Published July 17, 2018
| Version 0.1.0
Software
Open
Radproc: A GIS-compatible Python-Package for automated RADOLAN Composite Processing and Analysis
Creators
- 1. Institut für Physische Geographie und Landschaftsökologie, Leibniz Universität Hannover
Description
Radproc is an open source Python library intended to facilitate precipitation data processing and analysis. It provides functions for processing, analysis and export of RADOLAN (Radar Online Adjustment) composites and rain gauge data.
Weather radar data processing represents a big challenge for many potential users. Radproc’s goal is to lower the barrier for using RADOLAN weather radar data, especially in conjunction with ArcGIS. Therefore, radproc provides an automated ArcGIS-compatible data processing workflow based on pandas DataFrames and HDF5. Moreover, radproc’s arcgis module includes a collection of functions for data exchange between pandas and ArcGIS.
Files
radproc-0.1.0.zip
Files
(3.8 MB)
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md5:5652de3d4d46c02c3a66ee204c8ebe92
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Additional details
References
- 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
- Winterrath, T.; Brendel, C.; Hafer, M.; Junghändel, T.; Klameth, A.; Walawender, E. et al. (2017): Erstellung einer dekadischen radargestützten hoch-auflösenden Niederschlagsklimatologie für Deutschland zur Auswertung der rezenten Änderung des Extremverhaltens von Niederschlag. Abschlussbericht. Deutscher Wetterdienst, Abteilung Hydrometeorologie. Offenbach am Main.