Radarx

Radarx is a Python library built for radar data processing and visualization. The library integrates tightly with xradar and leverages xarray and DataTree structures to enable easy and efficient manipulation of radar sweeps and volume data.

[!WARNING] This project is currently in high development mode. Features may change frequently, and some parts of the library may be incomplete or subject to change. Please proceed with caution.

Key Features

• Xradar Integration: Uses xradar for reading radar data in different formats, providing a consistent interface for various radar types.
• IMD Radar Data Support: Special support for reading and processing IMD radar data in NetCDF format.
• Volume Scanning: Utilities to process radar sweeps and group them into complete volume scans.
• Data Gridding: Provides tools for converting radar data to regular Cartesian grids, supporting complex radar geometries.
• Xarray and DataTree Structured Data: Radar data is returned as xarray datasets, organized into DataTree structures for easy navigation and analysis.

Installation

You can install radarx using conda from the conda-forge channel (recommended):

bash conda install -c conda-forge radarx

You can also install radarx via pip from PyPI:

bash python -m pip install radarx

Alternatively, you can install it from source by cloning the repository and running:

bash git clone https://github.com/syedhamidali/radarx.git cd radarx python -m pip install .

Usage

Here's a simple example of how to use Radarx with xradar to load IMD radar data and process a volume scan:

```python import radarx as rx

List of radar files

files = [ 'radarfile1.nc', 'radarfile2.nc', 'radar_file3.nc' ]

Read volume data using Radarx, with xradar integration

volume = rx.io.read_volume(files)

Access a specific sweep or variable

dbz_data = volume['/volume_0']['DBZ'] ```

Radarx leverages xradar to handle radar file formats and integrates smoothly with xarray and DataTree for organizing and analyzing radar data.

Xradar Integration

Radarx makes use of the powerful xradar library for radar data ingestion and format handling. This ensures that the package is flexible and can handle a variety of radar data formats, including ODIM_H5, Sigmet, and others. For more advanced users, xradar functionality can be directly accessed to extend Radarx\'s capabilities.

Documentation

For full documentation, please visit the Radarx Documentation.

Contributing

Contributions are welcome! If you\'d like to contribute, please follow the steps below:

1. Fork the repository.
2. Create a new branch for your feature or bugfix.
3. Write tests for your changes.
4. Submit a pull request.

Please ensure that your code passes the pre-commit hooks and test suite before submitting your PR.

License

Radarx is licensed under the MIT License. See the LICENSE file for more details.

Authors

• Syed Hamid Ali

Citation

Syed, H. A. (2025). Radarx: An Xarray-based Python package for radar data processing (v0.2). Zenodo. https://doi.org/10.5281/zenodo.14699312

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