We believe in freedom, open-source and removing barriers in teaching. We therefore encourage the use of our material and release it under very permissive licenses.
The instructional materials (i.e. the complete course as a “learning package”) are made available under the Creative Commons Attribution-ShareAlike 4.0 International licence, which allows you to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material) material for any purpose under conditions of attribution (you must give appropriate credit) and ShareAlike (your derivative work must be distributed under the same license). For more details, please consult the full CC licence.
Source Code for Course¶
We also provide the source code for this package in style of a git repository. It allows easy editing and compilation the entire html site using Python and sphinx. Teachers are encouraged to use the source codes for this course, which is made available under the MIT licence. (Please consult the repository LICENSE file).
Note that you are also invited to use individual elements from the course, such as images. Many of the images were created specifically for this course and released as either public domain or Creative Commons Attribution 4.0 International licence. In case of the latter, you are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material) material for any purpose under conditions of attribution (you must give appropriate credit). For more details, please consult the full CC licence. Public domain images include no mention of licenses in captions or file names. CC-BY images have the license and author mentioned in captions and file names in the format of nameOfImage_license_credit, e.g. suchImage_ccby_MrDoge.jpg. When using a large set of individual elements from this package, we ask that additional credit is given to the whole teaching package.
Please note that the datasets used in exercises, such as the ECMWF’s Era-Interim reanalysis dataset, are not released under the same license as this course. We do not own any rights to them and the user of this package must comply with the license agreements under which the datasets are released. Please consult the information provided with these third party datasets.
When using third-party datasets for this course, such as the Era-Interim reanalysis dataset, you must consult and comply with the licence agreement provided by the organisations or people owning the rights to the datasets.