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 our software metapaper as Künzel, A., Mühlbauer, K., Neelmeijer, J. and Spengler, D., 2023. WRaINfo: An Open Source Library for Weather Radar INformation for FURUNO Weather Radars Based on Wradlib. Journal of Open Research Software, 11(1), p.9.DOI: https://doi.org/10.5334/jors.453

  • Please cite the WRaINfo as Künzel, A., Mühlbauer, K., Neelmeijer, J., & Spengler, D. (2022). WRaINfo - An open source library for weather radar information. Zenodo. https://doi.org/10.5281/zenodo.7220832

  • 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

Development Team:
  • Alice Künzel,

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

  • Kai Mühlbauer,

    University of Bonn, Institute of Geosciences - Meteorology Section

  • Julia Neelmeijer,

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

  • Daniel Spengler (until March 2023),

    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.

Indices and tables