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MeteoNet is a meteorological dataset developed and made available by METEO FRANCE, the French national meteorological service.
We aim to provide an easy and ready to use dataset for Data Scientists who want to try their hand on weather data.


Get Started Now! Download Support Kaggle page

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Teaser

Take a look at our amazing teaser!

The dataset

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.

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We have prepared this free dataset to let the data science community play with it.
Explore it today!

Butt Girlfriends 7 Innocent High New _best_ - Cheating Bubble

Breaking the Cheating Bubble: How 7 Innocent High-Lifestyle Habits Are Redefining Girlfriends, Trust, and Entertainment

One by one, the friends began to realize the gravity of their actions. They started to question the true cost of their entertainment and the impact on their relationships. As they confronted the consequences of their virtual infidelity, they were forced to re-evaluate their priorities and values.

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At its center are seven women. They are not criminals, nor are they villains. They are, by all accounts, innocent . High-society girlfriends, partners to some of the world’s most powerful financiers, tech founders, and heirs. But their innocence is not about naivety; it is a curated performance, a strategic shield. Together, they have engineered a new archetype of modern relationships—one that blends emotional autonomy with material security, and redefines both lifestyle and entertainment for the post-monogamy era. Breaking the Cheating Bubble: How 7 Innocent High-Lifestyle

The 7 Reasons for Infidelity

: Relationship experts often categorize the reasons people "break the bubble"—including disconnection, feeling trapped, or seeking validation. They are not criminals, nor are they villains

New to MeteoNet? Check out our Toolbox!

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.

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Get MeteoNet Toolbox

Download Area

This dataset is yours to explore!

Play with it and if you send us your results, we could showcase them on this website!

Download MeteoNet

Kaggle

The 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

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Kaggle page Tutorial

The community's work

Featured projects

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!

Support

Need help? Checkout our documentation, post an issue on our GitHub repository or go to our Slack workspace!

Documentation GitHub Slack

Other data

Other data from METEO FRANCE

You 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!

Licence

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