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. Please note: Newer radproc versions starting from version 0.1.2 have another DOI representing all upcoming versions: https://doi.org/10.5281/zenodo.1316376

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