TELECOMMUNICATIONS AND RADIO ENGINEERING - 2011 Vol. 70,
No 7
 

 

 

 

DOPPLER-POLARIMETRIC RADAR METEOROLOGICAL APPLICATIONS



F. Yanovsky & Yu. Averyanova
National Aviation University
1, Komarova Ave., Kiev, 03680, Ukraine
Address all correspondence to F. Yanovsky E-mail: yanovsky@i.com.ua

Abstract
This paper is an overview of Doppler-polarimetric methods and means for remote sensing of atmosphere used for detecting and predicting dangerous weather phenomena zones along the route of the airplane. In addition to such traditional phenomena as turbulence, hail, icing-in-flight and thunderstorm, the approaches to distinguish areas of volcano dust is also included into consideration.

KEY WORDS: the Doppler-polarimetric method, ground-based and airborne radar, signal processing

References

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  2. Yanovsky, F.J., (2006), Airborne Weather Radar as Instrument for Remote Sensing of the Atmosphere, Proceedings European Radar Conference, Manchester, pp. 162-165.
  3. Yanovsky, F.J., Prokopenko, I.G., and Ligthart, L.P., (2006), Radar turbulence detection: Statistical synthesis and experimental check of adaptive algorithms, Proceedings of SPIE - The International Society for Optical Engineering, 6159 I, art. no. 61591A, pp. 322-329.
  4. Yanovsky, F.J., (1996), Simulation study of 10 GHz radar backscattering from clouds, and solution of the inverse problem of atmospheric turbulence measurements, IEE Conference Publication, pp. 188-193.
  5. Yanovsky, F.J., (2007), Doppler-polarimetric approach to microwave remote sensing of precipitation, MSMW'07 Symposium Proceedings - The 6th International Kharkov Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves and Workshop on Terahertz Technologies, 1:436-438.
  6. Yanovsky, F.J. and Ligthart, L.P., (2007), Microwave scattering on atmospheric particles,
    6th International Conference on Antenna Theory and Techniques, ICATT'07, pp. 26-31.
  7. Marchuk, V.V. and Yanovsky, F.J., (2007), Analysis of interconnection between doppler-polarimetric parameter and turbulence intensity in precipitation zone, Telecommunications and Radio Engineering, 66(10):863-870.
  8. Yanovsky, F.J., Unal, C.M.H., Russchenberg, H.W.J., and Ligthart, L.P., (2007), Doppler-polarimetric weather radar: Returns from wide spread precipitation, Telecommunications and Radio Engineering, 66(8):715-727.
  9. Yanovsky, F.J., Russchenberg, H.W.J., and Unal, C.M.H., (2005), Retrieval of information about turbulence in rain by using Doppler-polarimetric radar, IEEE Transactions on Microwave Theory and Techniques, 53(2):444-449.
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  12. Yanovsky, F.J., Sinitsyn, R.B., and Braun, I.M., (2005), Reliability of detection of radar signals from hailstones by using parametric and non-parametric algorithms, EURAD 2005 Conference Proceedings 2nd European Radar Conference 2005, pp. 137-140.
  13. Ostrovsky, Ya.P. and Yanovsky, F.J., (2006), Precipitation and turbulence intensity classification based on the polarimetric doppler radar data analysis, Telecommunications and Radio Engineering, 65(12):1077-1085.
  14. Yanovsky, F.J. and Pitertsev, A.A., (2007), Advanced algorithm for radar detection of icing. Calculation of polarimetric observables, Telecommunications and Radio Engineering, 66(16):1465-1471.
  15. Pitertsev, A.A. and Yanovsky, F.J., (2007), Polarimetric approach to detection of probable aircraft icing zones. Icing detection algorithms, European Radar Conference, EURAD, pp. 271-274.
  16. Yanovsky, F.J., Marchuk, V.V., Ostrovsky, Ya.P., Pitertsev, A.A., and Ligthart, L.P., (2007), Inverse scattering and radar cross section of heterogeneous hydrometeor ensemble, IET Seminar Digest, 5 p. http://dx.doi.org/10.1049/ic.2007.1157.
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  18. Pitertsev, A.A., Marchuk, V.V., and Yanovsky, F.J., (2006), Identification of the dangerous meteorological objects on Doppler-polarimetric radar data using the neural network based algorithm. Part 1: Statistical modeling, 2nd Microwave and Radar Week in Poland - International Radar Symposium, IRS 2006, pp. 225-228.
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  23. Averyanova, Yu. and Yanovsky, F., (2010), Influence of Turbulence onto Depolarization of Signal Reflected from Hydrometeors, Proceedings International Radar Symposium, Vilnius, pp. 512-515.
  24. Averyanova, Yu.A., Averyanov, A.A., and Yanovsky, F.J., (2008), The Estimate of Instantaneous Power of Polarization Spectrum Components in Polarmetric Weather Radar, Proceedings of Microwaves, Radar and Remote Sensing Symposium, MRRS 2008, pp. 179-181.
  25. Yanovsky, F.J., and Sinitsyn, R.B., (2006), Ultrawideband signal processing algorithms for radars and sodars, UWBUSIS - 3rd International Conference on Ultrawideband and Ultrashort Impulse Signals, pp. 66-71.
  26. Yanovsky, F.J., (1997), Methods and means of remote definition of clouds' electrical structure, Physics and Chemistry of the Earth, 22(3-4):241-245.
  27. Glushko, D., Lawama, A., and Yanovsky, F.J., (2008), Retrieval of range information from singularities of electric components of lightning self-radiation, Telecommunications and Radio Engineering, 67(6):559-566.
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  29. Yanovsky, F.J., (2010), Specified for Air Safety, Monitoring Atmospheric Phenomena Including the Volcano Dust, Proceedings International Radar Symposium, Vilnius, pp. 2-6.


pages 577-581

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