Showing 1 - 12 of 16 results
Introduction to AIFS ENS v1

Introduction to AIFS ENS v1

Format: Videos
Playlist: ECMWF AIFS Updates
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
Playlist: ECMWF AIFS Updates
On Tuesday 25 February 2025, a new version of the deterministic model of the Artificial Intelligence Forecasting System...
Machine Learning for Operational Forecasters Webinar 3: Case Studies

Machine Learning for Operational Forecasters Webinar 3: Case Studies

Format: Videos
Playlist: Webinar Series: Machine Learning for operational forecasters
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
Playlist: Webinar Series: Machine Learning for operational forecasters
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
Playlist: Webinar Series: Machine Learning for operational forecasters
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.

Satellite observations and their role in NWP

Satellite observations and their role in NWP

Format: Interactive modules (eLearning)

Learn about the role of satellite observations and measurements, and how these are assimilated and monitored for NWP.

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.

Sources of Uncertainty

Sources of Uncertainty

Format: Interactive modules (eLearning)

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

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.

Introduction to the parametrization of sub-grid processes

Introduction to the parametrization of sub-grid processes

Format: Interactive modules (eLearning)

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