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[ARTICLE · art-28501] src=pub.towardsai.net ↗ pub= topic=machine-learning verified=true sentiment=· neutral

Aircraft-aware clear-air turbulence prediction with XGBoost on PIREPs and ERA5

Researchers developed an XGBoost model that predicts clear-air turbulence by incorporating aircraft-specific characteristics, using pilot reports (PIREPs) and ERA5 reanalysis data. The model outperforms traditional turbulence forecasts by accounting for how different aircraft types experience turbulence differently.

read1 min views1 publishedJun 15, 2026

Article URL: https://pub.towardsai.net/why-a-boeing-737-and-an-a380-dont-feel-the-same-turbulence-and-what-that-means-for-ml-7d43867e3d9d?source=friends_link&sk=108752943e51ac67cf343f3f443fac00

Comments URL: [https://news.ycombinator.com/item?id=48546241](https://news.ycombinator.com/item?id=48546241)

Points: 1
source & further reading
pub.towardsai.net — original article The Seven Capabilities Every Agent Harness Must Provide The Day the U.S. Government Killed Anthropic’s most Powerful AI Why Your RAG System Doesn’t Know What’s in Your PDFs (And How to Fix It)
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