{"id":4693,"date":"2025-07-22T12:40:48","date_gmt":"2025-07-22T12:40:48","guid":{"rendered":"https:\/\/editorial.buluttan.com\/?p=4693"},"modified":"2025-07-22T15:43:45","modified_gmt":"2025-07-22T15:43:45","slug":"extreme-weather-aviation-safety-disruption","status":"publish","type":"post","link":"https:\/\/editorial.buluttan.com\/?p=4693","title":{"rendered":"The Cost of Weather; How Weather Shapes Flight Operations"},"content":{"rendered":"\n

Toronto Pearson International Airport, one of Canada\u2019s largest airports in terms of air traffic and passenger volume, experienced an unprecedented event earlier this year<\/a>. On the 18th of February 2025, a Delta Airlines flight flipped over while attempting a landing. In a stroke of luck, most passengers left the plane unharmed, with some passengers sustaining minor injuries.<\/p>\n\n\n\n

While extreme weather events are common in Canada, partly due to its location near the Great Lakes and within the Northern Hemisphere, weather-related disruptions in aviation are rising worldwide, not just in Canada.<\/p>\n\n\n\n

The Rising Global Aviation Cost of Weather<\/strong><\/h2>\n\n\n\n

According to the American Federal Aviation Agency, weather accounted for 74% of delayed flights in 2024 on U.S. soil alone<\/a>, incurring millions of dollars in operational costs to both airlines and airports. As it stands, an industry as reliant as aviation needs to adapt to ever-evolving weather patterns, especially as climate change becomes more and more prominent in our daily lives.<\/p>\n\n\n\n

\"opsnet<\/figure>\n\n\n\n

Where Traditional Forecasting Comes Up Short<\/strong><\/h2>\n\n\n\n

The aviation industry<\/a> requires on-the-go, hyper-local and focused weather forecasting<\/a> for planned flights. Due to the considerable impact of local factors on weather patterns, conventional low-resolution weather forecasting models, which primarily forecast for broad regions, need additional enhancement to better serve the aviation industry’s requirements.\u00a0<\/p>\n\n\n\n

As an example, a traditional forecast creates predictions every 12 km; however, it averages out the weather within the area of interest. A model with a 12 km resolution might show clear skies or light rain for the same area, while a 3 km resolution model could reveal a locally developed thunderstorm, providing a dispatch crew with more accurate and actionable information. While such localized effects may not greatly impact everyday commuters, they are critical for aviation professionals in ensuring flight safety and punctuality.<\/p>\n\n\n\n

Where We Come In<\/strong><\/h2>\n\n\n\n

Our state of the art, AI-powered weather forecasting models<\/a> can provide;<\/p>\n\n\n\n

Runway level weather insights to prevent uninformed decisions during take-offs and landings, for both current weather trend and predicted events the next day;<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n\n\n\n