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Spectral analyses of the dual polari...

Bachmann, Svetlana Monakhova.

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Spectral analyses of the dual polarization Doppler weather radar data.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Spectral analyses of the dual polarization Doppler weather radar data./
Author:	Bachmann, Svetlana Monakhova.
Description:	180 p.
Notes:	Advisers: Tian-You Yu; Victor DeBrunner.
Contained By:	Dissertation Abstracts International68-03B.
Subject:	Atmospheric Sciences. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3256648

Spectral analyses of the dual polarization Doppler weather radar data.
Bachmann, Svetlana Monakhova.

Spectral analyses of the dual polarization Doppler weather radar data. - 180 p.

Advisers: Tian-You Yu; Victor DeBrunner.

Thesis (Ph.D.)--The University of Oklahoma, 2007.

Echoes in clear air from biological scatterers mixed within the resolution volumes over a large region are presented. These echoes were observed with the polarimetric prototype of the forthcoming WSR-88D weather radar. The study case occurred in the evening of September 7, 2004, at the beginning of the bird migrating season. Novel polarimetric spectral analyses are used for distinguishing signatures of birds and insects in multimodal spectra. These biological scatterers were present at the same time in the radar resolution volumes over a large area. Spectral techniques for (1) data censoring, (2) wind retrieval and (3) estimation of intrinsic values/functions of polarimetric variables for different types of scatterers are presented. The technique for data censoring in the frequency domain allows detection of weak signals. Censoring is performed on the level of spectral densities, allowing exposure of contributions to the spectrum from multiple types of scatterers. The spectral techniques for wind retrieval allow simultaneous estimation of wind from the data that are severely contaminated by migrating birds, and assessment of bird migration parameters. The intrinsic polarimetric signatures associated with the variety of scatterers can be evaluated using presented methodology. Algorithms for echo classification can be built on these. The possibilities of spectral processing using parametric estimation techniques are explored for resolving contributions to the Doppler spectrum from the three types of scatterers: passive wind tracers, actively flying insects and birds. A combination of parametric and non-parametric polarimetric spectral analyses is used to estimate the small bias introduced to the wind velocity by actively flying insects.Subjects--Topical Terms:

1019179
Atmospheric Sciences.

Spectral analyses of the dual polarization Doppler weather radar data.
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035 $a (UMI)AAI3256648
035 $a AAI3256648
040 $a UMI $c UMI
100 1 $a Bachmann, Svetlana Monakhova. $3 1266191
245 1 0 $a Spectral analyses of the dual polarization Doppler weather radar data.
300 $a 180 p.
500 $a Advisers: Tian-You Yu; Victor DeBrunner.
500 $a Source: Dissertation Abstracts International, Volume: 68-03, Section: B, page: 1525.
502 $a Thesis (Ph.D.)--The University of Oklahoma, 2007.
520 $a Echoes in clear air from biological scatterers mixed within the resolution volumes over a large region are presented. These echoes were observed with the polarimetric prototype of the forthcoming WSR-88D weather radar. The study case occurred in the evening of September 7, 2004, at the beginning of the bird migrating season. Novel polarimetric spectral analyses are used for distinguishing signatures of birds and insects in multimodal spectra. These biological scatterers were present at the same time in the radar resolution volumes over a large area. Spectral techniques for (1) data censoring, (2) wind retrieval and (3) estimation of intrinsic values/functions of polarimetric variables for different types of scatterers are presented. The technique for data censoring in the frequency domain allows detection of weak signals. Censoring is performed on the level of spectral densities, allowing exposure of contributions to the spectrum from multiple types of scatterers. The spectral techniques for wind retrieval allow simultaneous estimation of wind from the data that are severely contaminated by migrating birds, and assessment of bird migration parameters. The intrinsic polarimetric signatures associated with the variety of scatterers can be evaluated using presented methodology. Algorithms for echo classification can be built on these. The possibilities of spectral processing using parametric estimation techniques are explored for resolving contributions to the Doppler spectrum from the three types of scatterers: passive wind tracers, actively flying insects and birds. A combination of parametric and non-parametric polarimetric spectral analyses is used to estimate the small bias introduced to the wind velocity by actively flying insects.
590 $a School code: 0169.
650 4 $a Atmospheric Sciences. $3 1019179
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Geotechnology. $3 1018558
650 4 $a Remote Sensing. $3 1018559
690 $a 0428
690 $a 0544
690 $a 0725
690 $a 0799
710 2 $a The University of Oklahoma. $3 1021915
773 0 $t Dissertation Abstracts International $g 68-03B.
790 $a 0169
790 1 0 $a DeBrunner, Victor, $e advisor
790 1 0 $a Yu, Tian-You, $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3256648