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dc.contributor.authorAnderson-Frey, Alexandra K.
dc.contributor.authorRichardson, Yvette P.
dc.contributor.authorDean, Andrew R.
dc.contributor.authorThompson, Richard L.
dc.contributor.authorSmith, Bryan T.
dc.date.accessioned2019-10-05T06:45:15Z
dc.date.available2019-10-05T06:45:15Z
dc.date.copyright6/11/2019 12:00:00 AM
dc.date.issued2019
dc.identifier.otherWAF-D-18-0211.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4263312
dc.description.abstractAbstractThe southeastern United States has become a prime area of focus in tornado-related literature due, in part, to the abundance of tornadoes occurring in high-shear low-CAPE (HSLC) environments. Through this analysis of 4133 tornado events and 16 429 tornado warnings in the southeastern United States, we find that tornadoes in the Southeast do indeed have, on average, higher shear and lower CAPE than tornadoes elsewhere in the contiguous United States (CONUS). We also examine tornado warning skill in the form of probability of detection (POD; percent of tornadoes receiving warning prior to tornado occurrence) and false alarm ratio (FAR; percent of tornado warnings for which no corresponding tornado is detected), and find that, on average, POD is better and FAR is worse for tornadoes in the Southeast than for the CONUS as a whole. These measures of warning skill remain consistent even when we consider only HSLC tornadoes. The Southeast also has nearly double the CONUS percentage of deadly tornadoes, with the highest percentage of these deadly tornadoes occurring during the spring, the winter, and around local sunset. On average, however, the tornadoes with the lowest POD also tend to be those that are weakest and least likely to be deadly; for the most part, the most dangerous storms are indeed being successfully warned.
dc.publisherAmerican Meteorological Society
dc.titleCharacteristics of Tornado Events and Warnings in the Southeastern United States
dc.typeJournal Paper
dc.journal.volume34
dc.journal.issue4
dc.journal.titleWeather and Forecasting
dc.identifier.doi10.1175/WAF-D-18-0211.1
dc.journal.fristpage1017
dc.journal.lastpage1034
dc.treeWeather and Forecasting:;2019:;volume 034:;issue 004
dc.contenttypeFulltext


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