Learn to use an R based toolbox to analyse climate time series - Basics
with Christine Traeger-Chatterjee, Steffen Kothe and Danny Parsons
Joining the session
For Q&A please go to Slido.com, use #EUMSC9 (no log in required).
Joining the session
For Q&A please go to Slido.com, use #EUMSC9 (no log in required).
We are happy to have you here. In this section you can find all information about the course and resources. After the course, you the recording of the session will be made available.
Recording of the webinar on 20th Jan is now available:
For an optimal learning experience, we recommend to go through the preparation steps listed below prior to the course.
The CM SAF R Toolbox was specifically developed for climatological time series analysis of NetCDF data. An overview of the CM SAF R Toolbox and some functionalities are provided in the section "The CM SAF R Toolbox."
To familiarize with CM SAF CDRs, we encourage you to go through the cheat sheets "Basic Climate Analysis using the CM SAF R Toolbox" provided below.
The CM SAF R TOOLBOX is an easy-to-use tool to prepare, analyze and visualize CM SAF NetCDF data. The Toolbox offers a collection of more than 60 operators for analysis and manipulation of CM SAF NetCDF formatted data. The CM SAF R Toolbox is based on a R-shiny graphical user interface, which guides through all options. Thus, no R or scripting experience is needed.
If you want to reproduce the results from the live demo or the tutorial video you can download the data here:
A lot of information material is available to make the start with the CM SAF R Toolbox as easy as possible. Besides the introductive video, there is a manual for the Toolbox as well as for the cmsaf R-package, a Questions & Answers document and a flyer.
Probably the best way to start with CM SAF data and the CM SAF R Toolbox is the COMET e-learning module, which we highly recommend. It takes about 1 hour to complete
the COMET module.
And now have fun playing with the toolbox!
Try it out, test it, share your results via Padlet, and join us for the feedback session on Monday, 25 January 2021 at 12:00h. Click here to join the feedback session.
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