Close Menu
Meteorological Technology International
  • News
    • A-E
      • Agriculture
      • Automated Weather Stations
      • Aviation
      • Climate Measurement
      • Data
      • Developing Countries
      • Digital Applications
      • Early Warning Systems
      • Extreme Weather
    • G-P
      • Hydrology
      • Lidar
      • Lightning Detection
      • New Appointments
      • Nowcasting
      • Numerical Weather Prediction
      • Polar Weather
    • R-S
      • Radar
      • Rainfall
      • Remote Sensing
      • Renewable Energy
      • Satellites
      • Solar
      • Space Weather
      • Supercomputers
    • T-Z
      • Training
      • Transport
      • Weather Instruments
      • Wind
      • World Meteorological Organization
      • Meteorological Technology World Expo
  • Features
  • Online Magazines
    • January 2026
    • April 2025
    • January 2025
    • September 2024
    • April 2024
    • Archive Issues
    • Subscribe Free!
  • Opinion
  • Videos
  • Supplier Spotlight
  • Expo
LinkedIn X (Twitter) Facebook
  • Sign-up for Free Weekly E-Newsletter
  • Meet the Editors
  • Contact Us
  • Media Pack
LinkedIn Facebook
Subscribe
Meteorological Technology International
  • News
      • Agriculture
      • Automated Weather Stations
      • Aviation
      • Climate Measurement
      • Data
      • Developing Countries
      • Digital Applications
      • Early Warning Systems
      • Extreme Weather
      • Hydrology
      • Lidar
      • Lightning Detection
      • New Appointments
      • Nowcasting
      • Numerical Weather Prediction
      • Polar Weather
      • Radar
      • Rainfall
      • Remote Sensing
      • Renewable Energy
      • Satellites
      • Solar
      • Space Weather
      • Supercomputers
      • Training
      • Transport
      • Weather Instruments
      • Wind
      • World Meteorological Organization
      • Meteorological Technology World Expo
  • Features
  • Online Magazines
    1. April 2026
    2. January 2026
    3. September 2025
    4. April 2025
    5. January 2025
    6. September 2024
    7. April 2024
    8. January 2024
    9. Archive Issues
    10. Subscribe Free!
    Featured
    May 5, 2026

    In this Issue – April 2026

    By Web TeamMay 5, 2026
    Recent

    In this Issue – April 2026

    May 5, 2026

    In this Issue – January 2026

    November 27, 2025

    In this Issue – September 2025

    August 11, 2025
  • Opinion
  • Videos
  • Supplier Spotlight
  • Expo
Facebook LinkedIn
Subscribe
Meteorological Technology International
Climate Measurement

Airline develops AI tool to deal with weather disruptions

Paul WillisBy Paul WillisJanuary 21, 20202 Mins Read
Share LinkedIn Facebook Twitter Email
Share
LinkedIn Facebook Twitter Email

US airline Delta Air Lines is developing an artificial intelligence (AI) platform that will help its crews and passengers deal with the impact of extreme weather.

The machine-learning platform, the first of its kind within the aviation industry, was announced by Delta Air Lines CEO Ed Bastian during a keynote speech at the annual Consumer Electronics Show in Las Vegas, Nevada, earlier this month.

Bastian did not provide a specific product name for the technology but said it was a proprietary tool focused on helping passengers and flight crews overcome weather occurrences that impact the routes they fly.

“We’ve cancelled cancellations, but we still have to deal with weather variables like hurricanes or a nasty Nor’easter, and that’s why the team in our operations and customer center is developing the industry’s first machine-learning platform to help ensure a smooth operation even in extreme conditions,” Bastian told the show. “The system uses operational data to run scenarios and project future outcomes while simulating all the variables of running a global airline with more than 1,000 planes in the sky.”

The airline said the tool – expected to be launched in the spring – is capable of creating hypothetical outcomes for decision making that occurs when large-scale disruptions caused by weather are predicted.

The technology won’t be the first proprietary weather-related application the company has developed. Delta has also developed a flight weather viewer tablet application that relies on algorithms developed by the US National Center for Atmospheric Research (NCAR) to give pilots a three-dimensional view of their flight path to help them predict turbulence.

Previous ArticleResearch reveals how cracks in sea ice affect weather
Next Article New research uncovers impact of aerosol emissions on climate

Read Similar Stories

Climate Measurement

Record-level global temperatures expected to persist over next five years

May 28, 20263 Mins Read
Weather Instruments

R.M. Young Company reengineers SNOdar snow-depth sensor

May 21, 20262 Mins Read
Climate Measurement

Cloud measurement campaign targets improved climate model accuracy

May 20, 20263 Mins Read
Latest News

Fiji launches $15.4m initiative to expand early warning systems to vulnerable communities

May 28, 2026

Record-level global temperatures expected to persist over next five years

May 28, 2026

FEATURE: Turning contrail science into flight plans

May 27, 2026

Receive breaking stories and features in your inbox each week, for free


Enter your email address:


Supplier Spotlights
  • LCJ Capteurs
Getting in Touch
  • Contact Us / Advertise
  • Meet the Editors
  • Media Pack
  • Free Weekly E-Newsletter
Our Social Channels
  • Facebook
  • LinkedIn
© 2026 UKi Media & Events a division of UKIP Media & Events Ltd
  • Cookie Policy
  • Privacy Policy
  • Terms and Conditions
  • Notice and Takedown Policy

Type above and press Enter to search. Press Esc to cancel.