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!
(often associated with search queries like aiosetup.com ) is an all-in-one configuration tool and meta-addon built for media ecosystems like Stremio. Instead of forcing users to install, update, and sort dozens of scattered community scrapers (such as Torrentio, MediaFusion, Comet, and KnightCrawler), it consolidates multiple content providers into a single, unified interface.
The 5‑Layer AI Setup Stack for Business URL: /blog/ai-setup-stack
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Once on the homepage, you will typically see a search bar or a categorized menu (e.g., "Printers," "Routers," "AI Tools," "Peripherals").
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The website introduces a concept that is purely fictional. It suggests a kind of digital sharing economy for physical components, where your "old one will be uploaded to the cloud and can be downloaded by others". On a technical level, this is impossible. Computer hardware consists of physical components (like CPUs, GPUs, and RAM modules) that cannot be digitally transmitted or downloaded. aiosetup
to /guides , /automation-blueprints
What (Windows, Android, macOS) are you utilizing?
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
