
This webinar series focuses on ECMWF machine learning models and what you might need to know as an operational forecaster to use their outputs effectively. The webinars will focus on ECMWF's AIFS Single and AIFS ENS models.
Webinars are aimed at operational forecasters from ECMWF Member and Co-operating States. Operational forecasters in National Meteorological Services and other organisations from around the world are welcome to join however some data and tools may not be available to forecasters from non-ECMWF Member and Co-operating States.
All webinars will be recorded and made available on YouTube afterwards.
Webinars
Webinar 1 - Discover Machine Learning Models for Operational Forecasters
11 November 2025, 10:00 - 11:00 UTC / 11:00 - 12:00 CET
This webinar briefly described ECMWF's machine learning work and models - AIFS Single v1 and AIFS ENS v1. How to access the machine learning model forecast data and products using ecCharts and OpenCharts was demonstrated. An overview of future plans for the models was given.
Speakers: Milana Vuckovic, Gabriel Moldovan, Becky Hemingway (ECMWF)
Recording: https://youtu.be/xKE5UmPEN2I
Webinar 2 - What you need to be aware of when using ECMWF's Machine Learning models
18 November 2025, 10:00 - 11:00 UTC / 11:00 - 12:00 CET
This webinar explored key considerations for operational forecasters when using forecasts produced by AIFS machine learning models. It included verification results comparing AIFS with ECMWF’s IFS and other machine learning models, and highlighted important points for forecasters to consider when interpreting verification scores.
Speakers: Meghan Plumridge, Thomas Haiden (ECMWF)
Recording: https://youtu.be/5WpO0xS-qCg
Webinar 3 - Case Studies
25 November 2025, 14:00 - 15:00 UTC / 15:00 - 16:00 CET
This webinar will present a range of case studies comparing the AIFS Single v1 and AIFS ENS v1 models with ECMWF’s IFS and other machine learning models, supported by model performance statistics and verification scores. It will also discuss known AIFS forecast issues.
Speakers: Linus Magnusson (ECMWF)
Recording: https://youtu.be/uP7LQYWvREY