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dc.contributor.authorJason Ruiz
dc.contributor.authorPeter Tolmsa
dc.contributor.authorYonggang Wang
dc.date.accessioned2024-10-31T20:35:19Z
dc.date.available2024-10-31T20:35:19Z
dc.date.issued2024
dc.identifier.urihttp://hdl.handle.net/20.500.12648/15701
dc.description.abstractThis research study focuses on some of the most crucial atmospheric variables that fuel long-lived, dangerous tornado outbreaks. Understanding these variables with model simulations is essential for predicting severe storms hazards. This numerical study analyzed variables including CAPE (convective available potential energy), vorticity, updraft motion, and moisture in order to discover potential patterns in a devastating tornado outbreak, particularly the outbreak of April 29, 2017 in Texas.
dc.language.isoen_US
dc.titleNumerical Simulation of a Severe Convective Storm in Texas using the WRF Model
dc.typePoster
refterms.dateFOA2024-10-31T20:35:19Z
dc.description.departmentAtmospheric and Geological Sciences


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