The Meteorological Archival and Retrieval System (MARS) enables users to access ECMWF’s data. This lesson will teach you how to create a customised data retrieval.

This lesson will provide a quick overview of Metview's main features and enable you to use Metview to analyse and edit input data for the single-column model, run the model and visualise its output.

This course includes 6 modules and is as introduction to the main topics, from the processing of observations to data assimilation, forecasting and post-processing.

This course includes 5 modules and focuses on the key concepts of Machine Learning.

This course includes 6 hands-on modules on the main topics of numerical weather and climate prediction.

Dear participants,Welcome to the e-learning section of the "Numerical methods for weather prediction" training course that will take place at the ECMWF headquarters in Reading on 11 to 15 November 20...

This lesson contains four case studies which explore the conditions that cause and how to identify deep convection including predictability and forecast errors.

This lesson will take you through what convection is and the phenomena it causes.

This lesson looks at the three classes of parametrization schemes and the main characteristics of the IFS scheme.

This tutorial will demonstrate how to investigate a specific flood event using data from the GLObal Flood