Showing 37 - 48 of 59 results
Plot an ensemble of CMIP6 climate projections

Plot an ensemble of CMIP6 climate projections

Format: Jupyter notebooks

Access CMIP6 global climate projections from the C3S Climate Data Store, plot projected 2m temperature from model ensemble.

Analysis of projected versus historical climatology with CORDEX data

Analysis of projected versus historical climatology with CORDEX data

Format: Jupyter notebooks

Introduction to CORDEX regional climate model data on single levels. Compute difference in air temperature climatologies.

Tutorial on climatologies using climate data from C3S

Tutorial on climatologies using climate data from C3S

Format: Jupyter notebooks

Access ERA5 data from the C3S Climate Data Store. Analyse climatologies and trends in near-surface air temperature.

Seasonal Forecast Anomalies

Seasonal Forecast Anomalies

Format: Jupyter notebooks

Introduction to calculating seasonal forecast anomalies. Visualisation as spatial maps, time series and interactive plot

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.

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.

Uncertainty, Robustness and Confidence

Uncertainty, Robustness and Confidence

Format: Interactive modules (eLearning)

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

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.