Showing 1 - 11 of 11 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.

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.

Seasonal forecasting

Seasonal forecasting

Format: Interactive modules (eLearning)

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

Webinar Series: Machine Learning for operational forecasters Past

Webinar Series: Machine Learning for operational forecasters

Event: - | Online
Tags: Forecasting
This webinar series focuses on ECMWF machine learning models and what you might need to know as an operational...