wradlib Documentation - Bitbucket

wradlib Documentation, Release 0.1.1
# which keyswords can be used to access the content?
print fcontent.keys()
# print the entire content including values of data and metadata
# (numpy arrays will not be entirely printed)
import pprint as pp
pp.pprint(fcontent)
Please note that in order to experiment with such datasets, you can download hdf5 sample data from the Odyssey page
of the OPERA 3 homepage.
2.2.5 GAMIC HDF5
GAMIC refers to the commercial GAMIC Enigma V3 MURAN software which exports data in hdf5 format. The
concept is quite similar to the above OPERA HDF5 (ODIM_H5) format. Such a file (typical ending: .mvol) can be
read by:
data, metadata = io.read_GAMIC_hdf5("mydrive:/path/to/my/file/filename")
While metadata represents the usual dictionary of metadata, the data variable is a dictionary which might contain
several numpy arrays with the keywords of the dictionary indicating different moments.
2.2.6 NetCDF
The NetCDF format also claims to be self-describing. However, as for all such formats, the developers of netCDF
also admit that “[...] the mere use of netCDF is not sufficient to make data self-describing and meaningful to both
humans and machines [...]”. The program that reads the data needs to know about the expected content. Different
radar operators or data distributors will use different naming conventions and data hierarchies. Even though Python
provides a decent netCDF library (netcdf4), wradlib will need to provide different interfaces to netCDF files offered
by different distributors.
NetCDF files exported by the EDGE software
EDGE is a commercial software for radar control and data analysis provided by the Entreprise Electronics Corporation.
It allows for netCDF data export. The resulting files can be read by:
data, metadata = io.read_EDGE_netcdf("mydrive:/path/to/my/file/filename")
2.3 Read and plot raw DWD radar data
This tutorial helps you to read the raw radar data as provided by German Weather Service (DWD), to transform the
data to dBZ values and to plot the results.
2.3.1 Reading DX-data
First step we often have to do for weather radar data processing is to decode the data from their binary raw format.
The German weather service provides its radar data as so called DX-data. These have to be unpacked and transfered
into an array of 360 (angular values in resolution of 1 degree) by 128 (range values in resolution of 1 km).
The naming convention for dx-data is: raa00-dx_--—bin
or raa00-dx_--—bin. For example: raa00-dx_10908-
200608281420-fbg—bin raw data from radar station Feldberg (fbg, 10908) from 28.8.2006 14:20.
The DX-file contains also additional information like elevation angles and azimuths.
16 Chapter 2. Tutorials