/Climate-data

Jupyter notebook tutorials on climate and atmosphere data

Primary LanguageJupyter NotebookApache License 2.0Apache-2.0

Jupyter notebook tutorials for the Copernicus Climate Change and Atmosphere Monitoring Services

This repository hosts Jupyter notebook training material for the Copernicus Climate Change Service (C3S) and the Copernicus Atmosphere Monitoring Service (CAMS).

The tutorials are designed for anyone interested in using C3S & CAMS data and has the following objectives:

How to use these tutorials

These tutorials are in the form of Jupyter notebooks. You will not need to install any software as there are a number of free cloud-based services to create, edit, run and export Jupyter notebooks. Here are some examples:

Binder Kaggle Colab Nbviewer
Binder Kaggle Colab NBViewer
Binder may take some time to load the notebooks, so please be patient! Before you can run the notebooks in Kaggle, you will need to login/register, and switch on the internet via settings You will need a Google account to run the notebooks in Google Colab. Some packages may need to be installed using the command !pip install (package name) Nbviewer will not run the notebooks, only render them

If you would like to run the notebooks in your own environment, we suggest you install Anaconda, which contains most of the libraries you will need. You will also need to install Xarray for working with multidimensional data in netcdf files, and the CDS/ADS API (pip install cdsapi) for downloading data programatically from the CDS & ADS.

This training material is made freely available on the ecmwf-projects Github space under a Apache 2.0 license.

Tutorials on C3S data

Introduction to the Climate Data Store (CDS)

Analysis examples - Climate reanalysis data

Analysis examples - Climate projections

Tutorials on CAMS data

Introduction to the Atmosphere Data Store

Application examples

Tutorials on both C3S and CAMS data