Project Description

Back in April 2025, the scientific community gathered in Vienna for the EGU General Assembly, a key event for Earth, planetary, and space sciences.

During this session, our partners at ONERA (The French Aerospace Lab) presented an innovative forecasting method designed to address a persistent challenge in aviation: lightning strikes.

While incidents involving lightning rarely compromise safety, they frequently lead to costly maintenance and operational downtime. Predicting these events remains difficult, especially over oceans where data is limited.

The innovation: The team proposed a solution using Deep Neural Networks and computer vision. By processing data from NOAA’s GOES-R satellite and GFS models, the system generates calibrated lightning risk probability maps for very short term forecasting.

For ALBATROS, this work highlights how advanced AI can be leveraged to improve situational awareness and operational decision making in complex weather environments.

Want to know more? If you are interested in the details of this methodology and its potential applications in aviation safety, please feel free to reach out to us directly.

Event: EGU General Assembly 2025 (27 April – 2 May 2025)

👉 Read the abstract: https://meetingorganizer.copernicus.org/EGU25/EGU25-8890.html