SatRain: A machine-learning-ready benchmark dataset for satellite precipitation estimation

The Satellite Precipitation Retrieval (SatRain) benchmark dataset developed by the International Precipitation Working Group (IPWG) is a benchmark dataset for machine-learning-based satellite precipitation retrievals, i.e., algorithms for detecting and quantifying precipitation from satellite imagery.

Features

Training, validation, and test splits derived from four years of overpasses of passive-microwave sensors over the conterminous united states (CONUS)
Collocated satellite observations from visible, infrared, and microwave sensors
Comprehensive ancillary data covering atmospheric parameters and surface properties
Independent testing datasets derived from different regions and measurement techniques
Flexible evaluation framework

Precipitation estimates from three SatRain-based retrievals applied to observations from Typhoon Khanun during landfall on the Korean peninsula ]

Retrieved precipitation from three SatRain-trained retrievals applied to observations of Typhoon Khanun during landfall on the Korean peninsula. Each retrieval relies on a different type of input from the SatRain dataset: a single IR window channel (panel d), Himawari-9 observations (panel e), and GMI observations (panel f). The results are compared with reference ground-based radar measurements (panel a) and baseline estimates from ERA5 (panel b) and GPROF V7 (panel c).

Documentation

For instructions on how to get started using the dataset refer to the documentation available here.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

satrain-1.2.1.tar.gz (31.9 MB view details)

Uploaded Jul 28, 2026 Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

satrain-1.2.1-py3-none-any.whl (23.5 MB view details)

Uploaded Jul 28, 2026 Python 3

File details

Details for the file satrain-1.2.1.tar.gz.

File metadata

Download URL: satrain-1.2.1.tar.gz
Upload date: Jul 28, 2026
Size: 31.9 MB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/6.1.0 CPython/3.13.14

File hashes

Hashes for satrain-1.2.1.tar.gz
Algorithm	Hash digest
SHA256	`47b5d909f7dfaf9f2b220408be0c4c98366ee24b93b2d89e42a185257d066606`
MD5	`ef8a50c2517643fe8708b9c3becddb18`
BLAKE2b-256	`4d327635e0e8710d0fad925c385271d6d3e1afe35c8546c9985a039870020bf0`

See more details on using hashes here.

Provenance

The following attestation bundles were made for satrain-1.2.1.tar.gz:

Publisher: release.yml on ipwgml/satrain

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: satrain-1.2.1.tar.gz
- Subject digest: 47b5d909f7dfaf9f2b220408be0c4c98366ee24b93b2d89e42a185257d066606
- Sigstore transparency entry: 2265961619
- Sigstore integration time: Jul 28, 2026
Source repository:
- Permalink: ipwgml/satrain@1b0f40676724e1bb00cc9b32f621e9e0fcc1522e
- Branch / Tag: refs/tags/v1.2.1
- Owner: https://github.com/ipwgml
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: release.yml@1b0f40676724e1bb00cc9b32f621e9e0fcc1522e
- Trigger Event: push