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GPS meteorology and the phenomenolog...

Foster, James Henry.

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GPS meteorology and the phenomenology of precipitable water.

Record Type:	Electronic resources : Monograph/item
Title/Author:	GPS meteorology and the phenomenology of precipitable water./
Author:	Foster, James Henry.
Description:	66 p.
Notes:	Source: Dissertation Abstracts International, Volume: 63-11, Section: B, page: 5126.
Contained By:	Dissertation Abstracts International63-11B.
Subject:	Geophysics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3070702
ISBN:	0493903968

GPS meteorology and the phenomenology of precipitable water.
Foster, James Henry.

GPS meteorology and the phenomenology of precipitable water. - 66 p.

Source: Dissertation Abstracts International, Volume: 63-11, Section: B, page: 5126.

Thesis (Ph.D.)--University of Hawaii, 2002.

Three studies of precipitable water using the Global Positioning System are presented. The first study finds that precipitable water in Hawai'i is best described by a lognormal distribution. The long-term average value of precipitable water declines exponentially with height, but the dispersion of precipitable water declines more linearly. The change in skewness of the distributions is also linear, although in this case it increases with elevation. The second and third studies use GPS meteorology to investigate a climatological and a meteorological event respectively. First, the effect of the 1997–1998 El Niño on precipitable water in the western tropical Pacific is studied and found to be consistent with a model relating the formation of an anomalous high-pressure ridge to the El Niño episode. Finally, the details of the precipitable water field for the Ka'&umacr; Storm, November 2000 are examined. The results highlight the role of topography in controlling the location of convection. The observed correlation between the precipitable water and rainfall is used to generate estimates of rainfall based on GPS data. Comparing the GPS precipitable water estimates with those from a weather model indicates that the underestimates of rainfall produced by the weather model are probably due to correlated underestimates of precipitable water.

ISBN: 0493903968Subjects--Topical Terms:

535228
Geophysics.

GPS meteorology and the phenomenology of precipitable water.
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020 $a 0493903968
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100 1 $a Foster, James Henry. $3 1899964
245 1 0 $a GPS meteorology and the phenomenology of precipitable water.
300 $a 66 p.
500 $a Source: Dissertation Abstracts International, Volume: 63-11, Section: B, page: 5126.
500 $a Chair: Michael Bevis.
502 $a Thesis (Ph.D.)--University of Hawaii, 2002.
520 $a Three studies of precipitable water using the Global Positioning System are presented. The first study finds that precipitable water in Hawai'i is best described by a lognormal distribution. The long-term average value of precipitable water declines exponentially with height, but the dispersion of precipitable water declines more linearly. The change in skewness of the distributions is also linear, although in this case it increases with elevation. The second and third studies use GPS meteorology to investigate a climatological and a meteorological event respectively. First, the effect of the 1997–1998 El Niño on precipitable water in the western tropical Pacific is studied and found to be consistent with a model relating the formation of an anomalous high-pressure ridge to the El Niño episode. Finally, the details of the precipitable water field for the Ka'&umacr; Storm, November 2000 are examined. The results highlight the role of topography in controlling the location of convection. The observed correlation between the precipitable water and rainfall is used to generate estimates of rainfall based on GPS data. Comparing the GPS precipitable water estimates with those from a weather model indicates that the underestimates of rainfall produced by the weather model are probably due to correlated underestimates of precipitable water.
590 $a School code: 0085.
650 4 $a Geophysics. $3 535228
650 4 $a Physics, Atmospheric Science. $3 1019431
650 4 $a Remote Sensing. $3 1018559
690 $a 0373
690 $a 0608
690 $a 0799
710 2 0 $a University of Hawaii. $3 1250246
773 0 $t Dissertation Abstracts International $g 63-11B.
790 1 0 $a Bevis, Michael, $e advisor
790 $a 0085
791 $a Ph.D.
792 $a 2002
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3070702