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RISA Bayesian Neural Network for Severe-Hail Size Prediction
Publisher: American Meteorological Society
Abstract: The National Severe Storms Laboratory has developed algorithms that compute a number of Doppler radar and environmental attributes known to be relevant for the detection/prediction of severe hail. Based on these attributes, ...
The Use of Single-Doppler Radar for Estimating Maximum Hailstone Size
Publisher: American Meteorological Society
Abstract: The relationship between a storm's divergent outflow magnitude at upper levels and maximum hailstone size was investigated by analyzing single-Doppler radar data for 49 severe hailstorms. Two different techniques were ...
Verification of Public Weather Forecasts Available via the Media
Publisher: American Meteorological Society
Abstract: The question of who is the ?best? forecaster in a particular media market is one that the public frequently asks. The authors have collected approximately one year's forecasts from the National Weather Service and major ...
A Real-Time, Three-Dimensional, Rapidly Updating, Heterogeneous Radar Merger Technique for Reflectivity, Velocity, and Derived Products
Publisher: American Meteorological Society
Abstract: With the advent of real-time streaming data from various radar networks, including most Weather Surveillance Radars-1988 Doppler and several Terminal Doppler Weather Radars, it is now possible to combine data in real time ...
Rapid-Scan Radar Observations of an Oklahoma Tornadic Hailstorm Producing Giant Hail
Publisher: American Meteorological Society
Abstract: AbstractRapid-scan radar observations of a supercell that produced near-record size hail in Oklahoma are examined. Data from the National Weather Radar Testbed Phased Array Radar (PAR) in Norman, Oklahoma, are used to study ...
The Severe Hazards Analysis and Verification Experiment
Publisher: American Meteorological Society
Abstract: During the springs and summers of 2006 through 2008, scientists from the National Severe Storms Laboratory and students from the University of Oklahoma have conducted an enhanced severe-storm verification effort. The primary ...
The Gust-Front Detection and Wind-Shift Algorithms for the Terminal Doppler Weather Radar System
Publisher: American Meteorological Society
Abstract: The Federal Aviation Administration's Terminal Doppler Weather Radar (TDWR) system was primarily designed to address the operational needs of pilots in the avoidance of low-altitude wind shears upon takeoff and landing at ...
An Enhanced Hail Detection Algorithm for the WSR-88D
Publisher: American Meteorological Society
Abstract: An enhanced hail detection algorithm (HDA) has been developed for the WSR-88D to replace the original hail algorithm. While the original hail algorithm simply indicated whether or not a detected storm cell was producing ...
Evaluating the Performance of WSR-88D Severe Storm Detection Algorithms
Publisher: American Meteorological Society
Abstract: This paper discusses some important issues and problems associated with evaluating the performance of radar-based severe storm detection algorithms. The deficiencies of using Storm Data as a source of verification are ...
The National Severe Storms Laboratory Mesocyclone Detection Algorithm for the WSR-88D
Publisher: American Meteorological Society
Abstract: The National Severe Storms Laboratory (NSSL) has developed a mesocyclone detection algorithm (NSSL MDA) for the Weather Surveillance Radar-1988 Doppler (WSR-88D) system designed to automatically detect and diagnose the ...