Skip to main content

Typhoon Wind Speed Observation Utilizing Reflected Signals from BeiDou GEO Satellites

  • Conference paper
  • First Online:
China Satellite Navigation Conference (CSNC) 2014 Proceedings: Volume I

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 303))

Abstract

Typhoon monitoring utilizing reflected GNSS signals is a new application of GNSS-R technique. Coastal observations are an efficient way for the model of geophysical parameters retrieval in Typhoon and identified as a promising complementary technique with respect to the satellite instruments. However, the relationship between GNSS-R observables and the sea surface wind speed in Typhoon could not be fully described through theoretical models for the coastal regions. Meanwhile the instability of the coastal GNSS-R geometry makes it difficult to optimize an empirically calibrated model. The BeiDou GEO satellites could provide stable geometry and better coverage capability in mid- and low-latitude region where most of the typhoons occur. Based on this consideration, ocean reflected signals from BeiDou GEO satellites are exploited for coastal Typhoon observation in this paper. The relationship between reflected waveform parameters, such as coherent time, and the ocean geophysics parameters, such as wind speed is analysed. Preliminary analysis of the BeiDou reflected signal collected during the TIGRIS experiment shows good agreement between the GNSS-R measured wind speeds and the in situ measurements, the average deviation is 1.6 m/s with the root-mean-square error of 2.4 m/s.

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 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
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. Martin-Neira M (1993) A passive reflectometry and interferometry system (PARIS)—application to ocean altimetry. ESA J 17(4):331–355

    Google Scholar 

  2. Garrison JL, Katzberg SJ, Hill MI (1998) Effect of sea roughness on bistatically scattered range coded signals from the global positioning system. Geophysical Research Letter 25(13):2257–2260

    Article  Google Scholar 

  3. Katzberg SJ, Torres O, Grant MS et al (2006) Utilizing calibrated GPS reflected signals to estimate soil reflectivity and dielectric constant: Results from SMEX02. Remote Sens Environ 100(1):17–28

    Article  Google Scholar 

  4. Fabra F, Cardellach E, Rius A et al (2011) Phase altimetry with dual polarization GNSS-R over sea ice. IEEE Trans Geosci Remote Sens 50(6):2112–2121

    Article  Google Scholar 

  5. Katzberg SJ, Torres O, Ganoe GG (2006) Calibration of reflected GPS for tropical storm wind speed retrievals. Geophys Res Lett 33:L18602

    Article  Google Scholar 

  6. Zavorotny VU, Voronovich AG (2000) Scattering of GPS signals from the ocean with wind remote sensing application. IEEE Trans Geosci Remote Sens 38(2):951–964

    Article  Google Scholar 

  7. Gleason S, Hodgart S, Sun Y et al (2000) Detection and processing of bistatically reflected gps signals from low earth orbit for the purpose of ocean remote sensing. IEEE Trans Geosci Remote Sens 43(6):1229–1241

    Article  Google Scholar 

  8. Ruf C, Lyons A, Unwin M et al (2013) CYGNSS: enabling the future of hurricane prediction [remote sensing satellites]. IEEE Geosci Remote Sens Mag 1(2):52–67

    Article  Google Scholar 

  9. Li WQ, Yang DK, Zhang B et al (2011) Real-time processing of reflected GNSS signals for remote sensing: system and experiments. J Navig 64(S1):127–140

    Article  Google Scholar 

  10. Wang X, Sun Q, Zhang XJ et al (2008) First China ocean reflection experiment using coastal GNSS-R. Chin Sci Bull 53(7):1117–1120

    Article  Google Scholar 

  11. Li WQ, Martin-Neira M, D’Addio S (2013) Typhoon Observations with the PARIS In-Orbit Demonstration Mission. Geophys Res Abstr 15, EGU2013-10395

    Google Scholar 

  12. Li H, Xia Q, Yin C et al (2013) The current status of research on GNSS-R remote sensing technology in China and future development. J Radars 2(4):389–399

    Article  Google Scholar 

  13. Valencia E, Camps A, Marchan-Hernandez JF et al (2010) Experimental determination of the sea correlation time using GNSS-R coherent data. IEEE Geosci Remote Sens Lett 7(4):675–679

    Article  Google Scholar 

  14. Cardellach E, Rius A, Martín-Neira M et al (2013) Consolidating the precision of interferometric GNSS-R ocean altimetry using airborne experimental data. IEEE Trans Geosci Remote Sens . doi:10.1109/TGRS.2013.2286257

    Google Scholar 

  15. Frasier SJ, Camps A (2001) Dual-beam interferometry for ocean surface current vector mapping. IEEE Trans Geosci Remote Sens 39(2):401–414

    Article  Google Scholar 

  16. Digital Typhoon: Typhoon Images and Information. http://agora.ex.nii.ac.jp/digital-typhoon/index.html.en, 2013

Download references

Acknowledgments

The authors would like to thank Prof. Xia Qing and Prof. Li Huang from China Meteorological Administration during the experiment and the preparation of this paper. The authors would also like to acknowledge the support of colleagues at Guangdong Meteorological Administration and Shenzhen Meteorological Administration during the experiment. The work of W. Li was supported by China Postdoctoral Science Foundation funded project (2013M530513). This work was supported in part by the National High Technology Research and Development Program of China (863 Program) (SS2013AA120602) and the BeiDou Application Program (GFZX03030303).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Weiqiang Li .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Li, W., Yang, D., Fabra, F., Cao, Y., Yang, W. (2014). Typhoon Wind Speed Observation Utilizing Reflected Signals from BeiDou GEO Satellites. In: Sun, J., Jiao, W., Wu, H., Lu, M. (eds) China Satellite Navigation Conference (CSNC) 2014 Proceedings: Volume I. Lecture Notes in Electrical Engineering, vol 303. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54737-9_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-54737-9_18

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54736-2

  • Online ISBN: 978-3-642-54737-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics