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STUDENT RESEARCH

Investigating False-positive Tornado Warnings in Southeast Severe Storm Systems

R. Chad Hutchins
Department of Atmospheric Sciences
Faculty Mentor: Dr. Douglas Miller, Department of Atmospheric Sciences

This research will focus on false-positive tornado warnings issued by the National Weather Service local forecast offices (NWS WFO) using only Doppler radar information provided by the Tornado Detection Algorithm (TDA). Using case-studies from southeast severe weather events, we will obtain radar data from the National Climate Data Center and analyze the event using software called the Warning Decision Support Software-Intergraded Information (WDSS-II). Analyzing these case studies where false tornado warnings occurred, it will allow us the opportunity to understand why the TDA alerted the NWS WFO to issue a warning, and give us a chance to improve the current TDA or aid in the creation of a new algorithm that supports southeast tornado events.

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