https://github.com/vlouf/suncal
☀️ Solar calibration of radar data
https://github.com/vlouf/suncal
atmospheric-science python radar weather
Last synced: about 2 months ago
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☀️ Solar calibration of radar data
- Host: GitHub
- URL: https://github.com/vlouf/suncal
- Owner: vlouf
- License: apache-2.0
- Created: 2020-02-20T23:22:47.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2024-08-15T06:32:41.000Z (over 1 year ago)
- Last Synced: 2025-03-12T10:18:05.731Z (12 months ago)
- Topics: atmospheric-science, python, radar, weather
- Language: Python
- Homepage:
- Size: 316 KB
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
[](https://github.com/vlouf/suncal/actions/workflows/python-package.yml)
# ☀️ Suncal
**Suncal** is a software package for solar calibration of radar data respecting the ODIM H5 convention.
It utilizes radio noise from the Sun to check the quality of dual-polarization weather radar receivers for the S-band and C-band.
## Installation
**Suncal** has been published on PyPI under the repository name `solarcal`:
``` pip install solarcal ```
To use it in your python script:
```python
import suncal
```
## Bibliography
If you use `suncal` in your research, please cite the following paper:
**Louf, Valentin, and Alain Protat**. *Real-Time Monitoring of Weather Radar Network Calibration and Antenna Pointing.* Journal of Atmospheric and Oceanic Technology, April 24, 2023. https://doi.org/10.1175/JTECH-D-22-0118.1.
BibTeX:
```bibtex
@article {Louf2023,
author = "Valentin Louf and Alain Protat",
title = "Real-Time Monitoring of Weather Radar Network Calibration and Antenna Pointing",
journal = "Journal of Atmospheric and Oceanic Technology",
year = "2023",
publisher = "American Meteorological Society",
volume = "40",
number = "7",
doi = "10.1175/JTECH-D-22-0118.1",
pages= "823 - 844",
}
```
The Suncal algorithm is a Python implementation is based on:
- **Huuskonen, A., & Holleman, I.** (2007). *Determining Weather Radar Antenna Pointing Using Signals Detected from the Sun at Low Antenna Elevations*. Journal of Atmospheric and Oceanic Technology, 24(3), 476–483. [10.1175/JTECH1978.1](https://doi.org/10.1175/JTECH1978.1)
- **Holleman, I., & Huuskonen, A.** (2013). *Analytical formulas for refraction of radiowaves from exoatmospheric sources*. Radio Science, 48(3), 226–231. [10.1002/rds.20030](https://doi.org/10.1002/rds.20030)
- **Altube, P., Bech, J., Argemí, O., & Rigo, T.** (2015). *Quality control of antenna alignment and receiver calibration using the sun: Adaptation to midrange weather radar observations at low elevation angles*. Journal of Atmospheric and Oceanic Technology. [10.1175/jtech-d-14-00116.1](https://doi.org/10.1175/jtech-d-14-00116.1)
- **Huuskonen, A., Kurri, M., & Holleman, I.** (2016). *Improved analysis of solar signals for differential reflectivity monitoring*. Atmospheric Measurement Techniques, 9(7), 3183–3192. [10.5194/amt-9-3183-2016](https://doi.org/10.5194/amt-9-3183-2016)
## About
Suncal utilizes a Sun position algorithm developed developped by: [https://github.com/s-bear/sun-position] under MIT licence which is based on the algorithm referenced in:
- **Reda, I., & Andreas, A.** (2004). *Solar position algorithm for solar radiation applications*. Solar Energy, 76(5), 577–589. [10.1016/j.solener.2003.12.003](https://doi.org/10.1016/j.solener.2003.12.003)