Algorithm for wind speed estimate with polarimetric radar
DOI:
https://doi.org/10.18372/2306-1472.55.5410Keywords:
hydrometeor, meteorological radar, polarimetry, wind speedAbstract
The connection of wind speed and drops behavior is substantiated as well as the drop behavior influence onto the polarization characteristics of electromagnetic waves. The expression to calculate the wind speed taking into account the Weber number for the critical regime of drop deformation is obtained. The critical regime of drop deformation is the regime when drop is divided into two parts. The dependency of critical wind speed on the drop diameter is calculated and shown. The concept o polarization spectrum that is introduced in the previous papers is used to estimate the dynamic processes in the atmosphere. At the moment when the drop is under the influence of the wind that is equal to the critical wind speed the drop will be divided into two parts. This process will be reflected as the appearance of the two equal components of polarization spectra of reflected electromagnetic waves at the orthogonal antennas of Doppler Polarimetric Radar. Owing the information about the correspondence of the polarization component energy level to the drop diameter it is possible to estimate the wind speed with the obtained dependency. The process of the wind speed estimate with polarimetric radar is presented with the developed common algorithmReferences
Аверьянова Ю.А. Оцінка інтенсивності турбулентності в докритичному режимі деформації рідких гідрометеорів / Ю.А. Авер’янова, А.О. Аверьянов // Вісник Національного авіаційного університету. К. 2012. № 1. – С. 56–60.
Авер’янова Ю.А. Оціннювання ступеня де-поляризації відбитих від гідрометеорів радіо-хвиль амплітудним методом / Ю.А. Авер’янова, А.О. Аверьянов, Ф.Й. Яновський // Вісник Національного авіаційного університету. К. 2010. № 1. – С. 100104.
Аверьянова Ю.А. Просторова оцінка розподі-лу енергії за складовими поляризаційного спектра відбитого від метеоутворення радіолокаційного сигналу / Ю.А. Авер’янова // Вісник «Електроніка та системи управління». 2012. № 1(31). – С. 109–112.
Волынский М.С. Необыкновенная жизнь обыкновенной капли / М.С. Волынский // Москва: Знание, 1986. – 144 с.
Горелик А.Г. Влияние вибрации капель дождя на поляризационные характеристики радио-локационного сигнала / А.Г. Горелик, В.В. Стерлядкин // Известия АН СССР. Физика атмосферы и океана. – 1989. – Т. 25, № 9. – С. 960 – 968.
Теоретические основы радиолокации. – 2-е изд. / под ред. В.Е. Дулевича. – Москва: Сов. ра-дио, 1978. – 607 с.
Averyanova, Yu.A. 2004. Use of Doppler-Polarimetric parameters for wind phenomena localization. Proceedings of the European Microwave Week. Amsterdam. The Netherlands: 2932.
Averyanova, Yu.A.; Averyanov, A.A.; Yanovsky, F.J. 2009. Polarization Selective Antennas for Reflected Wave Depolarization Determination. Proceedings of International Conference on Antenna Theory and Techniques (ICATT 2009). Lviv. Ukraine: 256258.
Averyanova, Yu.A.; Averyanov, A.A.; Yanovsky, F.J. 2008. Polarization signal components estimate in weather radar. Proceedings of 12th International Conference on Mathematical Methods in Electromagnetic Theory. Odessa. Ukraine: 360362.
Doviak, R.J.; Zrnic, D.S, 1993. Doppler radar and weather observations. Academic Press, inc. 522 p.
Yanovsky, F. 2011. Inferring microstructure and turbulence properties in rain through observations and simulations of signal spectra measured with Doppler–polarimetric radars. Book chapter in: Polarimetric Detection, Characterization, and Remote Sensing. Springer. 545 p.
Yanovsky, F.J.; Russchenberg, H.W.J.; Unal, C.M.H. 2005. Retrieval of Information About Turbulence in Rain by Using Doppler-Polarimetric Radar. IEEE Transactions on Microwave Theory and Techniques. Feb. Vol. 53, N 2: 444–450.
References
Averyanova, Yu.A.; Averyanov, A.O. 2012. The turbulence intencity estimate in the subcritical regime of the liquid hydrometeors deformation. Proceedings of National Aviation University. Кyiv. N 1: 56–60 (in Ukrainian).
Averyanova, Yu.A.; Averyanov, A.O.; Yanovsky, F.J. 2010. The estimate of the depolarization degree of the reflected from hydrometeors radiowaves with amplitude method. Proceedings of National Aviation University. Кyiv. N 1: 100104 (in Ukrainian).
Averyanova, Yu.A. 2012. The spatial estimate of energy distribution over the components of polarization spectrum of reflected from meteorological object radar signal. Proceedings “Electronics and control systems”. N 1 (31): 109–112 (in Ukrainian).
Volynsky, M.S. 1986. The unordinary life of ordinary drop. Моscow, Znanie. 144 p. (in Russian).
Gorelik, A.G.; Sterlyadkin, V.V. 1989. Influence of raindrops vibration on polarization characteristics of radar echo. Izvestija of Academy of Science of USSR. Physics of atmosphere and ocean. Vol. 25, N 9: 960968 (in Russian).
The theoretical fundamentals of radar. Issue 2. Under supervision of Dulevich V.E. Moscow, Sov. Radio, 1978. 607 p. (in Russian).
Averyanova, Yu.A. 2004. Use of Doppler-Polarimetric parameters for wind phenomena localization. Proceedings of the European Microwave Week. Amsterdam. The Netherlands: 2932.
Averyanova, Yu.A.; Averyanov, A.A.; Yanovsky, F.J. 2009. Polarization Selective Antennas for Reflected Wave Depolarization
Determination. Proceedings of International Conference on Antenna Theory and Techniques (ICATT 2009). Lviv. Ukraine: 256258.
Averyanova, Yu.A.; Averyanov, A.A.; Yanovsky, F.J. 2008. Polarization signal components estimate in weather radar. Proceedings of 12th International Conference on Mathematical Methods in Electromagnetic Theory. Odesa. Ukraine: 360362.
Doviak, R.J.; Zrnic, D.S, 1993. Doppler radar and weather observations. Academic Press, inc. 522 p.
Yanovsky, F. 2011. Inferring microstructure and turbulence properties in rain through observations and simulations of signal spectra measured with Doppler–polarimetric radars. Book chapter in: Polarimetric Detection, Characterization, and Remote Sensing. Springer. 545 p.
Yanovsky, F.J.; Russchenberg, H.W.J.; Unal, C.M.H. 2005. Retrieval of Information About Turbulence in Rain by Using Doppler-Polarimetric Radar. IEEE Transactions on Microwave Theory and Techniques. Feb. Vol. 53, N 2: 444–450
