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

xarray engines

radrs registers two explicit xarray engines:

Engine	Schema	Use case
`radrs-xradar`	xradar/CfRadial-style sweep tree (`/sweep_0`, `/sweep_1`, ...)	Ecosystem compatibility with xarray, xradar, and Py-ART workflows
`radrs-raystack`	Flattened raystack tree (`/vcps`, `/sweeps`, `/returns`, `/activity`)	radrs-native analytics, batching, and ML-oriented storage

import xarray as xr

dt = xr.open_datatree(source, engine="radrs-xradar", sort_by_azimuth=True)
sweep = xr.open_dataset(source, engine="radrs-xradar", group="sweep_0")

rs_dt = xr.open_datatree(source, engine="radrs-raystack", fold_size=128)
returns = xr.open_dataset(
    source,
    engine="radrs-raystack",
    group="returns",
    fold_size=128,
)

Both engines accept format="nexrad-level2", which is the current default and the only supported source format.

The direct radrs.xradar and radrs.raystack APIs remain the canonical APIs. The xarray engines are thin adapters for workflows that prefer xarray dispatch.

Acknowledgments

radrs builds on the nexrad Rust project for NEXRAD decoding and data models. We thank its authors and contributors for this foundation and have contributed fixes upstream as part of developing radrs.

License

Apache-2.0 — see LICENSE.

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radrs 0.4.0

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SHA256	`8752acd4f0b9e147ee0924659b082a22ce1b849300787135b74cf911e1f14001`
MD5	`01cf7f05781d87f01690d721b070a461`
BLAKE2b-256	`354a04bbe29e45bb943a5dfd38c2803058408675e5a3f9fe8588a78bd4ce79e9`

Algorithm	Hash digest
SHA256	`3ac0533a58f221ee6cf19e839d9c6aac4860e2fc9417ef573ebaf2bfb9081bec`
MD5	`f3ceefe66f92348e7b9e94313349a971`
BLAKE2b-256	`508ae667f18854448d2d74a47d855160083802b0d22595637a02902b8a035169`

Algorithm	Hash digest
SHA256	`fe44bec3e8167f27c65fdad521162862d68538e2715a27dba19db1b254c9315e`
MD5	`e72757935acb410e632a45a8e77b39ae`
BLAKE2b-256	`26b1ce87e05b7dae493fd9d141acec04e95ee4cecc806c33e26fa353b45f72d1`

Algorithm	Hash digest
SHA256	`9c56ba1cd18a03c07244138d61c7796c55cbaf3cea4193112a86dc0adf538b3e`
MD5	`5f264132aff77d4ea3011f3a59a6708c`
BLAKE2b-256	`99eb2412c8888455a5c6d731b584a95ab1245449ba285b1adb518e66f02c4333`

Algorithm	Hash digest
SHA256	`41f127d72530d19901f9f6c3ed9b3a1a01335afc4791275828f59c04f8038366`
MD5	`2d4f0b80eaa555231bd95909e607675c`
BLAKE2b-256	`50a83c7086a8cad0442442b767a4d25ec10cedde2ed6dcb71a5ade6080b3cdf0`

Algorithm	Hash digest
SHA256	`51324e68631e7c0e85a237f745d4a77df2e2a2e821036abdc04509f703010840`
MD5	`e466190b7c19a0df919cc8ce5b3159a7`
BLAKE2b-256	`e61eb2fa499393de767e499fddaecc202ea86259d2ecf3cdd066c4fd9782bc32`

Algorithm	Hash digest
SHA256	`3e6dffd1f959b5d65cc9bd99dfba78b0d91e0943e651a8b829d61d3f75e4b896`
MD5	`170334797dcfdfb7e0fd8154e467bed4`
BLAKE2b-256	`2938dd327ccb5f327de0bfa51445013cbe405b2a98802423723bf6ecca4f1d0a`

Algorithm	Hash digest
SHA256	`11eb57dd146412558203eb2c32c42f3fe007f6f1fe8727c1e467d82a2483cb34`
MD5	`1e4c434219ec51ee12def1e248d3440b`
BLAKE2b-256	`d6fedffade2d3f16c874e99ed4ca03a82b61194c36b95885e7fcb42836f7dd58`