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Microburst precursor detector utilizing microwave radar

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TLDR
In this paper, a microburst precursor detector utilizes a multiplicity of radar beams (1-4) and samples radar returns, in each beam, from meteorological radar signal reflectors and processes (16) the signal returns in a statistical manner to determine average radar reflectivity and to extract doppler signal parameters.
Abstract
A microburst precursor detector utilizes a multiplicity of radar beams (1-4) and samples radar returns, in each beam, from meteorological radar signal reflectors and processes (16) the signal returns in a statistical manner to determine average radar reflectivity and to extract doppler signal parameters. These parameters are utilized to determine a second set of parameters; average doppler frequency within each radar beam, doppler spectral spread within each radar beam, and the skewness of the doppler spectrum in each beam. The second set of parameters is processed (18-20) to establish the existence of a microburst, predicted surface impact, time to impact, wind shear surface location and track, and the magnitude of the wind shear.

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References
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Radar detection of hazardous small scale weather disturbances

David Atlas
TL;DR: In this article, the authors use the difference Doppler spectrum (DDS) to detect microbursts, low level wind shear, and other weather disturbances, which are hazardous to aircraft operations and to the public at large.
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TL;DR: In this paper, the authors measured and displayed wind conditions along the projected flight path of an aircraft and compared wind velocity and direction at the aircraft and at the projected touchdown or takeoff point of the aircraft, and the existence of a wind gradient or wind shear line along the flight path is predicted.
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TL;DR: In this paper, the radar analyzes the received reflected signals in the frequency domain to determine if there is a windshear condition in the air on the front of the aircraft.
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