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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 views24 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 Building a Production-Grade Coding Agent on Snowflake: From Trial Account to Enterprise Deployment Anthropic’s Claude Certified Architect Exam (CCA-F): The 40 Percent the CCA-F Practice Exam Never… Wicked Ticket (wiki-ticket): Graph Engineering for your current SLDC tools
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