Showing 1 - 12 of 19 results

<a id='page-top'></a> Calculation of global climatology of Earth Radiation Budget from EUMETSAT's CM SAF CLARA-A3 dataset

Format: Jupyter notebooks

This notebook provides you with an introduction on EUMETSAT's CM SAF **CLARA-A3** dataset available at the [Climate Data Store](https://cds.climate.copernicus.eu) (CDS). The dataset contains data for Essential Climate Variables (ECVs) _Earth Radiation Budget_, as well as _Cloud Properties and...

Analysis of Projected versus Historical Climatology with CORDEX Data

Format: Jupyter notebooks

This notebook is a practical introduction to [CORDEX regional climate model data on single levels](https://cds.climate.copernicus.eu/datasets/projections-cordex-domains-s…). CORDEX data are available for 14 regional domains and variable spatial resolutions, from 0.11 x 0.11...

Analysis of September 2020 European Heatwave using ERA5 Climate Reanalysis Data from C3S

Format: Jupyter notebooks

In September 2020, a record-breaking heatwave occured in large parts of western Europe, ([see a description here](https://climate.copernicus.eu/september-brings-record-breaking-warm-tem…)). The city of Lille in northern France for example experienced its hottest day in...

Analysis of the Earth's Radiation Budget using the CERES product

Format: Jupyter notebooks

This notebook-tutorial provides an introduction to the use of the

Calculation of global climatology and annual cycles of Cloud Fractional Cover from EUMETSAT's CM SAF CLARA-A3 dataset

Format: Jupyter notebooks

This notebook provides you with an introduction to one variable of the **EUMETSAT's CM SAF CLARA-A3** dataset available at the [Climate Data Store](https://cds.climate.copernicus.eu/#!/home) (CDS). The overall dataset contains data for Essential Climate Variables (ECVs) _Cloud Properties_ as well as...

Calculation of global climatology and relative anomalies of Surface Radiation Budget from EUMETSAT's CM SAF CLARA-A3 dataset

Format: Jupyter notebooks

This notebook provides you with an introduction on EUMETSAT's CM SAF **CLARA-A3** dataset available at the [Climate Data Store](https://cds.climate.copernicus.eu/#!/home) (CDS). The dataset contains data for Essential Climate Variables (ECVs) _Surface Radiation Budget_, as well as _Cloud Properties...

Calculation of global distribution and timeseries of Outgoing Longwave Radiation (OLR) using NOAA/NCEI HIRS data

Format: Jupyter notebooks

This notebook-tutorial provides a practical introduction to the HIRS dataset available on

Climate Data Store Tutorial

Format: Jupyter notebooks

This notebook provides you an introduction to the Copernicus Climate Data Store (CDS), an overview of the type of data that can be accessed and gives practical examples how to access and retrieve data from the CDS. **This notebook is not yet applicable for accessing and retrieving data from the new

Exploring an ozone product available through the Climate Data Store (CDS)

Format: Jupyter notebooks

In this notebook we show a practical example on how to investigate ozone products from the [CDS](https://cds.climate.copernicus.eu/datasets/satellite-ozone-v1?tab=overv…). We will explore here the spatial and temporal ozone distribution of the total ozone columns. Total colum means here, the sum...

Exploring Total Column Water Vapour information in the COMBI dataset

Format: Jupyter notebooks

This notebook-tutorial provides an introduction to the use of the

How to access and use a satellite-derived GHG Level 2 data product using XCO2_EMMA as an example?

Format: Jupyter notebooks

This is a Jupyter Notebook (JN) illustrating how to access and use a satellite-derived Greenhouse Gas (GHG) atmospheric carbon dioxide (CO2) Level 2 data product as generated via the Copernicus Climate Change Service (C3S) and made available via the Copernicus Climate Data Store [CDS](https://cds...

Observing major flood events with GLOFAS

Format: Jupyter notebooks

This tutorial will demonstrate how to investigate a specific flood event using data from the GLObal Flood