Adding value to numerical weather predictions for the aviation industry in South Africa

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dc.contributor.author Jacobs, Quinton
dc.contributor.author Landman, W.A. (Willem Adolf), 1964-
dc.date.accessioned 2020-09-07T07:05:38Z
dc.date.available 2020-09-07T07:05:38Z
dc.date.issued 2019
dc.description.abstract The aviation industry forms part of the backbone of modern society. Air travel enables people and goods to be transported over vast distances in short periods of time. The aviation industry, therefore, enables the populace of the world to interact in a way no other form of transport could do before. This heavy reliance on air travel brings with it a great responsibility to the safety of passengers and cargo. One of the greatest safety hazards the aviation industry faces is the weather, since an aircraft, on the ground or in the air, is subjected to weather-related hazards. Such hazards include reduced visibility due to fog or precipitation, windy conditions (crosswinds or gust fronts), ice accumulation on the wings of the aircraft reducing lift, turbulence, and the numerous hazards associated with thunderstorms. en_ZA
dc.description.department Geography, Geoinformatics and Meteorology en_ZA
dc.description.librarian am2020 en_ZA
dc.description.uri https://commons.erau.edu/ijaaa en_ZA
dc.identifier.citation Jacobs, Q. & Landman, W.A. (2019). Adding value to numerical weather predictions for the aviation industry in South Africa.. International Journal of Aviation, Aeronautics, and Aerospace, 6(5):1-23. https://DOI.org/10.15394/ijaaa.2019.1428. en_ZA
dc.identifier.issn 2374-6793
dc.identifier.other 10.15394/ijaaa.2019.1428
dc.identifier.uri http://hdl.handle.net/2263/76058
dc.language.iso en en_ZA
dc.publisher Embry-Riddle Aeronautical University en_ZA
dc.rights This work is licensed under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 International License. en_ZA
dc.subject Aviation industry en_ZA
dc.subject Air travel en_ZA
dc.subject Passengers en_ZA
dc.subject Cargo en_ZA
dc.title Adding value to numerical weather predictions for the aviation industry in South Africa en_ZA
dc.type Article en_ZA


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