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!
Highlight Storm 4 and press the button on your controller. Select Manage game and add-ons . Scroll down to Saved data .
Locate and select Steam Beta Update .
Create a temporary folder named "old save file" in that directory. Highlight Storm 4 and press the button on your controller
I found the folder labeled 349040 —that’s the secret ID for Storm 4 .
C:\Program Files (x86)\Steam\userdata\[YOUR-ID]\349040\remote Look for the file named Steam Client Beta : Some users found that switching in or out of the Steam Client Beta Locate and select Steam Beta Update
Open your Steam Library, right-click Naruto Shippuden: Ultimate Ninja Storm 4 , and select . Under the General tab, toggle Steam Cloud to OFF .
Find your old saves. Search your entire C: drive for savegame00.sav . It might be hiding in AppData\Local\ , Documents\My Games\ , or Steam\userdata . Ensure your hard drive isn't full
Never use ALT+F4 or turn off the PC while the game is saving (when the animation is in the corner).
The most common reason for this error is that Windows is preventing the game from creating or modifying its own save folder. Giving the game administrative privileges bypasses these restrictions. Open your .
Ensure your hard drive isn't full, as this can corrupt save files. Troubleshooting Summary Probable Cause Fix to Try "Save data not found" at startup Steam Cloud error Disable/Re-enable Steam Cloud DLC characters locked, no story progress Road to Boruto bug Verify Files / Use Steam Beta Game crashes on startup Corrupted Save Rename STORM4.S to force new save
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