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!
Are you struggling with English grammar? Do you want to improve your writing and speaking skills in a short amount of time? Look no further! In this post, we will provide you with a 28-day plan to master English grammar, along with some exclusive tips and resources.
To master English grammar in 28 days, you need a structured "building block" approach that moves from basic sentence components to complex advanced structures. This guide provides a daily intensive curriculum designed to build a strong foundation. Week 1: The Foundation (Parts of Speech) master english grammar in 28 days pdf exclusive
Use this book as a workbook. Write in it, highlight it, and treat it as a 28-day boot camp for your English skills. Are you struggling with English grammar
The biggest hurdle in self-study is deciding what to study. By assigning a specific topic to "Day 1," "Day 2," etc., the book removes the anxiety of planning. You simply turn to the page for the day. In this post, we will provide you with
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
