https://github.com/openradar/xradar
A tool to work in weather radar data in xarray
https://github.com/openradar/xradar
radar weather xarray
Last synced: 1 day ago
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A tool to work in weather radar data in xarray
- Host: GitHub
- URL: https://github.com/openradar/xradar
- Owner: openradar
- License: mit
- Created: 2022-09-01T06:53:41.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2026-02-03T11:11:54.000Z (21 days ago)
- Last Synced: 2026-02-04T00:43:19.737Z (20 days ago)
- Topics: radar, weather, xarray
- Language: Python
- Homepage: https://docs.openradarscience.org/projects/xradar
- Size: 1.07 MB
- Stars: 131
- Watchers: 10
- Forks: 23
- Open Issues: 37
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Citation: CITATION.cff
- Authors: AUTHORS.md
Awesome Lists containing this project
README
# xradar
[](https://pypi.python.org/pypi/xradar)
[](https://anaconda.org/conda-forge/xradar)
[](https://doi.org/10.5281/zenodo.7091736)
[](https://github.com/openradar/xradar/actions/workflows/ci.yml)
[](https://github.com/openradar/xradar/actions/workflows/upload_pypi.yml)
[](https://xradar.readthedocs.io/en/latest/?version=latest)
Xradar includes all the tools to get your weather radar into the xarray data model.
* Free software: MIT license
* Documentation: [https://docs.openradarscience.org/projects/xradar](https://xradar.readthedocs.io)
## How to cite Xradar
This project provides a Zenodo badge with a DOI for easy citation — click the badge above to get the official citation and permanent archive.
GitHub also offers a “Cite this repository” button near the top right of [this page](https://github.com/openradar/xradar), where you can quickly copy the citation in various formats like APA and BibTeX.
In the [rendered documentation](https://docs.openradarscience.org/projects/xradar/en/stable/#how-to-cite-xradar), you will find the full citation below.
> [!TIP]
> **Cite Xradar as:**
>
> *{{ apa_citation }}*
## About
At a developer meeting held in the course of the ERAD2022 conference in Locarno, Switzerland, future plans and cross-package collaboration of the [openradarscience](https://openradar.discourse.group/) community were intensively discussed.
The consensus was that a close collaboration that benefits the entire community can only be maximized through joint projects. So the idea of a common software project whose only task is to read and write radar data was born. The data import should include as many available data formats as possible, but the data export should be limited to the recognized standards, such as [ODIM_H5](https://www.eumetnet.eu/activities/observations-programme/current-activities/opera/) and [CfRadial](https://github.com/NCAR/CfRadial).
As memory representation an xarray based data model was chosen, which is internally adapted to the forthcoming standard CfRadial2.1/FM301. FM301 is enforced by the [Joint Expert Team on Operational Weather Radar (JET-OWR)](https://community.wmo.int/governance/commission-membership/commission-observation-infrastructure-and-information-systems-infcom/commission-infrastructure-officers/infcom-management-group/standing-committee-measurements-instrumentation-and-traceability-sc-mint/joint-expert-team). Information on FM301 is available at WMO as [WMO CF Extensions](https://community.wmo.int/activity-areas/wis/wmo-cf-extensions).
Any software package that uses xarray in any way will then be able to directly use the described data model and thus quickly and easily import and export radar data. Another advantage is the easy connection to already existing [open source radar processing software](https://openradarscience.org/pages/projects/#).
## Status
Xradar is considered stable for the implemented readers and writers which have been ported from wradlib. It will remain in beta status until the standard is finalized and the API as well as data model will move into stable/production status.
> [!IMPORTANT]
> Currently only polar (radial) and not cartesian or any other gridded radar data can be imported!
## Features
### Import/Export Capabilities
* CfRadial1 and CfRadial2
* ODIM_H5 format
### Import-Only Capabilities
* DataMet
* Furuno
* Gamic
* HPL
* Iris
* MRR
* NexradLevel2
* Rainbow
* UF
### Data Transformation and Alignment
* Georeferencing (AEQD projection)
* Angle Reindexing
* Format Transformation support to CfRadial1 and CfRadial2
> [!NOTE]
> All formats load into CfRadial2, so converting to CfRadial1 is seamless.
## Contributors
Thanks to our many contributors!
[](https://github.com/openradar/xradar/graphs/contributors)