IMPROVING THE AVOIDANCE AND PREDICTION OF TURBULENCE FROM THUNDERSTORMS

Grant number: DP200102516 | Funding period: 2020 - 2023

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Abstract

One of the most critical weather-related safety issues for aviation is atmospheric turbulence caused by thunderstorms. Thunderstorm-generated turbulence is responsible for frequent serious injuries and significant costs to airlines that are ultimately passed on to passengers. Using extensive new data, case studies and state-of-the-art simulations, this project aims to improve our understanding of the dynamics and behaviour of thunderstorm-generated turbulence and its representation in weather forecast models. Expected outcomes of this project include the development of new methods to avoid and predict turbulence for use by the aviation industry. This research should provide significant benef..

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University of Melbourne Researchers