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!
Unlike the Hot Babes of the early 2000s who transitioned from sexy films to comedy (like the iconic Sex Bomb dancers or the cast of Kool Ka Lang ), Carla represented a newer, fresher face of the brand. She was part of a wave of models who capitalized on the DVD medium. Her appeal lay in her versatility—she could look sweet and innocent in one frame, and strikingly sultry in the next.
Carla Samonte's popularity and fame, which she gained during her time on the show, are a big part of this nostalgia. Her stunning looks, charming personality, and daring spirit all contributed to her enduring popularity, and she remains one of the most beloved and recognizable figures from the show. Carla Samonte - VIVA HB GONE WILD 2007
In conclusion, Carla Samonte and "HB Gone Wild" will always be remembered as a groundbreaking and iconic part of Philippine television history. The show's bold and daring content, combined with Carla Samonte's stunning looks and outgoing personality, made for a winning combination that captivated audiences and helped to pave the way for future programming. As the years go by, it's clear that Carla Samonte's legacy will continue to endure, and she will always be remembered as one of the most popular and unforgettable models of her generation. Unlike the Hot Babes of the early 2000s
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