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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.

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The ECMWF Extended range forecasts: Introduction

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.

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Forecast Jumpiness: An introduction

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.

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This lesson teaches about sources of uncertainty in climate projections, what robust signals are, and when we can be confident in a change.Donec sed odio dui. Nullam id dolor id nibh ultricies vehicula ut id elit. Duis mollis, est non commodo luctus, nisi erat porttitor ligula, eget lacinia odio sem nec elit. Integer posuere erat a ante venenatis dapibus posuere velit aliquet. Aenean eu leo quam. Pellentesque ornare sem lacinia quam venenatis vestibulum. Maecenas faucibus mollis interdum.

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eLearning - online resources

Climate

Online course: Understanding climate data

Online course: Understanding climate data

From analysis of the past to future projections

Computing services and tools

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Forecasting

Ensemble Forecasting: Sources of forecast uncertainty (introduction)

Ensemble Forecasting: Sources of forecast uncertainty (introduction)

The ECMWF Extended range forecasts: Introduction

The ECMWF Extended range forecasts: Introduction

Forecast Jumpiness: An introduction

Forecast Jumpiness: An introduction

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