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Analysis of convectively generated g...

Kuester, Michele Ann.

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Analysis of convectively generated gravity waves within a tropical cyclone environment: Model simulation and satellite observation.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Analysis of convectively generated gravity waves within a tropical cyclone environment: Model simulation and satellite observation./
Author:	Kuester, Michele Ann.
Description:	166 p.
Notes:	Adviser: M. Joan Alexander.
Contained By:	Dissertation Abstracts International68-11B.
Subject:	Atmospheric Sciences. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3284475
ISBN:	9780549315285

Analysis of convectively generated gravity waves within a tropical cyclone environment: Model simulation and satellite observation.
Kuester, Michele Ann.

Analysis of convectively generated gravity waves within a tropical cyclone environment: Model simulation and satellite observation. - 166 p.

Adviser: M. Joan Alexander.

Thesis (Ph.D.)--University of Colorado at Boulder, 2007.

This study investigates characteristics that are included in various parameterization schemes for gravity waves in short and long term numerical weather prediction (NWP) and global climate models (GCM). The results from this study show that it is important to include not only the heating depth of the source, but also the speed and direction of the source movement. Additionally, the affects of local winds at the source are needed to describe the generation of gravity waves from deep convection in tropical cyclones. This ensures that the forcing terms in the stratosphere from these sources are more representative of the entire wave spectrum. A collaboration with the National Oceanic and Atmospheric Administration (NOAA) has developed simulations of a North Atlantic tropical cyclone at both tropical storm and hurricane stages during NASA's fourth field campaign in the Convection and Moisture Experiment series (CAMEX-4) in 2001 using the Pennsylvania State University-National Center for Atmospheric Research (PSU-NCAR) fifth generation Mesoscale Model (MM5). MM5 simulations are validated by data collected during CAMEX-4 and used to investigate waves generated by the strong convection of a developing tropical cyclone. Observations of gravity waves created by deep convection during the 2005 North Atlantic hurricane season with the Atmospheric Infrared Sounder (AIRS) on the Earth Observing System (EOS) Aqua platform are used to locate and further investigate characteristics of these waves. Information about gravity waves and their sources can be inferred from horizontal and vertical wind and temperature perturbations. Fourier transform analysis of these perturbation fields gives a regional view while wavelet analysis gives a local picture of wave activity. Investigation of the movement of convective sources and local winds gives further insight into the mechanisms that can cause gravity wave generation. Analysis of AIRS Level 1B radiances and Level 2 temperature retrieval, and National Climate Data Center (NCDC) Next Generation Weather Radar (NEXRAD) Weather Surveillance Radar-1988 Doppler (WSR-88D) System data allow investigation of local wave events and the sources that generate them.

ISBN: 9780549315285Subjects--Topical Terms:

1019179
Atmospheric Sciences.

Analysis of convectively generated gravity waves within a tropical cyclone environment: Model simulation and satellite observation.
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100 1 $a Kuester, Michele Ann. $3 1264125
245 1 0 $a Analysis of convectively generated gravity waves within a tropical cyclone environment: Model simulation and satellite observation.
300 $a 166 p.
500 $a Adviser: M. Joan Alexander.
500 $a Source: Dissertation Abstracts International, Volume: 68-11, Section: B, page: 7188.
502 $a Thesis (Ph.D.)--University of Colorado at Boulder, 2007.
520 $a This study investigates characteristics that are included in various parameterization schemes for gravity waves in short and long term numerical weather prediction (NWP) and global climate models (GCM). The results from this study show that it is important to include not only the heating depth of the source, but also the speed and direction of the source movement. Additionally, the affects of local winds at the source are needed to describe the generation of gravity waves from deep convection in tropical cyclones. This ensures that the forcing terms in the stratosphere from these sources are more representative of the entire wave spectrum. A collaboration with the National Oceanic and Atmospheric Administration (NOAA) has developed simulations of a North Atlantic tropical cyclone at both tropical storm and hurricane stages during NASA's fourth field campaign in the Convection and Moisture Experiment series (CAMEX-4) in 2001 using the Pennsylvania State University-National Center for Atmospheric Research (PSU-NCAR) fifth generation Mesoscale Model (MM5). MM5 simulations are validated by data collected during CAMEX-4 and used to investigate waves generated by the strong convection of a developing tropical cyclone. Observations of gravity waves created by deep convection during the 2005 North Atlantic hurricane season with the Atmospheric Infrared Sounder (AIRS) on the Earth Observing System (EOS) Aqua platform are used to locate and further investigate characteristics of these waves. Information about gravity waves and their sources can be inferred from horizontal and vertical wind and temperature perturbations. Fourier transform analysis of these perturbation fields gives a regional view while wavelet analysis gives a local picture of wave activity. Investigation of the movement of convective sources and local winds gives further insight into the mechanisms that can cause gravity wave generation. Analysis of AIRS Level 1B radiances and Level 2 temperature retrieval, and National Climate Data Center (NCDC) Next Generation Weather Radar (NEXRAD) Weather Surveillance Radar-1988 Doppler (WSR-88D) System data allow investigation of local wave events and the sources that generate them.
590 $a School code: 0051.
650 4 $a Atmospheric Sciences. $3 1019179
650 4 $a Remote Sensing. $3 1018559
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773 0 $t Dissertation Abstracts International $g 68-11B.
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790 1 0 $a Alexander, M. Joan, $e advisor
790 1 0 $a Cassano, John J. $e committee member
790 1 0 $a Noone, David $e committee member
790 1 0 $a Ray, Eric A. $e committee member
790 1 0 $a Toohey, Darin W. $e committee member
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3284475