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IATA expands Turbulence Aware platform with more airlines and integrators

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IATA expands Turbulence Aware platform with more airlines and integrators
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Kamil Al-Awadi Regional Vice President, Africa and Middle East | International Air Transport Association - IATA

Managing turbulence remains a priority in aviation safety and efficiency as air travel demand rises alongside changing weather patterns. The Turbulence Aware platform, managed by the International Air Transport Association (IATA), aggregates anonymized data from flights operated by participating airlines. This data provides real-time turbulence reports, aiding pilots and dispatchers in selecting optimal flight paths to avoid turbulence and maximize fuel efficiency, thereby reducing CO2 emissions.

"Making use of accurate and up-to-date data in Turbulence Aware helps flight crews' efforts to avoid or at least mitigate the effects of turbulence," said Willie Walsh, IATA’s Director General. "The quality of this data improves with each new airline contributing to the platform. So the strong take-up of Turbulence Aware by airlines is important. As ever, the key to improving aviation safety is working together and we look forward to welcoming more airline participants in the coming year."

The scope of data transmission for Turbulence Aware has expanded through agreements with The Weather Company, Lufthansa Systems, PACE TXT, APiJET, BCI, and Storkjet over the past year. These companies now offer access to Turbulence Aware data via their existing solutions for cockpit instruments, flight planning, and tracking systems. This integration allows pilots and planners to receive turbulence information directly within their primary workflows.

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IATA launched Turbulence Aware to help airlines reduce turbulence impact, which is a leading cause of passenger and crew injuries. Currently, more than 25 airlines contribute to and use the platform's data through over 2,600 aircraft. In 2023 alone, it generated 38 million reports. Meteorological offices also utilize this data for modeling validation while academic institutes use it for research purposes.

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