Showing 1 - 12 of 16 results
Machine Learning for Operational Forecasters Webinar 3: Case Studies

Machine Learning for Operational Forecasters Webinar 3: Case Studies

Format: Videos
Published: December 3, 2025
This webinar presents a range of case studies comparing the AIFS Single v1 and AIFS ENS v1 models with ECMWF’s IFS and...
Machine Learning for Operational Forecasters Webinar 2: What you need to be aware of

Machine Learning for Operational Forecasters Webinar 2: What you need to be aware of

Format: Videos
Published: November 20, 2025
This webinar explores key considerations for operational forecasters when using forecasts produced by AIFS machine...
Machine Learning for Operational Forecasters Webinar 1: Discover Machine Learning Models

Machine Learning for Operational Forecasters Webinar 1: Discover Machine Learning Models

Format: Videos
Published: November 20, 2025
This webinar briefly describes ECMWF's machine learning work and models - AIFS Single v1 and AIFS ENS v1. How to access...
Introduction to AIFS ENS v1

Introduction to AIFS ENS v1

Format: Videos
Published: June 24, 2025
On Tuesday 1 July 2025, the first version of the Artificial Intelligence Forecasting System (AIFS) Ensemble model will...
Introduction to AIFS Single v1

Introduction to AIFS Single v1

Format: Videos
Published: February 24, 2025
On Tuesday 25 February 2025, a new version of the deterministic model of the Artificial Intelligence Forecasting System...
The Extreme Forecast Index (EFI) and the Shift Of Tail (SOT) index

The Extreme Forecast Index (EFI) and the Shift Of Tail (SOT) index

Format: Interactive modules (eLearning)
Published: May 15, 2023

Learn how EFI, SOT and Model Climate are built and provide forecast guidance for extreme, or severe weather events.

Ensemble Forecasting: Sources of forecast uncertainty (introduction)

Ensemble Forecasting: Sources of forecast uncertainty (introduction)

Format: Interactive modules (eLearning)
Published: May 15, 2023

Learn about sources of error in NWP, how they are quantified, and how ensembles are evaluated.

Introduction to the parametrization of sub-grid processes

Introduction to the parametrization of sub-grid processes

Format: Interactive modules (eLearning)
Published: May 15, 2023

Learn how sub-grid-scale processes (not explicitly simulated in NWP), are parameterised and how challenges are overcome.

An introduction to Data Assimilation

An introduction to Data Assimilation

Format: Interactive modules (eLearning)
Published: May 15, 2023

Learn about data assimilation and how it is used to define ‘optimal' initial conditions for NWP at ECMWF.

 Sources of Uncertainty

Sources of Uncertainty

Format: Interactive modules (eLearning)
Published: May 15, 2023

Learn about uncertainties and chaotic behaviour in NWP, why ensembles are needed and how they are used at ECMWF.

Seasonal forecasting

Seasonal forecasting

Format: Interactive modules (eLearning)
Published: May 15, 2023

Learn about seasonal predictability, how numerical seasonal forecast models work and their outputs.