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!
: Once the PC is "Patient Zero," every new, clean USB drive plugged into that machine becomes a carrier. The virus copies itself onto the new drive, waiting to be carried to the next unsuspecting computer.
Why does the average smartphone user see alidvrs2 ? The answer lies in the way cheap electronics are manufactured and deployed. alidvrs2
In the sprawling ecosystem of internet-connected devices, few strings of characters spark as much confusion and curiosity as alidvrs2 . To the average user, it appears as a cryptic SSID on a list of available Wi-Fi networks, a strange process name in a router log, or a puzzling entry on a technical forum. To the security researcher, it represents a specific intersection of Chinese hardware manufacturing, Internet of Things (IoT) proliferation, and the fragile state of global cybersecurity. : Once the PC is "Patient Zero," every
: Use Task Manager to end any tasks named alidvrs2.exe . The answer lies in the way cheap electronics
: When a user clicks what they think is their "Photos" or "Work" folder, they are actually executing the alidvrs2.exe script. This installs the malicious code onto the host computer.
alidvrs2 is a digital ghost story. It is the visible residue of a global manufacturing machine that prioritizes cost and interoperability over security and identity. It serves as a reminder that the internet of things is not just made of sleek smartphones and smart fridges; it is built on a foundation of millions of anonymous, generic black boxes, quietly humming in the background, creating a hidden infrastructure that is both fascinating and fraught with danger.
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