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Survey of Tropical Cyclone Climate V...

Moore, Marilyn R.

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Survey of Tropical Cyclone Climate Variables from 1974-2017.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Survey of Tropical Cyclone Climate Variables from 1974-2017./
Author:	Moore, Marilyn R.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:	55 p.
Notes:	Source: Masters Abstracts International, Volume: 80-12.
Contained By:	Masters Abstracts International80-12.
Subject:	Geophysics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13812354
ISBN:	9781392179932

Survey of Tropical Cyclone Climate Variables from 1974-2017.
Moore, Marilyn R.

Survey of Tropical Cyclone Climate Variables from 1974-2017. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 55 p.

Source: Masters Abstracts International, Volume: 80-12.

Thesis (M.S.)--The University of Texas at San Antonio, 2019.

This item must not be sold to any third party vendors.

Five North Atlantic Basin (NAB) Tropical Cyclones (TCs) from 1974-2017 are chosen to illuminate differences in climate variables and determine potential effects on them from climate change. Each TC in the chosen set occurred in the months of August, September, and October (ASO), attained at least Category 1 maximum sustained winds, and made landfall as a TC. Hurricane Carmen in 1974, Hurricane Gilbert in 1988, Hurricane Katrina and Hurricane Rita in 2005, and Hurricane Harvey in 2017 are compared at three latitude/longitude points in the Atlantic, the Caribbean, and close to landfall, via monthly mean values of latent heat flux, skin temperatures, omega winds, geopotential heights, specific humidity, relative humidity, precipitation totals and anomalies, and vorticity over each hurricane with respect to time. The climatological base period for these data varies, but is mainly sourced from the NCEP/NCAR Reanalysis dataset, with a base period of 1948 to the present. We observe apparent increases in Sea Surface Temperatures (SSTs) and skin temperatures, fewer negative anomalies in the Accumulated Cyclone Energy (ACE) with time since 1974, a rise in 700 mb geopotential heights, and changes in distribution of relative humidity percentages, specific humidities, precipitation anomalies, skin temperatures, latent heat flux, and vorticity per month, and along the three points of interest.

ISBN: 9781392179932Subjects--Topical Terms:

535228
Geophysics.

Survey of Tropical Cyclone Climate Variables from 1974-2017.
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500 $a Source: Masters Abstracts International, Volume: 80-12.
500 $a Publisher info.: Dissertation/Thesis.
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502 $a Thesis (M.S.)--The University of Texas at San Antonio, 2019.
506 $a This item must not be sold to any third party vendors.
520 $a Five North Atlantic Basin (NAB) Tropical Cyclones (TCs) from 1974-2017 are chosen to illuminate differences in climate variables and determine potential effects on them from climate change. Each TC in the chosen set occurred in the months of August, September, and October (ASO), attained at least Category 1 maximum sustained winds, and made landfall as a TC. Hurricane Carmen in 1974, Hurricane Gilbert in 1988, Hurricane Katrina and Hurricane Rita in 2005, and Hurricane Harvey in 2017 are compared at three latitude/longitude points in the Atlantic, the Caribbean, and close to landfall, via monthly mean values of latent heat flux, skin temperatures, omega winds, geopotential heights, specific humidity, relative humidity, precipitation totals and anomalies, and vorticity over each hurricane with respect to time. The climatological base period for these data varies, but is mainly sourced from the NCEP/NCAR Reanalysis dataset, with a base period of 1948 to the present. We observe apparent increases in Sea Surface Temperatures (SSTs) and skin temperatures, fewer negative anomalies in the Accumulated Cyclone Energy (ACE) with time since 1974, a rise in 700 mb geopotential heights, and changes in distribution of relative humidity percentages, specific humidities, precipitation anomalies, skin temperatures, latent heat flux, and vorticity per month, and along the three points of interest.
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