cd /news/machine-learning/aircraft-aware-clear-air-turbulence-… · home › topics › machine-learning › article
[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 views25 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 Crash-Safe Agent Workflows with Pi Durable and SQLite Extract Anything From Anywhere: Building Document AI Pipeline with GLINER Beyond Zero Shot Your Agent Loop Doesn’t Need an LLM for Every Decision
── more in #machine-learning 4 stories · sorted by recency
── more on @xgboost 3 stories trending now
sponsored brought to you by zahid.host 4,200+ EU-deployed projects
reading about agents? ship yours in a single git push.

Run your AI side-project on zahid.host

EU-based hosting, git-push deploys, automatic HTTPS, no cold starts. Free tier with a custom domain — perfect for shipping the agent you just read about.

$git push zahid main
→ Live at https://your-agent.zahid.host ✓
Get free account → Pricing
from €0/mo · no card required
LIVE [news/aircraft-aware-clear…] indexed:0 read:1min 2026-06-15 · —