WRaINfo: An Open Source Library for Weather Radar Information

WRaINfo is a software to process FURUNO weather radar data. The FURUNO raw data can already provide useful visual information about the spatial distribution of precipitation events. But in order to use the FURUNO data for quantitative studies, the raw data have to be processed in order to account for typical error sources such as ground clutter, uncertainties in polarimetric variables and in the z-R relationship as well as attenuation of the radar signal. Therefore, this python package has been developed for processing FURUNO weather radar data.

Note

The WRaINfo package was only tested for the weather radar type WR2120 and WR2100 of FURUNO.

Note

  • Please cite the WRaINfo as …

  • Please cite also the \(\omega radlib\) python package as Heistermann, M., Jacobi, S., and Pfaff, T.: Technical Note: An open source library for processing weather radar data (wradlib), Hydrol. Earth Syst. Sci., 17, 863-871, doi:10.5194/hess-17-863-2013, 2013

Package status

Pipelines Coverage

Documentation

Getting started

Tutorials & Examples

Process chains

Help & References

License

Licensed under the Apache License, Version 2.0

Credits

FERNLOGO

WRaINfo has been developed by FERN.Lab,

the Helmholtz Innovation Lab “Remote sensing for sustainable use of resources”, located at the Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences. FERN.Lab is funded by the Initiative and Networking Fund of the Helmholtz Association.

Development Team:
  • Alice Künzel, researcher Helmholtz Centre Potsdam German Research Centre for Geosciences GFZ, Section 1.4 - Remote Sensing and Geoinformatics

  • Kai Mühlbauer, researcher University of Bonn, Institute of Geosciences - Meteorology Section

  • Christian Hohmann, engineer Helmholtz Centre Potsdam German Research Centre for Geosciences GFZ, Section 1.4 - Remote Sensing and Geoinformatics

  • Julia Neelmeijer, supervisor Helmholtz Centre Potsdam German Research Centre for Geosciences GFZ, Section 1.4 - Remote Sensing and Geoinformatics

  • Daniel Spengler, supervisor Helmholtz Centre Potsdam German Research Centre for Geosciences GFZ, Section 1.4 - Remote Sensing and Geoinformatics

This package was created with Cookiecutter and the fernlab/cookiecutter-pypackage project template. The test data represent raw data of the weather radar FURUNO and files which are created with the WRaINfo package.

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