
  4. 4.
    Lim, S., Cifelli, R., Chandrasekar, V., et al.: Precipitation classification and quantification using X-band dual-polarization weather radar: application in the hydrometeorology testbed. J. Atmos. Ocean. Technol. 30(9), 2108–2120 (2013)CrossRefGoogle Scholar
  5. 5.
    Zhao, G., Wan, Z., Jia, W., et al.: Research on effective detection range of dual-polarization weather radar. J. Plateau Meteorol. 35(1), 244–250 (2016)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.School of Electronic EngineeringChengdu University of Information TechnologyChengduChina

Personalised recommendations