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Analysis of differential Doppler velocity for remote sensing of clouds and precipitation with dual-polarization S-band radar

Published online by Cambridge University Press:  08 July 2010

Dmitry N. Glushko
Affiliation:
National Aviation University, 1 Prospect Komarova, 03680 Kiev, Ukraine.
Felix J. Yanovsky*
Affiliation:
National Aviation University, 1 Prospect Komarova, 03680 Kiev, Ukraine.
*
Corresponding author: F. Yanovsky Email: [email protected]; [email protected]

Abstract

This paper presents the results of Doppler-polarimetric radar signal analysis, computer modeling, and real data processing that show the correlation between differential Doppler velocity (DDV), which is a difference between mean Doppler velocities measured at orthogonal polarizations of electromagnetic waves, and parameters of rain including both rain microstructure (parameters of drop-size distribution) and turbulence intensity in resolution volume. The reasonability to use DDV as one of the informative parameters in the recognition neural network system is checked.

Type
Original Article
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2010

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References

REFERENCES

[1]Yanovsky, F.J.; Russchenberg, H.W.J.; Ligthart, L.P.; Fomichev, V.S.: Microwave Doppler-polarimetric technique for study of turbulence in precipitation, in Proc. IEEE IGARSS, 2000, Honolulu, USA, V, 2296–2298.Google Scholar
[2]Yanovsky, F.; Russchenberg, H.; Unal, C.: Retrieval of information about turbulence in rain by using Doppler-polarimetric radar. IEEE Trans. MTT, 53 (2) (2005), 444450.CrossRefGoogle Scholar
[3]Yanovsky, F.J.: Phenomenological models of Doppler-polarimetric microwave remote sensing of clouds and precipitation, in IEEE IGARSS, 2002, Toronto, Canada, 3 (1905–1907).Google Scholar
[4]Yanovsky, F.J.; Pitertsev, A.A.; Ostrovsky, Y.P.; Mazura, I.V.; Marchuk, V.V.: Neural network identification algorithm for weather radar. Extended Abstracts ISTP7, 2006, Boulder, CO, USA, 3 pp. (paper 6.2). Full version (9 pp.) is available in CD and at website http://www.eol.ucar.edu/istp2006/istpprogram.htmlGoogle Scholar
[5]Yanovsky, F.J.; Russchenberg, H.W.J.; Ligthart, L.P.: Doppler-polarimetric models of microwave remote sensing of rain (Invited Paper), in Proc. 11th Conf. Microwave Technique COMITE 2001, Pardubice, Czech Republic, 2001, 4762.Google Scholar
[6]Glushko, D.N.; Yanovsky, F.J.: DDV – Novel Doppler-Polarimetric Technique for Remote Sensing of Precipitation, in Proc. 6th European Radar Conf., Rome, Italy, 2009, 298301.Google Scholar
[7]Wilson, R.; Illingworth, A.J.; Blackman, T.M.: Differential Doppler velocity: a radar parameter for characterizing hydrometeor size distributions. J. Appl. Meteor, 36 (1997), 649663.CrossRefGoogle Scholar
[8]Doviak, R.; Zrnic, D.: Doppler Radar and Weather Observations, 2nd ed., Academic Press, London, 1993.Google Scholar
[9]Atlas, D.; Srivastava, R.C.; Sekhon, R.S.: Doppler radar characteristics of precipitation at vertical incidence. Rev. Geophys. Space Phys., 11 (1) (1973), 135.CrossRefGoogle Scholar
[10]Tatarski, V.I.: Wave Propagation in a Turbulent Medium. McGraw-Hill, New York 1961.CrossRefGoogle Scholar
[11]Yanovsky, F.J.; Fishman, B.E.: Mathematical model of processes of forming radar signals reflected from hydrometeors. Theory and Techniques of Radar, Navigation and Telecommunications, Riga, 1983, 6–9. (in Russian).Google Scholar
[12]Kezys, V.; Torlaschi, V.; Haykin, S.: Potential capabilities of coherent dual polarization X-band radar, in Proc. 26th Int. Conf. on Radar Meteorology, Norman, OK, American Meteorological Society, 1993, 106–108.Google Scholar
[13]Metcalf, J.I.: Interpretation of the autocovariances and crosscovariance from a polarization diversity radar. J. Atmos. Sci., 43 (1986), 24792498.2.0.CO;2>CrossRefGoogle Scholar
[14]Yanovsky, F.; Ostrovsky, Y.; Marchuk, V.: Hydrometeor type and turbulence intensity recognition with Doppler-polarimetric radar, in Proc. EuRAD 2008, Amsterdam, 2008, 8891.Google Scholar