The dataset contains full time series of satellite and radar images,
weather models and ground observations.
To keep the dataset at a reasonable size, the data covers two geographic
areas of 550km x 550km on the Mediterranean and Brittany coasts, and spans
over 3 years, 2016 to 2018.
We have prepared this free dataset to let the data science community play with it.
Explore it today!
: Serving as a hub for users to share insights, troubleshoot issues, and collaborate on open-source projects. The Evolution of the "Blog3" Standard
The transition to a third version, such as , usually suggests that the previous iterations (v1 and v2) have laid a strong foundation. This stage of growth is characterized by:
For those tracking the progress of this specific platform, the emphasis remains on . As the digital landscape shifts, the agility of a "v3" platform ensures it remains relevant and valuable to its core audience. fsiblog3.
: Breaking down complex coding or engineering concepts.
: Modernized layouts that prioritize readability and mobile responsiveness. : Serving as a hub for users to
In an era of information overload, niche blogs provide curated, reliable information that social media often lacks. represents the "New Wave" of digital publishing where:
: By specializing in a specific keyword or industry segment, these blogs become the go-to resource for professionals and enthusiasts alike. Future Outlook As the digital landscape shifts, the agility of
: Providing deep dives into market trends, particularly in sectors like finance, technology, or specialized education.
: Faster loading times and better SEO integration to reach a wider audience.
: Content is often written by subject matter experts rather than generalist copywriters.
Have a look at our toolbox which includes data samples from MeteoNet written in python language and our tutorials/documentation which help you explore and cross-check all data types.

Play with it and if you send us your results, we could showcase them on this website!
Download MeteoNetThe data are also available on Kaggle with notebooks to help you explore and cross-check all data types!
You can contribute to challenges and/or propose yours!
Time series prediction
Rainfall nowcasting
Cloud cover nowcasting
Observation data correction
...etc
You did something interesting with our
dataset? Want your project to be showcased here?
Write a blog, contact us on GitHub, and we will come back to you!
Need help? Checkout our documentation, post an issue on our GitHub repository or go to our Slack workspace!
Documentation GitHub SlackYou can find other data on METEO FRANCE public data website. It features real-time, past and forecast data: in situ observations, radar observations, numerical weather models, climate data, climate forecasts and much more!
The Dataset is licenced by METEO FRANCE under Etalab Open Licence 2.0.
Reuse of the dataset is free, subject to an acknowledgement of authorship. For example:
"METEO FRANCE - Original data downloaded from https://meteonet.umr-cnrm.fr/, updated on 30 January 2020".
When using this dataset in a publication, 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