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Cross-validation of spaceborne radar...

Bolen, Steven Matthew.

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Cross-validation of spaceborne radar and ground polarimetric radar observations.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Cross-validation of spaceborne radar and ground polarimetric radar observations./
Author:	Bolen, Steven Matthew.
Description:	146 p.
Notes:	Source: Dissertation Abstracts International, Volume: 63-12, Section: B, page: 5997.
Contained By:	Dissertation Abstracts International63-12B.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3075342
ISBN:	0493954031

Cross-validation of spaceborne radar and ground polarimetric radar observations.
Bolen, Steven Matthew.

Cross-validation of spaceborne radar and ground polarimetric radar observations. - 146 p.

Source: Dissertation Abstracts International, Volume: 63-12, Section: B, page: 5997.

Thesis (Ph.D.)--Colorado State University, 2002.

There is great potential for spaceborne weather radar to make significant observations of the precipitating medium on global scales. The Tropical Rainfall Mapping Mission (TRMM) is the first mission dedicated to measuring rainfall in the tropics from space using radar. The Precipitation Radar (PR) is one of several instruments aboard the TRMM satellite that is operating in a nearly circular orbit at 350 km altitude and 35 degree inclination. The PR is a single frequency Ku-band instrument that is designed to yield information about the vertical storm structure so as to gain insight into the intensity and distribution of rainfall. Attenuation effects on PR measurements, however, can be significant, which can be as high as 10--15 dB. This can seriously impair the accuracy of rain rate retrieval algorithms derived from PR returns. Direct inter-comparison of meteorological measurements between space and ground radar observations can be used to evaluate spaceborne processing algorithms. Though conceptually straightforward, this can be a challenging task. Differences in viewing aspects between space and earth point observations, propagation frequencies, resolution volume size and time synchronization mismatch between measurements can contribute to direct point-by-point inter-comparison errors. The problem is further complicated by spatial geometric distortions induced into the space-based observations caused by the movements and attitude perturbations of the spacecraft itself. A method is developed to align space and ground radar observations so that a point-by-point inter-comparison of measurements can be made. Ground-based polarimetric observations are used to estimate the attenuation of PR signal returns along individual PR beams, and a technique is formulated to determine the true PR return from GR measurements via theoretical modeling of specific attenuation (k) at PR wavelength with ground-based S-band radar observations. The statistical behavior of the parameters of a three-parameter gamma raindrop size distribution (RSD) model is also presented along with analysis of the initial PR RSD model on rain rate estimates. Data is taken from the TExas and FLorida UNderflights (TEFLUN-B) and the TRMM Large-scale Biosphere Atmosphere (LBA) field campaigns. Data from the Kwajalein KPOL radar is also used to validate the algorithms developed.

ISBN: 0493954031Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Cross-validation of spaceborne radar and ground polarimetric radar observations.
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100 1 $a Bolen, Steven Matthew. $3 1953431
245 1 0 $a Cross-validation of spaceborne radar and ground polarimetric radar observations.
300 $a 146 p.
500 $a Source: Dissertation Abstracts International, Volume: 63-12, Section: B, page: 5997.
500 $a Adviser: V. Chandrasekar.
502 $a Thesis (Ph.D.)--Colorado State University, 2002.
520 $a There is great potential for spaceborne weather radar to make significant observations of the precipitating medium on global scales. The Tropical Rainfall Mapping Mission (TRMM) is the first mission dedicated to measuring rainfall in the tropics from space using radar. The Precipitation Radar (PR) is one of several instruments aboard the TRMM satellite that is operating in a nearly circular orbit at 350 km altitude and 35 degree inclination. The PR is a single frequency Ku-band instrument that is designed to yield information about the vertical storm structure so as to gain insight into the intensity and distribution of rainfall. Attenuation effects on PR measurements, however, can be significant, which can be as high as 10--15 dB. This can seriously impair the accuracy of rain rate retrieval algorithms derived from PR returns. Direct inter-comparison of meteorological measurements between space and ground radar observations can be used to evaluate spaceborne processing algorithms. Though conceptually straightforward, this can be a challenging task. Differences in viewing aspects between space and earth point observations, propagation frequencies, resolution volume size and time synchronization mismatch between measurements can contribute to direct point-by-point inter-comparison errors. The problem is further complicated by spatial geometric distortions induced into the space-based observations caused by the movements and attitude perturbations of the spacecraft itself. A method is developed to align space and ground radar observations so that a point-by-point inter-comparison of measurements can be made. Ground-based polarimetric observations are used to estimate the attenuation of PR signal returns along individual PR beams, and a technique is formulated to determine the true PR return from GR measurements via theoretical modeling of specific attenuation (k) at PR wavelength with ground-based S-band radar observations. The statistical behavior of the parameters of a three-parameter gamma raindrop size distribution (RSD) model is also presented along with analysis of the initial PR RSD model on rain rate estimates. Data is taken from the TExas and FLorida UNderflights (TEFLUN-B) and the TRMM Large-scale Biosphere Atmosphere (LBA) field campaigns. Data from the Kwajalein KPOL radar is also used to validate the algorithms developed.
590 $a School code: 0053.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Remote Sensing. $3 1018559
650 4 $a Geophysics. $3 535228
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710 2 0 $a Colorado State University. $3 675646
773 0 $t Dissertation Abstracts International $g 63-12B.
790 1 0 $a Chandrasekar, V., $e advisor
790 $a 0053
791 $a Ph.D.
792 $a 2002
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