Showing 1 - 12 of 12 results

The ECMWF Extended range forecasts: Introduction

Format: Interactive modules (eLearning)

Extended range forecasts provide outlooks up to 46 days. This lesson examines sources of predictability, seasonal forecast skill and the ECMWF extended range forecasting system.

Discover Anemoi: Introduction to Anemoi

Discover Anemoi: Introduction to Anemoi

Format: Videos
Playlist: Discover Anemoi: Webinar Series
Get started with Anemoi, ECMWF's open-source framework for machine learning weather forecasting. In this introductory...

Ensemble Forecasting: Sources of forecast uncertainty (introduction)

Format: Interactive modules (eLearning)

Ensembles are run to account for uncertainties in initial conditions. This lesson explores the sources of error in NWP, how they are quantified, and how ensembles are evaluated.

Forecast Jumpiness: An introduction

Format: Interactive modules (eLearning)

There are times when consecutive forecasts can 'jump' significantly. This lesson will discuss the ways in which forecast jumpiness can appear and how it can be mitigated.

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...

Seasonal forecasting

Format: Interactive modules (eLearning)

Seasonal forecasting is useful in planning for many sectors. This lesson will explore seasonal predictability, how numerical seasonal forecast models work and their outputs.

Test Course Bouke, Martin, Imme

Format: Interactive modules (eLearning)

This course is to find different options within Moodle for Bouke Hefting and to play around to see what's possible and what not

Test course Janine Quist - DestinE

Format: Interactive modules (eLearning)

TEST course created by Janine Quist to get onboarded in the Moodle environment

Test Wageningen University

Format: Interactive modules (eLearning)

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

Format: Interactive modules (eLearning)

The EFI provides specialised forecast guidance for anomalous, extreme, or severe weather events. In this lesson you will learn how EFI, SOT and M-climate are built.

Training course: Machine learning for weather prediction

Event: - | ECMWF
Tags: Machine learning