https://github.com/vlouf/suncal

☀️ Solar calibration of radar data
https://github.com/vlouf/suncal

atmospheric-science python radar weather

Last synced: 4 days 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 (over 4 years ago)
• Default Branch: master
• Last Pushed: 2024-08-15T06:32:41.000Z (3 months ago)
• Last Synced: 2024-11-02T22:52:04.295Z (12 days 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

        
# ☀️ 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

The full description of this work is available in this paper:

 > Louf, V., and A. Protat, 2023: Real-Time Monitoring of Weather Radar Network Calibration and Antenna Pointing. J. Atmos. Oceanic Technol., 40, 823–844, [https://doi.org/10.1175/JTECH-D-22-0118.1].

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)