https://github.com/ecmwf/notebook-examples

Example notebooks showing how to work with ECMWF services and data
https://github.com/ecmwf/notebook-examples

ecmwf ecmwf-api magics notebook python visualisation

Last synced: 28 days ago
JSON representation

Example notebooks showing how to work with ECMWF services and data

• Host: GitHub
• URL: https://github.com/ecmwf/notebook-examples
• Owner: ecmwf
• License: apache-2.0
• Created: 2018-10-22T16:36:07.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2025-02-27T14:54:39.000Z (4 months ago)
• Last Synced: 2025-04-10T04:01:39.309Z (2 months ago)
• Topics: ecmwf, ecmwf-api, magics, notebook, python, visualisation
• Language: Jupyter Notebook
• Size: 220 MB
• Stars: 220
• Watchers: 23
• Forks: 78
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-earthobservation - ECMWF examples - The examples in this space should give you a good starting point how you can work with ECMWF services and data through Python using Jupyter notebooks. A [Binder space](https://mybinder.org/v2/gh/ecmwf/notebook-examples/master?filepath=%2Fhome%2Fjovyan) is also available for immediate playground access. (Software and saas / Jupyter based training resources)

README

        
#  - How to work with meteorological data

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/ecmwf/notebook-examples/master)

The examples in this space should give you a good starting point how you can work with ECMWF services and data through Python using Jupyter notebooks. 

* [Visualisation meteorological data](visualisation) using ECMWF's [Magics](https://software.ecmwf.int/magics) plotting package for meteorological data.

* [Download images and reproducing ECMWF Open Charts](opencharts) using new ECMWF Python libraries

Many notebooks that showcase processing of ECMWF data using [Metview](https://metview.readthedocs.io/en/latest/) can now be found in Metview documentation page:

* [Gallery of Jupyter notebooks](https://metview.readthedocs.io/en/latest/notebook_gallery.html)

* [Gallery of small Python examples](https://metview.readthedocs.io/en/latest/gen_files/gallery/index.html)

Each notebook has a list of nececary libraries needed for it to work and code to install it. 

If you clone this repo and want to explore all the notebooks, you can use the environment.yml file to create a conda environment and install all the libraries inside, using this command:  

`conda env create -f environment.yml`

Note: All the libraries are frozen on 09th January 2025.