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Physical and Environmental Geography Commons™
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Full-Text Articles in Physical and Environmental Geography
Changes Of Winter Severity In Arkansas During 1901-2100, Christian Garcia
Changes Of Winter Severity In Arkansas During 1901-2100, Christian Garcia
Graduate Theses and Dissertations
The objective of this study was to quantify the winter severity in a way that was reproduceable and easy to understand. The Accumulated Winter Severity Seasonal Index (AWSSI) was chosen for this reason and was used to quantify winter severity by season across the state of Arkansas. The variables that go into the AWSSI calculation are maximum daily temperature, minimum daily temperature, daily snowfall, and daily snow depth. When the snowfall and snow depth were missing, they can be estimated using daily temperature and precipitation. Then the estimated snowfall and snow depth can be subsequently used to quantify the winter …
Hazardous Weather And Human Response In The Southeastern United States, Daniel Burow
Hazardous Weather And Human Response In The Southeastern United States, Daniel Burow
Doctoral Dissertations
Effectively mitigating the human costs of future hazardous weather events requires examining meteorological threats, their long-term patterns, and human response to these events. The southeastern United States is a region that has both a high climatological risk and a high societal vulnerability to many different meteorological hazards. In this dissertation, I study hazardous weather and human response in the Southeast through three different lenses: identifying uniquely simultaneous hazards posed by tropical cyclones, assessing precipitation and synoptic weather patterns on hazardous weather days, and examining patterns in intended response to tornado watches. I find that simultaneous and collocated tornado and flash …
Tweet Diffusion Over Space And Time: A Comparison Of A Winter-Weather And Tornado-Outbreak Case Study, Alyssa Margaret Cannistraci
Tweet Diffusion Over Space And Time: A Comparison Of A Winter-Weather And Tornado-Outbreak Case Study, Alyssa Margaret Cannistraci
Masters Theses
Social media allows people to receive, engage in, and share weather information. Users of the social media platform Twitter actively share weather content via tweets, which researchers can acquire through an Application Programming Interface (API). APIs return tweet content, as well as temporal and spatial characteristics (latitude and longitude coordinates). Tweets can then be mapped and studied spatiotemporally through Geographic Information System (GIS) software. For this work, I compared how tweets spread (“diffuse”) over space and time during two natural hazard events in the United States. The first case study is a winter weather event that The Weather Channel named …
Lightning Activity In The Continental United States On An Enso Time Scale, 2002-2015, Tyler M. Gingrich
Lightning Activity In The Continental United States On An Enso Time Scale, 2002-2015, Tyler M. Gingrich
Senior Honors Projects, 2020-current
This investigation examined the frequency and spatial pattern of lightning in the continental United States from 2002 to 2015. Before analysis, flashes were grouped based on their El Niño Southern Oscillation (ENSO) phase and Spatial Synoptic Classification (SSC) type for the winter season (December, January, and February). The purpose of this study is to better understand the relationship between planetary teleconnections, synoptic scale air masses, and micro scale phenomena, specifically lightning, in the continental United States. Evidence suggests ENSO cold phase flashes tend to have a lower frequency in number of flashes and flash days, as well as a northward …
Weather Communication On Twitter: Identifying Popular Content And Optimal Warning Format Via Case Studies And A Survey Analysis, Joshua D. Eachus
Weather Communication On Twitter: Identifying Popular Content And Optimal Warning Format Via Case Studies And A Survey Analysis, Joshua D. Eachus
LSU Doctoral Dissertations
The use of Twitter as a channel for weather information inspires a deeper analysis of key information nodes during episodes of high impact weather, especially local meteorologists. To optimize communication on the channel, it is important to understand what kinds of messages produce exposure and attention among users—which translates to knowledge that could improve the reach of a warning. Literature identifies two key models that well describe the cognitive processing of tweets and warnings. The Protective Action Decision Model (PADM) describes risk perception and the factors that enable or disable one from acting on a warning. Particularly through environmental and …