Severe Weather Analysis Tool

dc.contributor.author Subramanian, Krishnan
dc.contributor.department Department of Computer Science
dc.contributor.majorProfessor Carl Chang
dc.contributor.majorProfessor William Gallus
dc.date 2020-06-15T20:02:06.000
dc.date.accessioned 2020-06-30T01:35:56Z
dc.date.available 2020-06-30T01:35:56Z
dc.date.copyright Wed Jan 01 00:00:00 UTC 2020
dc.date.issued 2020-01-01
dc.description.abstract <p>Severe weather events are caused by underlying weather systems (aka morphologies) that often evolve into one another. The purpose of classifying them is to try to understand the correlation between each system and the severe weather events they cause. As such, there is no established 1-1 mapping between a morphology and a severe weather event.</p> <p>For the purpose of this research, we considered the following convective storms:</p> <p>● Flash Floods</p> <p>● Hail</p> <p>● Thunderstorm Wind (Damaging winds)</p> <p>● Tornado</p> <p>The primary goal of the project is to gather more data with community support so as to develop a correlation between the weather systems and the severe weather events over a prolonged period of time. We approached this problem on two fronts: A full stack application that we developed that provides the users a platform to classify the radar images across 9 regions in the United States; A smaller application hosted on Zooniverse (A citizen science platform).</p> <p>We recognize that the classifications are subjective and are often ambiguous. So as to make the user’s classification data consistent, we also normalize the classifications if we deem their classifications based on how the systems typically behave. An improved understanding of the relationship between storm morphology (classifications) and severe weather reports could help us specify better the severe hazards during convective storms (thunderstorms) and could thereby lead to a better understanding of the behavior of convective storms.</p>
dc.format.mimetype PDF
dc.identifier archive/lib.dr.iastate.edu/creativecomponents/554/
dc.identifier.articleid 1544
dc.identifier.contextkey 17389860
dc.identifier.doi https://doi.org/10.31274/cc-20240624-1277
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath creativecomponents/554
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/17127
dc.source.bitstream archive/lib.dr.iastate.edu/creativecomponents/554/Krishnan_Subramanian___Severe_Weather_Analysis_Report.pdf|||Sat Jan 15 00:55:57 UTC 2022
dc.subject.disciplines Databases and Information Systems
dc.subject.disciplines Other Computer Sciences
dc.subject.disciplines Software Engineering
dc.subject.keywords severe weather analysis
dc.subject.keywords radar image classification
dc.subject.keywords storm reports
dc.title Severe Weather Analysis Tool
dc.type creative component
dc.type.genre creative component
dspace.entity.type Publication
relation.isOrgUnitOfPublication f7be4eb9-d1d0-4081-859b-b15cee251456
thesis.degree.discipline Computer Science
thesis.degree.level creativecomponent
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