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!
If you do obtain a legal PDF of Raghavendra’s book, maximize your learning with these tips:
Identification of different types of loads and their effects on material properties.
The volume is designed to guide students through the fundamental principles of machine design, focusing on clarity and practical relevance. design of machine elements 1 by k raghavendra pdf download
If you have searched for you are likely a student looking for a cost-effective, portable way to study. This article will explore the book’s content, why it is so highly regarded, the legal and ethical aspects of downloading PDFs, and the best legitimate alternatives to access the material.
Includes more than 50 VTU question papers as exercise problems at the end of each chapter. If you do obtain a legal PDF of
One name that frequently appears on university reading lists and competitive exam syllabi is . Published by I.K. International Publishing House, this book has earned a reputation for its lucid explanation of complex topics like stress analysis, fasteners, and shafts.
"Machine Design 1" typically covers the basics, focusing on static loading and simple dynamic components. This forms the bedrock upon which advanced design concepts—like gearboxes and engine blocks—are built. This article will explore the book’s content, why
The book is specifically designed to align with the VTU fifth-semester syllabus for mechanical engineering. Spanning 728 pages, it covers fundamental design procedures and stress analysis. Google Books Comprehensive Syllabus Coverage:
Ask your professor. Often, faculty members have access to instructor copies or can share specific chapters as PDFs under fair use for educational purposes.
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