This repository is intended as a toolbox to handle the MeteoNet dataset. It's also a communication interface with MeteoNet's users : if you have a request or a problem concerning MeteoNet, you can post an issue on this project. For more information (installation, data types, glossary...), go to our Slack workspace and/or check out our documentation! The data are also available on Kaggle with notebooks to help you explore, cross-check all data types! You can contribute to challenges and/or propose yours (time series prediction, rainfall nowcasting, observation data correction...etc)!
MeteoNet is a meteorological dataset released by METEO FRANCE, the French national meteorological service. Our goal is to provide a clean and ready-to-use dataset for Data Scientist who want to try their hand on weather data.
The data spans over 3 years, 2016 to 2018, and covers two geographical areas : the north-western and south-eastern quarters of France.
The dataset regroups ground station observations, land-sea and relief masks, radar observation, weather models forecasts and satellite data.
This toolbox includes data samples from MeteoNet, the meteonet_toolbox package with some useful tools and notebooks to help you explore and cross-check all data types.
The notebooks should help you open each data type (grid and point data, different resolutions...) and visualize it with map and relief overlays.
The notebooks rely on the meteonet_toolbox package and we recommend that you install it.
All the install instructions for our toolbox are available here in our documentation.
The Dataset is licenced by METEO FRANCE under Etalab Open Licence 2.0.
When using this dataset, please cite:
Gwennaëlle Larvor, Léa Berthomier, Vincent Chabot, Brice Le Pape, Bruno Pradel, Lior Perez. MeteoNet, an open reference weather dataset by METEO FRANCE, 2020