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Description
Large, violent storms come through the Phoenix area during monsoon season, and currently, the best ways to predict them are not very accurate. The primary goal of this investigation is to see if a mechanism can be developed for the prediction of these storms in Phoenix during monsoon season. In order to answer this question, two data sets (a remote sensing satellite imagery and a ground-based weather information set) will be used and their measurements will be compared against one another using a corresponding time as the related variable. The goal is to try and identify some type of correlation or explanation of correlation. Events known as moisture surges (from the gulf surge \u2014 which comes from the California Gulf) will be identified and then compared in some detail. These chutes of moisture surge through Arizona, primarily up through Yuma in a northeasterly direction. The point of the investigation is to prove or disprove that satellite imagery can be used as an analog for dew point measurements in areas where ground measurements are not available. If this can be demonstrated, then, because of the high temporal resolution of the remote sensing data, satellite imagery could be used as an identifier of oncoming storms.
ContributorsCarter, Shaylina Rae (Author) / Christensen, Phil (Thesis director) / Cerveny, Randall (Committee member) / Hagee, Warren (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Earth and Space Exploration (Contributor)
Created2013-05