Showing 13 - 24 of 26 results
Introduction to AIFS Single v1

Introduction to AIFS Single v1

Format: Videos
On Tuesday 25 February 2025, a new version of the deterministic model of the Artificial Intelligence Forecasting System...
Online computing training week 2024 - Transition to the new CDS and ADS

Online computing training week 2024 - Transition to the new CDS and ADS

Format: Videos
This session provides an update on the transition to the new Copernicus Data Store (CDS) and Atmospheric Data Store (ADS...
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...
ECMWF IFS Cycle 50r1 webinar: Introduction to Cycle 50r1 - 15 September 2025

ECMWF IFS Cycle 50r1 webinar: Introduction to Cycle 50r1 - 15 September 2025

Format: Videos
ECMWF’s next scientific model upgrade at the Data Centre in Bologna will be IFS Cycle 50r1. 50r1 brings major changes to...
The PREd - Product Requirements Editor

The PREd - Product Requirements Editor

Format: Videos
This webinar focuses on the Products Requirements Editor (PREd), which: - Allows users to modify and manage real-time...
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.

Forecast Jumpiness: An introduction

Forecast Jumpiness: An introduction

Format: Interactive modules (eLearning)

Learn about the ways in which forecast jumpiness can appear and how it can be mitigated.

Ensemble Forecasting: Sources of forecast uncertainty (introduction)

Ensemble Forecasting: Sources of forecast uncertainty (introduction)

Format: Interactive modules (eLearning)

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

Understanding Uncertainty in Weather Forecasts

Understanding Uncertainty in Weather Forecasts

Format: Interactive modules (eLearning)

Learn about the main sources of uncertainty in weather forecasting and how they are addressed in early warning systems.