Fast NEXRAD Level 2 data parsing into xarray

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Project description

radrs

Fast NEXRAD Level 2 processing for Python.

radrs parses NEXRAD weather radar data with direct multi-cloud streaming, async I/O, and two output formats: a CfRadial2 xarray DataTree (xradar-compatible) or a flattened "raystack" xarray DataTree optimized for ML pipelines.

Multi-cloud streaming (s3://, gs://, az://, local) with connection pooling
Async/await API with prefetch
Time-bounded archive iteration via NexradL2ArchiveIter
Built-in QC: RHOHV thresholding, sun spike detection, VRADH dealiasing
Multi-threaded bzip2 decompression

Install

uv add radrs

Or with pip: pip install radrs. Requires Python 3.11+.

Quick start

import radrs.xradar as rxr
import radrs.raystack as rrs

src = "s3://unidata-nexrad-level2/2024/03/15/KTLX/KTLX20240315_000217_V06"

# xradar-compatible DataTree
dt = rxr.open_datatree(src)

# Raystack DataTree — flat layout, ML-friendly
rdt = rrs.open_datatree(src, fold_size=128)

For S3 archive iteration, async I/O, QC, and the raystack format reference, see the full documentation.

Documentation

License

Apache-2.0 — see LICENSE.

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This version

0.3.7

Apr 27, 2026

0.3.6

Apr 27, 2026

0.3.5

Apr 24, 2026

0.3.3

Apr 24, 2026

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radrs 0.3.7

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