Publications
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MIGFA: the Machine Intelligent Gust Front Algorithm for NEXRAD
Summary
Summary
Over a decade ago the FAA identified a need to detect and forecast movement of wind shear hazards such as gust fronts that impact the terminal air space. The Machine Intelligent Gust Front Algorithm (MIGFA) was developed to address this need (Delanoy and Troxel, 1993). The MIGFA product provides the...
Commercial aviation encounters with severe low altitude turbulence
Summary
Summary
Turbulence encounters continue to be one of the largest sources of personal injury in both commercial and general aviation. A significant percentage of these encounters occur without warning, at low altitudes, and have been observed to occur outside of the strong reflectivity storm cores where pilots typically anticipate severe wind...
An examination of wind shear alert integration at the Dallas/Ft. Worth International Airport (DFW)
Summary
Summary
The Dallas / Fort Worth International Airport (DFW) is one of the four demonstration system sites for the Integrated Terminal Weather System (ITWS). One of the primary benefits of the ITWS is a suite of algorithms that utilize data from the Terminal Doppler Weather Radar (TDWR) to generate wind shear...
Observations of non-traditional wind shear events at the Dallas/Fort Worth International Airport
Summary
Summary
During the past 20 years there has been great success in understanding and detecting microbursts. These "traditional" wind shear events are most prominent in the summer and are characterized by a two-dimensional, divergent outflow associated with precipitation loading from a thunderstorm downdraft or evaporative cooling from high-based rain clouds. Analysis...
Enhancement to Terminal Doppler Weather Radar to improve aviation weather services
Summary
Summary
This paper has described work underway to enhance the TDWRs capability to provide wind shear detection services in challenging conditions, and to provide a flexible platform with COTS hardware that would support future improvements. A Radar Data Acquisition (RDA) system retrofit will upgrade the transmitter, receiver and digital signal processing...
Operational Experience with TDWR/LLWAS-NE Integration at the Dallas, TX International Airport (DFW)
Summary
Summary
At nine major airports, both the Terminal Doppler Weather Radar (TDWR) and Network Extension of the Low-Level Wind shear Advisory System (LLWAS-NE) data will be used to detect and warn Air Traffic Control (ATC) of dangerous wind shear conditions. The integration of wind shear alerts from the two systems is...
WSP utility libraries
Summary
Summary
The ASR-9 Weather Systems Processor (WSP) augments the weather detection capability of existing ASR-9 radars to include low-level wind shear warnings, storm cell tracking and prediction, and improved immunity to false weather echoes due to anomalous propagation (AP). To economically develop and field an operational system at the 34 WSP...
Weather sensing and data fusion to improve safety and reduce delays at major west coast airports
Summary
Summary
The objective of this study was to analyze the weather sensing and data fusion required to improve safety and reduce delays at a number of west coast airports that are not currently scheduled to receive an Integrated Terminal Weather System (ITWS). This report considers the Los Angeles (LAX), San Francisco...
Wind shear detection using the Next Generation Airport Surveillance Radar
Summary
Summary
The Federal Aviation Administration (FAA) is deploying a Weather Systems Processor (WSP) for the current-generation Airport Surveillance Radar - ASR-9. This modification exploits the coherency of the ASR-9 to perform Doppler wind measurement. Signature recognition algorithms then automatically detect low altitude wind shear phenomena, track thunderstorm motion and display appropriate...
A comparative performance study of TDWR/LLWAS 3 integration algorithms for wind shear detection
Summary
Summary
This paper gives a brief overview of the history of the development of the TDWR/LLWAS 3 integration algorithms, a brief overview of the various algorithms, and a discussion of the comparative evaluation of the TDWR, LLWAS 3, and the three candidate TDWR/LLWAS 3 integration algorithms. This is followed by a...