Tag - Forecasting | ECMWF eLearning

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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Category: Forecasting

Ensemble Forecasting: Sources of forecast uncertainty (introduction)

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.

Level: Others

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Category: Forecasting

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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Category: Forecasting

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Description

Level: Fundamentals

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Category: Test category

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Level: Others

Certification course: Yes

What you'll learn:

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Prerequisites:

No prior knowledge needed

Full description:

In this first tier of our MOOC on Machine Learning (ML) in Weather and Climate, we give a broad overview of the key concepts ML and its applications in recent years to topics from forecasting and data assimilation to post-processing, observations and computing. This course is aimed as an introduction, which is accessible to those with an interest in ML, weather and climate, but without necessarily requiring a very technical background. This course features a mixture of interactive modules, webinar recordings, quizzes, podcasts and code examples. Please note that this course ran live in early 2023 and reflected the state of the art at that point in time.

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Estimated duration: 12hr 30min

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Data applications: Yes

Numerical weather prediction: No

Computing services and tools: No

Forecasting: Yes

Machine learning: Yes

Atmospheric composition: No

Click to enter this course

Category: Atmospheric Composition

Forecasting

Courses tagged with "Forecasting"