solarcal

☀️ Solar calibration of radar data

https://github.com/vlouf/suncal

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 18 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.3%) to scientific vocabulary

Keywords

atmospheric-science python radar weather
Last synced: 6 months ago · JSON representation ·

Repository

☀️ Solar calibration of radar data

Basic Info
  • Host: GitHub
  • Owner: vlouf
  • License: apache-2.0
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 319 KB
Statistics
  • Stars: 2
  • Watchers: 3
  • Forks: 0
  • Open Issues: 0
  • Releases: 3
Topics
atmospheric-science python radar weather
Created about 6 years ago · Last pushed 9 months ago
Metadata Files
Readme License Citation

README.md

Python package

☀️ 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
  • Holleman, I., & Huuskonen, A. (2013). Analytical formulas for refraction of radiowaves from exoatmospheric sources. Radio Science, 48(3), 226–231. 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
  • 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

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

Owner

  • Name: Valentin Louf
  • Login: vlouf
  • Kind: user
  • Location: Melbourne, Australia
  • Company: Bureau of Meteorology

Scientist at the Australian Bureau of Meteorology. Loves Python!

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it using the metadata below."
title: "suncal"
authors:
  - family-names: Louf
    given-names: Valentin
    orcid: https://orcid.org/0000-0001-8133-3031
  - family-names: Protat
    given-names: Alain
    orcid: https://orcid.org/0000-0002-8933-874X
date-released: 2023-04-24
version: 0.1.0
doi: 10.1175/JTECH-D-22-0118.1
preferred-citation:
  type: article
  title: "Real-Time Monitoring of Weather Radar Network Calibration and Antenna Pointing"
  authors:
    - family-names: Louf
      given-names: Valentin
    - family-names: Protat
      given-names: Alain
  journal: "Journal of Atmospheric and Oceanic Technology"
  year: 2023
  doi: 10.1175/JTECH-D-22-0118.1

GitHub Events

Total
  • Issues event: 1
  • Watch event: 1
  • Push event: 2
  • Pull request event: 2
Last Year
  • Issues event: 1
  • Watch event: 1
  • Push event: 2
  • Pull request event: 2

Issues and Pull Requests

Last synced: 8 months ago

All Time
  • Total issues: 1
  • Total pull requests: 2
  • Average time to close issues: 10 months
  • Average time to close pull requests: 4 minutes
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 2
  • Average time to close issues: 10 months
  • Average time to close pull requests: 4 minutes
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • vlouf (1)
Pull Request Authors
  • vlouf (4)
Top Labels
Issue Labels
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Packages

  • Total packages: 1
  • Total downloads:
    • pypi 17 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
pypi.org: solarcal

Ground radar monitoring of calibration using the Sun as reference.

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 17 Last month
Rankings
Dependent packages count: 10.5%
Average: 34.7%
Dependent repos count: 59.0%
Maintainers (1)
Last synced: 6 months ago

Dependencies

setup.py pypi
  • arm_pyart *
  • h5py *
  • netCDF4 *
  • numpy *
  • pandas *
  • scikit-learn *
  • scipy *