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If you’re like most people, you wear a lot of hats. You’re an employee, cook, chauffeur and household manager. You may be a spouse, partner, parent, son or daughter. You find yourself constantly prioritizing the responsibilities and overlapping schedules that come with your many...
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The Radar Convective Applications experiment provides an avenue to obtain forecaster feedback for new applications and products developed for the WSR-88D network. This evaluation will focus on the Tornado Probability Algorithm (TORP), a machine learning single-radar product that detects and tracks potentially tornadic circulations, as well as the single-radar rotation and divergence products AzShear and DivShear to examine their effectiveness in predicting tornadoes and providing important situational awareness during severe weather operations. Visiting forecasters will have the opportunity to direct future development of TORP and its visualization in AWIPS-II by evaluating the products through real-time and archived weather events. Additionally, phased array radar data will be explored for one archived case.
Partners: NWS Radar Operations Center