New version 1.6.0 released
An easy way to key up results without proper visualisation was added in the form of tracking graphs. The graphs are provided in a navigable form in an html file produced by the post-processing script.
Radarmeteorology (12/05/2016 08:59 am)
This Lecture on Radarmeteorology consists of three parts.
Part 1 covers the theoretical background. Part 2 consists of a set of jupyter notebooks (python) where the radar processing algorithms introduced in Part 1 are utilized. In Part 3 the students produce a seminar paper on a given task using the learned theorie and computational algorithms....
meanie3D-examples (01/22/2016 04:19 pm)
Contains examples for applied cases. Can serve as reference for configurations etc.
Meanie3D (01/15/2013 10:15 am)
This project provides a very generic implementation of mean-shift clustering on NetCDF data sets. The data sets need to follow the CF-Metadata. The mean-shift algorithm is a robust unsupervised clustering algorithm with a wide range of applications. Meanie3D provides a multivariate implementation with no limits as to the number of variables that can be used in constructing the Featurespace. ...
- MIUB-Redmine (12/05/2011 11:37 am)
libradolan (11/30/2011 12:25 pm)
A set of C/C++ components for reading the RADOLAN data format of the German Weather Forecast Service (DWD). Also contains methods for converting to and from the RADOLAN coordinate system or grid, as well as conversion routines into HDF5. Please check the WIKI for code example. For information on how to obtain, compile and use libradolan, please check the Wiki: http://git.meteo.uni-bonn.de/projects/radolan/wiki...