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ECMWF IFS Cycle 49r1 webinar: Verification, new products and technical aspects - 11 June 2024

ECMWF IFS Cycle 49r1 webinar: Verification, new products and technical aspects - 11 June 2024

Format: Videos
ECMWF’s next scientific model upgrade at the Data Centre in Bologna, IFS Cycle 49r1, is scheduled for October 2024...
ECMWF IFS Cycle 48r1 webinar: Verification, new products and technical aspects - 15 March 2024

ECMWF IFS Cycle 48r1 webinar: Verification, new products and technical aspects - 15 March 2024

Format: Videos
In this webinar Florian Pappenberger, Director of Forecasts, and Matthieu Chevallier, Head of Evaluation, present the...
Machine Learning for Operational Forecasters Webinar 3: Case Studies

Machine Learning for Operational Forecasters Webinar 3: Case Studies

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

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

This webinar briefly describes ECMWF's machine learning work and models - AIFS Single v1 and AIFS ENS v1. How to access...
The ECMWF sub-seasonal (extended range) forecasts: Introduction

The ECMWF sub-seasonal (extended range) forecasts: Introduction

Format: Interactive modules (eLearning)

Learn about sources of predictability, seasonal forecast skill and the ECMWF sub-seasonal 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)

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

Seasonal forecasting

Seasonal forecasting

Format: Interactive modules (eLearning)

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