radar-datatree#
Companion code for Ladino-Rincón et al. (2026, in preparation). An open-source project by AtmoScale.
The problem isn’t NEXRAD data. It’s the infrastructure around it.
Open the full archive in five lines of Python — no downloads, no decoders, no waiting.
Choose your path
Analyze your own event
Open the live KLOT archive, slice a single severe-weather scan, and plot the polarimetric signature — in 5 lines.
Reproduce paper results
Reproduce Ryzhkov et al. (2016) Fig. 4 in ~10 s on a laptop. Then push to seasonal scale with Marshall–Palmer QPE.
Understand the data model
The DataTree / Icechunk / Zarr stack, the AtmoScale parent platform, and a glossary of every radar acronym in one place.
What is radar-datatree?
radar-datatree is a FAIR and cloud-native framework that turns fragmented weather radar archives — millions of standalone binary files with no temporal indexing — into hierarchical, time-indexed, analysis-ready datasets queryable directly from object storage. Built on the WMO FM-301/CfRadial 2.1 standard, xarray.DataTree, Zarr v3, and Icechunk.
Instead of downloading and parsing thousands of binary files, you get direct access to time-indexed, multidimensional arrays — right from your Python session.