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An Investigation of Dust Aerosols and Atmospheric Profiles Associated with North Atlantic Hurricanes Using Multi-Sensor Measurements

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dc.contributor.advisor Qu, John J.
dc.contributor.author Kamal, Mohammed M.
dc.creator Kamal, Mohammed M. en_US
dc.date.accessioned 2013-03-29T21:05:47Z
dc.date.available 2013-03-29T21:05:47Z
dc.date.issued 2012 en_US
dc.identifier.uri https://hdl.handle.net/1920/8105
dc.description.abstract MODerate resolution Imaging Spectroradiometer (MODIS) Aerosol Optical Thickness (AOT) and the Atmospheric Infrared Sounder (AIRS) atmospheric profiles (temperature and moisture) Level 2 products are studied to investigate dust aerosol impacts on hurricanes through spatial analysis for four hurricanes Isabel (2003), Frances (2004), Katrina (2005) and Helene (2006). Spatial regions were selected based on two concentric circles (an annulus) and segmented by left and right regions of 180° each around the hurricane's eye. Statistical relationships between MODIS AOT, AIRS temperature and percent relative humidity (RH) among these four hurricanes is presented. The variation of temperature and RH values represented in static-left, static-right, dynamic-left and dynamic-right for the 500 mb, 700 mb and 850 mb pressure levels were analyzed to determine the impacts of dust aerosols on temperature and RH. For the four hurricanes' average, AOT was found highest in Helene as opposed to (0.27) Isabel (0.23), Frances (0.18) and Katrina (0.16). Dust aerosols showed negative impacts on the atmospheric moisture levels and positive on the temperature.
dc.format.extent 155 pages en_US
dc.language.iso en en_US
dc.rights Copyright 2012 Mohammed M. Kamal en_US
dc.subject Remote sensing en_US
dc.subject Atmospheric sciences en_US
dc.subject Aerosol dust en_US
dc.subject Aerosol Optical Thickness en_US
dc.subject Atlantic hurricane en_US
dc.subject Atmospheric profiles en_US
dc.subject Intensity change en_US
dc.subject MODIS; SHIPS; MISR; AIRS en_US
dc.title An Investigation of Dust Aerosols and Atmospheric Profiles Associated with North Atlantic Hurricanes Using Multi-Sensor Measurements en_US
dc.type Dissertation en
thesis.degree.level Doctoral en
thesis.degree.discipline Computational Sciences and Informatics en
thesis.degree.grantor George Mason University en


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