This lesson provides an introduction to the different sources of climate data and guides you to find the data you need.

This lessen provides an overview of the various types of climate data resources, and teaches what Essential Climate Variables are. It will indicate the main advantages and disadvantages of the various data sources.

This lesson teaches users the basics of climate reanalysis. The lesson explains how reanalyses are made, an overview of global reanalyses datasets, and their strengths and limitations.

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

Metview is a powerful meteorological workstation application that enables you to access, process and visualise meteorological data. In this lesson you will learn how to use MetView.

The Meteorological Archival and Retrieval System (MARS) enables users to access ECMWF’s data. This lesson will look at MARS requests and explore its compute capability.

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 module will teach you about data sources, the role of satellite observations, satellite data measurements, assimilation, and monitoring of satellite observations.

This lesson covers how climate change impacts the agriculture sector. Responses of different crop types to climate change is explained. Adaptation measures are introduced and how CDS data can be used for this. Examples are given from the SIS Global Agriculture.

This lesson provides an introduction to C3S applications in the tourism sector. It identifies C3S data and tools useful for tourism stakeholders in supporting climate change adaptation.

Dear participants,

Welcome to the e-learning section of the Use and interpretation of ECMWF products course that will take place online from Monday 5 to Thursday 8 February 2024.

The aim of the course is to increase your ability to examine, assess, and utilise ECMWF output products and to provide you advanced training on the operational aspects of the ECMWF forecasting system. It will help you when using ECMWF products either directly for forecasting or in research and development work. The aim is to help you get maximum benefit from our Centre's products!

Lectures on a variety of aspects of the ECMWF forecasting system and ECMWF forecasting products will be complemented with practical sessions where you will work in small groups with an expert trainer to assess ECMWF forecasts in real case study situations. You will also learn how to effectively use web applications for data visualisation.

An example timetable is shown for the course in 2023 to give you some idea of what is covered, we will inform you once this years' edition is final. Please note that last years' course was in person, so some modules will be adap[ted for an online audience. All lectures will be given in English.

As you know, you will be required to complete pre-course activities which will take up around 12 hours of self-study. These activities include completing online e-learning modules, creating a poster slide or presentation on how you are currently using ECMWF products and contributing to online discussion forums. The completion of these tasks will ensure you all have the knowledge to get the most out of the interactive part of the course and it will also help the trainers to better understand what you would like to achieve and discuss during the course.

We encourage you to explore this e-learning platform and make use out of its interactive functions such as the forums, to get to know each other and discuss anything you'd like between participants ahead of meeting each other in October.

We look forward to welcoming you on our course!

Becky Hemingway, course lead

Dear participants,

Welcome to the e-learning section of the Use and interpretation of ECMWF products course that will take place at the ECMWF headquarters in Reading on 9 to 12 October 2023.

The aim of the course is to increase your ability to examine, assess, and utilise ECMWF output products and to provide you advanced training on the operational aspects of the ECMWF forecasting system. It will help you when using ECMWF products either directly for forecasting or in research and development work. The aim is to help you get maximum benefit from our Centre's products!

Lectures on a variety of aspects of the ECMWF forecasting system and ECMWF forecasting products will be complemented with practical sessions where you will work in small groups with an expert trainer to assess ECMWF forecasts in real case study situations. You will also learn how to effectively use web applications for data visualisation.

An example timetable is shown for the course in 2022 to give you some idea of what is covered, we will inform you once this years' edition is final. Please note that ask lectures will be given in English.

As you know, you will be required to complete pre-course activities which will take up around 12 hours of self-study. These activities include completing online e-learning modules, creating a poster or presentation on how you are currently using ECMWF products and contributing to online discussion forums. The completion of these tasks will ensure you all have the knowledge to get the most out of the interactive part of the course and it will also help the trainers to better understand what you would like to achieve and discuss during the course.

We encourage you to explore this e-learning platform and make use out of its interactive functions such as the forums, to get to know each other and discuss anything you'd like between participants ahead of meeting each other in October.

We look forward to welcoming you in Reading!

Becky Hemingway, course lead