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!
Direct fan support via monthly tiers for premium content access.
The Russian-TGirls phenomenon, led by figures like Daria Kasperskaya, represents a significant shift in the online content landscape. As a community, Russian-TGirls have demonstrated the power of diverse perspectives, female empowerment, and self-expression. Russian-TGirls - Daria Kasperskaya - Fucking He...
Stay tuned, stay stylish, and always question the reflection. Direct fan support via monthly tiers for premium
Providing glimpses into the professional process, which helps build a sense of connection between the performer and the audience. Continued Presence in the Niche Stay tuned, stay stylish, and always question the reflection
: Much like other Russian digital creators who travel extensively, her lifestyle is often depicted through high-quality imagery in cosmopolitan settings, similar to the travel-centric content of other well-known figures like Daria Kasatkina . Entertainment Context
Entertainment for Daria Kasperskaya is a multi-hyphenate endeavor. It blends digital content creation, nightlife curation, and a heavy dose of interactive performance.
Today, creators often function as independent entrepreneurs. They retain creative control over their content, manage their own branding, and communicate directly with their audiences. This shift has transitioned many segments of the industry from traditional production models to a broader spectrum of lifestyle and digital entertainment. Digital Branding and Audience Engagement
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
