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!
[Master Input File] ──> [Two-Pass Visual Analysis] ──> [Subtitle Multiplex Check] ──> [High-Fidelity Extra Quality Render]
-preset slow : Tells the encoder to dedicate more CPU cycles to analyzing spatial and temporal compression, yielding cleaner details around edges and motion.
If you are keeping subtitles separate (Soft Subtitles): Use mkvmerge to embed the track without altering the video quality. jur153engsub convert020006 min extra quality
minutes, likely suggesting a ~2-hour, 6-minute project constraint or automated batch processing). What is the "jur153engsub" Method?
: Always scan downloaded files with a reputable service like VirusTotal before opening. What is the "jur153engsub" Method
To help me tailor any further technical scripts or workflow automation advice, please let me know:
If you are searching for this specific string, you are likely looking for a version that hasn't been overly compressed by streaming sites. Here is how to ensure you’re getting the authentic "02:00:06" version: Here is how to ensure you’re getting the
Are you outputting this file for or live courtroom playback ? Share public link
Optimizing multimedia with these specific parameters bridges the gap between high-fidelity raw footage and seamless cross-platform delivery. Decoding the Search String
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