ARM-DOE/pyart — reverse-engineered prompt

Build me a Python toolkit for working with weather radar data, something like a practical library scientists can use to read radar files, inspect the data model, run common radar processing and analysis steps, and make clear plots for things like reflectivity and velocity. It should feel usable for both precipitation and cloud radar data, and be flexible enough to handle different radar sources instead of just one format.

I want it to come with solid examples and simple guides so someone can quickly load a radar file, explore the fields, make a few standard visualizations, and save results. Please include sensible defaults for metadata, field names, color maps, and plot limits, but make that configurable with a custom config file or environment setting.

Make it installable as a normal Python package, with tests and documentation, and keep it friendly to the scientific Python ecosystem for arrays, plotting, and NetCDF style data. If you need details, look up current docs and examples online and mirror the overall experience.