Increased tornado hazard in large metropolitan areas

Cusack, Stephen

doi:10.1016/j.atmosres.2014.06.015

Cited by 6 publications

(1 citation statement)

References 21 publications

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“…Stephen Cusack used data from the Storm Prediction Center (SPC) to make predictions as to why this was occurring. 13 Through his analysis he found that the increased heat in urban areas shows trends in rising storm severity. Cusack did asses the possibility that it could be that the increased viewer count could be increasing the total tornado count by the SPC.…”

Section: B Areas Of Observationmentioning

confidence: 98%

Sensor Suite Development for a Weather UAV

Avery

Hathaway

Jacob

2015

7th AIAA Atmospheric and Space Environments Conference

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The goal of this project is to develop an effective system that aids meteorologists in better understanding and predicting severe weather. For the last decade, the average prediction time for tornado genesis has remained at 15 minutes. Unpredictability of tornado supercells creates over prediction cases which causes havoc in communities and can produce unnecessary injuries. There have been significant improvements in analytical models and instrumentation that provide researchers with sufficient methods of decreasing the current prediction times. However, the current warning time and unpredictability of supercell thunderstorms remains the same. Unmanned aircraft systems (UAS) provide an effective and safe platform for advanced weather surveillance and atmospheric data collection. In order to correctly collect the atmospheric data, it is important to ensure that the system is equipped with an effective sensor package for the weather conditions. It is also important to consider the points of interest in the storm system and to understand the ingredients for tornado genesis in order for the data to be meaningful. There are many viable options to consider and this paper will delve into the development of the optimal sensor suite for a storm surveying unmanned air vehicle (UAV).

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Section: B Areas Of Observationmentioning

confidence: 98%