Showing 37 - 48 of 60 results
Introduction to ECMWF Computing Services 2025: JupyterHub on Atos HPC and cloud

Introduction to ECMWF Computing Services 2025: JupyterHub on Atos HPC and cloud

Online Training Course 2025: Introduction to ECMWF Computing Services This video is part of the Introduction to ECMWF...
Introduction to ECMWF Computing Services 2025: European Weather Cloud

Introduction to ECMWF Computing Services 2025: European Weather Cloud

Online Training Course 2025: Introduction to ECMWF Computing Services This video is part of the Introduction to ECMWF...
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...
Introduction to ECMWF computing services: ecFlow Part 2

Introduction to ECMWF computing services: ecFlow Part 2

Format: Videos
Presented by Axel Bonet and Iain Russell from ECMWF
Introduction to ECMWF computing services: ecFlow Part 1

Introduction to ECMWF computing services: ecFlow Part 1

Format: Videos
Presented by Axel Bonet and Iain Russell from ECMWF
Introduction to the Scalable Acquisition and Pre-Processing (SAPP) system

Introduction to the Scalable Acquisition and Pre-Processing (SAPP) system

Format: Interactive modules (eLearning)

The SAPP system is the ECMWF's operational acquisition and pre-processing system for observations and other input data.

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.

Using ECMWF computing facilities: the batch system

Using ECMWF computing facilities: the batch system

Format: Interactive modules (eLearning)

This lesson focuses on ECGATE - ECMWF's server allocated for users' tasks, from submitting jobs to correcting errors.

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.

Metview for the Single-Column Model (SCM)

Metview for the Single-Column Model (SCM)

Format: Interactive modules (eLearning)

This lesson provides an overview of Metview's main features to analyse and edit input data for the single-column model.

Exploring meteorological data through OGC web services

Exploring meteorological data through OGC web services

Format: Interactive modules (eLearning)

This lesson describes the web services used to visualise geographical data and outlines what OGC and INSPIRE are.