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MLWC MOOC 3: Applications of Machine Learning in Weather and Climate

MLWC MOOC 3: Applications of Machine Learning in Weather and Climate

Six modules giving ML applications in observations, forecasting, data assimilation, post-processing, ocean and more.

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MLWC MOOC 2: Concepts of Machine Learning in Weather and Climate

MLWC MOOC 2: Concepts of Machine Learning in Weather and Climate

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

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MLWC MOOC 1: Introduction to Machine Learning in Weather and Climate

MLWC MOOC 1: Introduction to Machine Learning in Weather and Climate

Six modules introducing the main topics in machine learning in the context of weather and climate.

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Understanding Climate Data

Understanding Climate Data

From analysis of the past to future projections

Short online course
Because you don't have to be a climate scientist to make climate data work for you!

Online, self-paced
18-20 hours

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Sectoral Application - Heat Health

Sectoral Application - Heat Health

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.

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Sectoral Application – Tourism

Sectoral Application – Tourism

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

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Develop your own climate services case study

Develop your own climate services case study

An introduction into Climate Services, and a seven step approach to develop a case study, illustrated with a practical example.

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Climate Projections

Climate Projections

About climate projections, differences between climate models, and how to choose from climate projection data.

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Sectoral Application – Energy

Sectoral Application – Energy

Learn how climate change will affect the energy sector, which energy-related data and indicators are available from the CDS, and how these can be used in applications.

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Climate Change and Agriculture

Climate Change and Agriculture

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.

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Bias Correction and Downscaling

Bias Correction and Downscaling

This lesson teaches about downscaling and bias correction methods. An exercise for bias correction is included.

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Climate Data Discovery – Introduction

Climate Data Discovery – Introduction

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

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Climate Data Discovery – Advanced

Climate Data Discovery – Advanced

Learn about the various data sources, and strategies to find climate data: processing, choosing projections, scenarios, ensembles and variables.

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Data Resources - Climate Models

Data Resources - Climate Models

Uncover how climate models work and how they can be evaluated. Differences between climate projections, predictions and scenarios are explained.

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Data Resources - Introduction

Data Resources - Introduction

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

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Data Resources - Reanalyses

Data Resources - Reanalyses

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.

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Data Resources - Observations

Data Resources - Observations

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

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Uncertainty, Robustness and Confidence

Uncertainty, Robustness and Confidence

This lesson teaches about sources of uncertainty in climate projections, what robust signals are, and when we can be confident in a change.

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Using climate models for climate scenarios

Using climate models for climate scenarios

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.

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Computing services and tools

Related tags:
computing

datasets

DestinE

eccodes

visualisation

Machine learning

Machine Learning for Earth Systems Modelling - Course 3

Machine Learning for Earth Systems Modelling - Course 3

Applications and New Directions

Online training course 3
Cutting edge applications of ML in weather and climate science

October 2026
Online, self-paced

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Machine Learning for Earth Systems Modelling - Course 2

Machine Learning for Earth Systems Modelling - Course 2

Architectures, Data, and Prediction

Online training course 2

ML workflows from theory to practice

01 June 2026
Online, self-paced

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Machine Learning for Earth Systems Modelling - Course 1

Machine Learning for Earth Systems Modelling - Course 1

Foundations and New Frontiers

Online training course 1
From foundations to hands-on applications!

16 March 2026
Online, self-paced

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MLWC MOOC 1: Introduction to Machine Learning in Weather and Climate

MLWC MOOC 1: Introduction to Machine Learning in Weather and Climate

Six modules introducing the main topics in machine learning in the context of weather and climate.

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Introduction to the Scalable Acquisition and Pre-Processing (SAPP) system

Introduction to the Scalable Acquisition and Pre-Processing (SAPP) system

The SAPP system is the ECMWF's operational acquisition and pre-processing system for observations and other input data.

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Using ECMWF computing facilities: the batch system

Using ECMWF computing facilities: the batch system

This lesson focuses on ECGATE - ECMWF's server allocated for users' tasks, from submitting jobs to correcting errors.

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A starter guide to ecFlow

A starter guide to ecFlow

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

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ecCodes – Manipulating GRIB data with tools and API

ecCodes – Manipulating GRIB data with tools and API

This lesson is focused on how to gain flexibility and control when handling GRIB data using advanced ecCodes tools.

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MARS ECMWF's meteorological archive

MARS ECMWF's meteorological archive

The Meteorological Archival and Retrieval System (MARS) enables users to access and retrieve ECMWF’s historical data.

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Metview for the Single-Column Model (SCM)

Metview for the Single-Column Model (SCM)

This lesson provides an overview of Metview's main features to analyse and edit input data for the single-column model.

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Exploring meteorological data through OGC web services

Exploring meteorological data through OGC web services

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

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Introduction to Metview

Introduction to Metview

Metview is a meteorological workstation application that enables you to access and visualise meteorological data.

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ecCodes: Decoding with GRIB tools

ecCodes: Decoding with GRIB tools

ecCodes is an application programming interface developed by ECMWF to decode and encode in WMO GRIB format.

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Introduction to BUFR decoding with ecCodes

Introduction to BUFR decoding with ecCodes

ecCodes is an application programming interface developed by ECMWF to decode and encode in WMO GRIB and BUFR formats.

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MARS – advanced retrievals, data manipulation and computations

MARS – advanced retrievals, data manipulation and computations

The Meteorological Archival and Retrieval System (MARS) enables access to ECMWF data. Explore its computing capability

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Forecasting

Related tags:
ensembles

uncertainty

Numerical weather prediction

products

Understanding Uncertainty in Weather Forecasts

Understanding Uncertainty in Weather Forecasts

Learn about the main sources of uncertainty in weather forecasting and how they are addressed in early warning systems.

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The ECMWF sub-seasonal (extended range) forecasts: Introduction

The ECMWF sub-seasonal (extended range) forecasts: Introduction

Learn about sources of predictability, seasonal forecast skill and the ECMWF sub-seasonal forecasting system.
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