Training

ecFlow is a workflow package that enables users to run a large number of programmes behind a firewall.

Five modules covering decision trees, deep learning, uncertainty and generative models, and physics-guided approaches.

Learn about the unique role of snow in forecasting, from short-range to seasonal time scales.

Learn about data assimilation and how it is used to define ‘optimal' initial conditions for NWP at ECMWF.

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.

From analysis of the past to future projections Short online courseBecause you don't have to be a climate scientist to make climate data work for you! ...

An introduction to the different sources of climate data and how to find them.

Learn how to use the Climate Data Store (CDS) for applications in the health sector. The lesson focuses on urban heat and data and indicators from SIS-European Health.

This lesson teaches how to use climate models in the development of national climate scenarios. Examples are provided for The Netherlands, Switzerland and the U.K.

Learn about Essential Climate Variables, the different types of climate data resources, and their respective pros and cons.

Explore the different types of measurements, the types of observing systems and their measurement uncertainty.

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