A Thunderstorm Gust-Front Detection System. Part I. System Operation and Significant Case Studies. Part II. Statistical Results

A Thunderstorm Gust-Front Detection System. Part I. System Operation and Significant Case Studies. Part II. Statistical Results

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Published: 1979

Total Pages: 147

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The Dulles International Airport wind and wind shear detection system recorded more than 160 events from November 1976 through March 1978. Eighty-two percent of 113 significant events occurred in conjunction with thunderstorms, squall-lines and frontal passages. The chief source of false alarms for anemometers was boundary layer disturbances representing 10% of the total; while gravity shear waves related to the 500mb winds caused the most false alarms for pressure sensors (4% of the total). Using complementary arrays of wind and pressure sensors, total system false alarms can be greatly reduced. These data demonstrate the importance of stable surface layers in determining how well surface temperature and wind measurements represent flow at higher levels and explain underestimates of system severity. Moreover, because we demonstrate the value of wind vector information and since temperature is a scaler quantity, there seems little operational value in using temperature sensors as part of a detection system. Conversely, pressure sensors will not reliably detect relatively thin outflows (100-200 M thick) occurring at a distance from downflows having small dimensions. Again, the wind and pressure sensors combine to provide a total system offering good reliability for detection of thunderstorm outflows. The results suggest an array configuration (composed of wind and pressure jump sensors) for use in airport warning systems. This configuration extending about 10km from the airport provides a warning for Thunderstorm gust-fronts.


On the Potential Use of the Terminal Doppler Weather Radar Gust Front Detection Algorithm on the WSR-88D System. Part II: Detecting Non-gust Front Convergent Weather Phenomena

On the Potential Use of the Terminal Doppler Weather Radar Gust Front Detection Algorithm on the WSR-88D System. Part II: Detecting Non-gust Front Convergent Weather Phenomena

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Published: 1991

Total Pages: 44

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This study examines the capability of the Gust Front Detection Algorithm (GFDA) developed for the Terminal Doppler Weather Radar (TDWR) system to detect other types of non-gust front weather phenomena which are associated with patterns of convergence in a Doppler-radar radial velocity field. The potential use of the GFDA as a nowcasting tool, a mesoscale forecasting tool, and as a tool to detect other kinds of aviation hazards besides gust fronts, needs investigation. The phenomena studied include synoptic fronts, sea-breeze fronts, gravity waves, terrain-induced convergence boundaries, old thunderstorm outflow boundaries, and the convergence bands within extratropical cyclones associated with enhanced precipitation. Comparisons of the convergent characteristics of these other phenomena to those of gust fronts are made. In addition, several case studies are presented to demonstrate the ability of the GFDA to detect the non-gust front phenomena.