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.
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...
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...
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...
This notebook-tutorial provides an introduction to the use of the
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...
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...
This notebook-tutorial provides a practical introduction to the HIRS dataset available on
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
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.
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...