Abonnement à la biblothèque: Guest
Portail numérique Bibliothèque numérique eBooks Revues Références et comptes rendus Collections
Telecommunications and Radio Engineering
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN Imprimer: 0040-2508
ISSN En ligne: 1943-6009

Volumes:
Volume 78, 2019 Volume 77, 2018 Volume 76, 2017 Volume 75, 2016 Volume 74, 2015 Volume 73, 2014 Volume 72, 2013 Volume 71, 2012 Volume 70, 2011 Volume 69, 2010 Volume 68, 2009 Volume 67, 2008 Volume 66, 2007 Volume 65, 2006 Volume 64, 2005 Volume 63, 2005 Volume 62, 2004 Volume 61, 2004 Volume 60, 2003 Volume 59, 2003 Volume 58, 2002 Volume 57, 2002 Volume 56, 2001 Volume 55, 2001 Volume 54, 2000 Volume 53, 1999 Volume 52, 1998 Volume 51, 1997

Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v61.i2.30
pages 116-124

Estimating Cloud and Rain Parameters from Doppler Radar Data

O. O. Bezvesilniy
Institute of Radio Astronomy, National Academy of Sciences of Ukraine
G. Peters
Meteorological Institute, University Hamburg, Bundesstrasse 55,D 20146 Hamburg, Germany
Dmitry M. Vavriv
Institute of Radio Astronomy, National Academy of Sciences of Ukraine 4, Krasnoznamennaya St., Kharkiv 61002, Ukraine

RÉSUMÉ

Real-time mapping of the parameters of precipitating water clouds and rain using a vertically-directed Doppler radar is an important problem. In this paper, an algorithm based on an independent estimation of the droplet effective diameter and concentration is suggested. This approach differs from the Marshall-Palmer retrieval procedure that is based on a single estimated parameter, the radar reflectivity factor. It is shown that the Marshall-Palmer approach can provide good estimates of the averaged parameters, however is not suitable for producing the high resolution time-height maps of the parameters. The two-parameter retrieval algorithm under discussion was tested using the data obtained with the 36 GHz polarimetric Doppler cloud radar MIRA-36. The measurements data and their processing are presented. The suggested algorithm is applicable to real-time measurements with the vertically-directed Doppler radars.


Articles with similar content:

Reading a Pulsed, Fluctuating-Amplitude Radio Signal in Non-Gaussian Noise at Non-Coherent Reception
Telecommunications and Radio Engineering, Vol.65, 2006, issue 1-5
S. S. Martynenko
Component Spectral Analysis of Signals with a Stochastic Repetition
Journal of Automation and Information Sciences, Vol.30, 1998, issue 2-3
I. Yu. Isaev, I. N. Yavorskii
Analysis of the Spectral Method Efficiency in the Coherent Radar Detection of Growlers on the Sea Surface
Telecommunications and Radio Engineering, Vol.55, 2001, issue 3
G. P. Kulemin
RADAR IDENTIFICATION OF DESERT REGIONS AS SUPPLIERS OF DUST IN THE ATMOSPHERE
Telecommunications and Radio Engineering, Vol.75, 2016, issue 10
A. Ya. Matveyev, S. Ye. Yatsevich, D. M. Bychkov, V. N. Tsymbal, V. K. Ivanov
A MODEL OF MERGING OF INFORMATION ON THE QUALITY OF IMAGES BASED ON THE DEMPSTER−SHAFER THEORY FOR BIOMETRIC SYSTEM INTEROPERABILITY
Telecommunications and Radio Engineering, Vol.71, 2012, issue 17
Yadigar N. Imamverdiev