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Low Level Turbulence Detection For Airports

Anthony O' Connor et al · Embry-Riddle Aeronautical University · 2019

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<p><em>Abstract</em>—— Low level wind shear and turbulence present a serious safety risk to aircraft during the approach, landing and take-off phases. Despite many advances in on-board and ground based warning systems. Wind shear remains a formidable force that coupled with a microburst can overpower any aircraft. Aviation reports have concluded that pilots need to have improved information in relation to tailwinds, wind shear and wind variations on approach and during the landing phases. Low level wind shear continues to cause disruption, delays and contribute to aircraft crashes. As recently as 2016, two Boeing aircraft crashed while attempting a Go-around manoeuver after encountering severe wind shear. One crash occurred at Dubai International Airport, despite this airport having some of the most advanced Low level wind shear and turbulence detection systems in the world. This paper will argue that a solution to the problem of forecasting low level wind shear and turbulence for the approach, landing and go-around flight phases for aircraft could be addressed by incorporating the Wind Urchin as part of the Low Level Wind Shear Alert System in all airports. Initial research produced a wind profile providing greater resolution of the wind data showing when turbulence is high and when it is safe for aircraft to land.</p>

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APA 7

al, A. O. C. E. (2019). Low Level Turbulence Detection For Airports. https://doi.org/10.15394/ijaaa.2019.1302

MLA

al, Anthony O' Connor et. "Low Level Turbulence Detection For Airports." 2019. https://doi.org/10.15394/ijaaa.2019.1302.

Chicago

al, Anthony O' Connor et. 2019. "Low Level Turbulence Detection For Airports.". https://doi.org/10.15394/ijaaa.2019.1302.

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al, A. O. C. E. 2019, Low Level Turbulence Detection For Airports, Embry-Riddle Aeronautical University, available at: https://doi.org/10.15394/ijaaa.2019.1302 [Accessed 8 Aug. 2026].

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Titolo
Low Level Turbulence Detection For Airports
Autore / collaboratori
Anthony O' Connor et al
Editore
Embry-Riddle Aeronautical University
Anno di pubblicazione
2019
ISSN
2374-6793
ISSN
2374-6793
Lingua
Inglés

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