A simple grib data visualization with python.
Data used are freely distributed by Copernicus Atmosphere Monitoring Service CAMS.
CAMS is part of the Copernicus Programme coordinated by the European Commission and it offers information and services freely and openly to all.
CAMS, in particular, provides data and services regarding:
- Air quality & composition
- Ozone & UV
- Climate forcing
- Solar radiation
- Emissions & surface fluxes
- Ubuntu 16.04
- Python 2.7.12
- pygrib == 2.0.2
- matplotlib == 1.5.1
- numpy == 1.11.0
- jupyter == 1.0.0
you can reproduce the jupyter code locally following these steps:
git clone https://github.com/Randbee/Copernicus_UV_data.git
open your kernel (Ctrl + T)
run jupyter notebook
you will see jupyter running on your browser on localhost and you can execute the code.