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Verification of an algorithm correct...
~
Arockiam, Jerome Raja.
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Verification of an algorithm correcting SeaWinds measurements for rain effects.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Verification of an algorithm correcting SeaWinds measurements for rain effects./
Author:
Arockiam, Jerome Raja.
Description:
117 p.
Notes:
Adviser: Richard K. Moore.
Contained By:
Masters Abstracts International44-04.
Subject:
Engineering, Electronics and Electrical. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1432323
ISBN:
9780542517419
Verification of an algorithm correcting SeaWinds measurements for rain effects.
Arockiam, Jerome Raja.
Verification of an algorithm correcting SeaWinds measurements for rain effects.
- 117 p.
Adviser: Richard K. Moore.
Thesis (M.S.)--University of Kansas, 2006.
Moderate to heavy rain over the oceans corrupts the normalized radar cross-section measurements (NRCS) given by a space-borne scatterometer. The rain-affected NRCS is currently flagged and excluded from the wind vector calculations over the ocean. RSL at Kansas has developed an algorithm to correct and utilize the rain flagged NRCS data. We test effectiveness of the algorithm and verify the extent to which the rain flagged data could be corrected and re-flag otherwise.
ISBN: 9780542517419Subjects--Topical Terms:
626636
Engineering, Electronics and Electrical.
Verification of an algorithm correcting SeaWinds measurements for rain effects.
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Arockiam, Jerome Raja.
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Verification of an algorithm correcting SeaWinds measurements for rain effects.
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117 p.
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Adviser: Richard K. Moore.
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Source: Masters Abstracts International, Volume: 44-04, page: 1919.
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Thesis (M.S.)--University of Kansas, 2006.
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Moderate to heavy rain over the oceans corrupts the normalized radar cross-section measurements (NRCS) given by a space-borne scatterometer. The rain-affected NRCS is currently flagged and excluded from the wind vector calculations over the ocean. RSL at Kansas has developed an algorithm to correct and utilize the rain flagged NRCS data. We test effectiveness of the algorithm and verify the extent to which the rain flagged data could be corrected and re-flag otherwise.
520
$a
This thesis discusses in detail the problems encountered with the monthly-regression model, the switch over to the instantaneous-regression model, the apparent shift in the slices projected on the earth depending on the NEXRAD location from the footprints, selection of Z-R and k-R relations in calculating the volume scatter and attenuation caused by the rain, and the threshold for the correction. In essence, it describes the procedure for verifying the algorithm (developed earlier) correcting scatterometer measurements for the effects of rain and some results of the verification. (Abstract shortened by UMI.)
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School code: 0099.
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Engineering, Electronics and Electrical.
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Engineering, Marine and Ocean.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1432323
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