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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!

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Because it is open-source, Blender has one of the most active global communities in the tech world. This ensures a constant stream of updates, free add-ons, bugs fixes, and community-driven tutorials. The Reality of "Free Download" Links for Premium Courses

Covering everything from UI basics to advanced run cycles. Curated Curriculum:

: Their Official YouTube Channel provides numerous free lessons on animation fundamentals and Blender-specific techniques. 2. Overview of the Full Paid Course toanimate blender animation course free link download

: Focuses heavily on the core principles of animation applied directly to 3D space. 3. Open-Source Animation Rigs

It teaches professional hotkeys, timeline management, and graph editor tricks to speed up your workflow. Because it is open-source, Blender has one of

With Eevee, you can see your animation in near-real-time. Conclusion

If you are not ready to invest in the full course, there are several excellent alternatives: 3. Splining and the Graph Editor

In this phase, the interpolation mode is set to Constant. You focus purely on the storytelling poses and breakdown keys. This ensures the performance is strong before the software attempts to automate any movement. 3. Splining and the Graph Editor

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