An Overview of wradlib
wradlib Introduction
\(\omega radlib\) was one of the first available free and open source Python packages which was targeting the whole processing chain of weather radar data.
From the beginning in 2011 it is available for collaboration in the cloud, first at bitbucket and from 2016 at it’s current location at github.
\(\omega radlib\) evolved constantly over time also adapting to new and emerging features of the Scientific Python stack. Many Features have been added ever since and \(\omega radlib\) is used in almost all parts of the world.
\(\omega radlib\)’s development paradigm Keep the magic to a minimum with a transparent, but lower level code is still a main goal of all development activities. Also the flat (or no) data model with passing data as numpy arrays and metadata as dictionaries is up to this time base for many functions in \(\omega radlib\). With the adoption of the emerging Xarray package this changed to some extent, combining data and metadata in a convenient way.
In this short course we will concentrate on:
For a more comprehensive set of examples and tutorials please refer to the \(\omega radlib\) documentation.