The Impact of Range Oversampling Processing on Tornado Velocity Signatures Obtained from WSR-88D Super-Resolution Data. Authors: Torrres, S.M. and Curtis, C.D. Journal: Journal of Atmospheric and Oceanic Technology Publication Date: Online 7/28/15 Important Conclusions: Researchers applied “range oversampling,” a technique that cuts radar update times in half while increasing the accuracy of the data, to WSR-88D super-resolution data. WSR-88D super-resolution
Tag: Radar Research News
If he were to write his autobiography, the title of the book might be “From Gaucho to Cowboy”. Sebastian Torres grew up in Argentina, and earned his bachelor’s degree in Electrical Engineering in his native country. In 1997, he came to the University of Oklahoma, where he attained a Master’s degree in the same field.
This week, researchers from NOAA’s National Severe Storms Laboratory will launch the 2015 Phased Array Radar Innovative Sensing Experiment to assess the impacts of rapidly updating radar data on forecasters’ warning decision performance. The project will be carried out over the course of six weeks, and will conclude on September 25. As in previous years,
Weather forecasters rely on an incredibly large amount of information when they make forecasts and issue warnings. A new system, activated by NOAA’s National Weather Service last week, quickly harnesses the tremendous amount of weather data from multiple sources, intelligently integrates the information, and provides a detailed picture of the current weather. The Multiple Radar
J.T. Dooley, December 12, 1932 – August 27, 2014 J. T. Dooley was one of the early staff members of the NOAA National Severe Storms Lab. In 1963, while working for the Weather Bureau’s National Severe Storms Project in Kansas City, Missouri, Dooley transferred to Oklahoma City to continue work in severe storm detection and