radarto

Radarto is a fictional open-source platform for processing and visualizing radar data, used here as an example of a typical radar data system employed in meteorology, aviation, and geoscience. The project is described as modular and extensible, designed to ingest data from weather radar networks, airborne radars, and maritime scanning systems.

The core architecture includes a data ingestion layer that supports common radar formats such as ODIM_HDF5 and NetCDF, a preprocessing pipeline with calibration, quality control, clutter suppression, attenuation correction, and motion compensation, and a processing suite for Doppler velocity, dual-polarization products, and multi-radar data fusion. A plug-in system and Python API allow researchers to implement custom algorithms and contribute modules.

Typical workflows in Radarto involve ingesting radar volumes, applying preprocessing, computing derived fields (reflectivity, velocity, differential phase), generating gridded data, and visualizing volumes or cross-sections. The platform supports modular visualization tools, statistical summaries, and export to standard formats for further analysis.

In this article, Radarto is presented as a hypothetical example to illustrate common design decisions in radar data software and is not tied to a specific real-world project.