Skip to main content

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

  • Conference paper
  • First Online:
Book cover Communications, Signal Processing, and Systems (CSPS 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 517))

  • 2341 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  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)

    Google Scholar 

  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)

    Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiao-yi Wang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wang, Xy., Su, Db. (2020). Sensitivity of Radar Variables to Signal-to-Noise Ratio in Dual-Polarization Weather Radar. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 517. Springer, Singapore. https://doi.org/10.1007/978-981-13-6508-9_89

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-6508-9_89

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6507-2

  • Online ISBN: 978-981-13-6508-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics