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!
I'm glad you're interested in reading articles on specific topics! However, I want to ensure that I provide you with accurate and appropriate information.
In the realm of Latin American popular culture, the term "colegialas de verdad" has become a phenomenon that has captured the attention of many. Translated to English as "true high school girls" or "real high school girls," this phrase has been used to describe a specific subgroup of young women who embody a carefree, youthful, and authentic spirit. But what does it really mean to be a "colegiala de verdad"? What are the characteristics, values, and experiences that define this identity? colegialas de verdad
Una colegiala de verdad se caracteriza por ser: I'm glad you're interested in reading articles on
Without more specific context, it's challenging to provide a more detailed interpretation. However, the phrase fundamentally pertains to the identity, characteristics, or experiences of young females within an educational environment. Translated to English as "true high school girls"
Despite these challenges, the concept of "colegialas de verdad" offers a powerful message of empowerment and resilience. By embracing their individuality, creativity, and authenticity, these young women are redefining what it means to be a high school student in Latin America.
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