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 using ECMWF's Magics plotting package for meteorological data.
- Download images and reproducing ECMWF Open Charts using new ECMWF Python libraries
- Explore changes in the new IFS and AIFS cycle upgrades using new ECMWF Python libraries
Many notebooks that showcase processing of ECMWF data using Metview can now be found in Metview documentation page:
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.