Improvement in gust front algorithm detection capability using reflectivity thin lines versus azimuthal shears
Summary
Gust front detection is of concern for both Terminal Doppler Weather Radar (TDWR) and Next Generation Weather Radar (NEXRAD) systems. The automatic detection of gust fronts is desirable in the airport terminal environment because warnings of potentially hazardous gust front-related wind shears can be delivered to arriving and departing pilots. Information about estimated time of arrival and accompanying wind shifts can be used by an Air Traffic Control (ATC) supervisor to plan runway changes. Information on expected wind shifts and runway changes are also important for terminal capacity programs such as Terminal Air Traffic Control Automation (TATCA) and wake vortex advisory systems. In addition, the convergence. associated with gust fronts is often a factor in thunderstorm initiation and intensification. Knowledge of their locations and strengths can aid forecasters with thunderstorm forecasts. Experienced radar meteorologists can identify gust fronts in single Doppler radar data by the presence or radial convergence, azimuthal shear, and thin lines of reflectivity. The radial convergence signature is the most reliable of all of the signatures. Therefore, the formally-documented TDWR gust front algorithm is designed to automatically detect gust fronts through radial convergence.