Skip to main content
 
eLearning
All courses
Page path

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.

Last updated: 15 December 2025
Enrolled students: 500+

Certification available

Single module

Topics

  • Forecasting

Course Content

  • Ensemble Forecasting: Sources of forecast uncertainty (introduction)

Tags

  • supercomputer

Start this course

Self enrolment (Student)
Self enrolment (Student)
This course is available only to registered users. Please log in.
Back

You might find these other courses interesting

The ECMWF Extended range forecasts: Introduction

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.

Click to enter this course

Forecast Jumpiness: An introduction

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.

Click to enter this course

test course copy 1

test course copy 1

Description

Click to enter this course