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!
For Java developers, boilerplate code is a constant enemy. Whether it's handling date formats, managing file I/O, or making HTTP requests, the standard JDK often requires several lines of code for tasks that feel like they should take one. This is where steps in.
Added text-to-image interfaces for Doubao and Grok , and video generation support for Doubao.
Added a callback parameter for Server-Sent Events (SSE) streaming returns, allowing for real-time data flow in AI applications. hutool 39
Central Repository: cn/hutool/hutool-system/5.8. 39. cn/hutool/hutool-system/5.8.39. ../ hutool-system-5.8.39-javadoc.jar 2025-06- hutool/README-EN.md at v5-master - GitHub
The DesensitizedUtil now includes a method specifically for desensitizing passport numbers, aiding in GDPR and data privacy compliance. For Java developers, boilerplate code is a constant enemy
The core library received several practical updates focused on data privacy and reliability:
A JDBC wrapper that uses the ActiveRecord pattern to simplify SQL operations. A lightweight JSON parser and generator. Getting Started with 5.8.39 Added text-to-image interfaces for Doubao and Grok ,
A simple HTTP client that simplifies requests and file uploads.
Optimizations to XXXToMapCopier provide faster bean-to-map conversions. 3. Database and Network Enhancements
Perhaps the most notable addition in this version is the expansion of the .
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
