Showing 85 - 96 of 109 results
Sectoral Application – Tourism

Sectoral Application – Tourism

Format: Interactive modules (eLearning)

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

Introduction to BUFR decoding with ecCodes

Introduction to BUFR decoding with ecCodes

Format: Interactive modules (eLearning)

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

MARS ECMWF's meteorological archive

MARS ECMWF's meteorological archive

Format: Interactive modules (eLearning)

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

Develop your own climate services case study

Develop your own climate services case study

Format: Interactive modules (eLearning)

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

Bias Correction and Downscaling

Bias Correction and Downscaling

Format: Interactive modules (eLearning)

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

Climate Change and Agriculture

Climate Change and Agriculture

Format: Interactive modules (eLearning)

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 ...

Data Resources - Climate Models

Data Resources - Climate Models

Format: Interactive modules (eLearning)

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

Climate Projections

Climate Projections

Format: Interactive modules (eLearning)

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

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

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

Format: Interactive modules (eLearning)

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

Ensemble Forecasting: Sources of forecast uncertainty (introduction)

Ensemble Forecasting: Sources of forecast uncertainty (introduction)

Format: Interactive modules (eLearning)

Learn about sources of error in NWP, how they are quantified, and how ensembles are evaluated.

Introduction to the parametrization of sub-grid processes

Introduction to the parametrization of sub-grid processes

Format: Interactive modules (eLearning)

Learn how sub-grid-scale processes (not explicitly simulated in NWP), are parameterised and how challenges are overcome.

Introduction to Metview

Introduction to Metview

Format: Interactive modules (eLearning)

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