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metpyqc

Python library for quality control and reconstruction of meteorological data

https://github.com/silve92/metpyqc

Science Score: 54.0%

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
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (9.1%) to scientific vocabulary

Keywords

atmospheric-science gap-filling meteorology python quality-control reconstruction weather weather-data
Last synced: 7 months ago · JSON representation ·

Repository

Python library for quality control and reconstruction of meteorological data

Basic Info
  • Host: GitHub
  • Owner: silve92
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 6.55 MB
Statistics
  • Stars: 4
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 1
Topics
atmospheric-science gap-filling meteorology python quality-control reconstruction weather weather-data
Created over 4 years ago · Last pushed about 4 years ago
Metadata Files
Readme License Citation

README.md

MetPyQC

DOI License: MIT PyPi version Documentation Status

Python library for quality control and reconstruction of meteorological data

drawing

MetPyQC is currently under development and the current version is only preliminary.

Installation

MetPyQC is available on PyPI:

console $ python -m pip install metpyqc

Dependencies

Other required packages:

  • Numpy
  • Scipy
  • Pandas
  • Scikit-learn
  • Tqdm

Documentation

A detailed package documentation is available on Read the Docs

License

This project is licensed under the terms of the MIT license.

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Silvestri"
  given-names: "Lorenzo"
  orcid: "https://orcid.org/0000-0002-9379-756X"
title: "MetPyQC: a python library for quality control and reconstruction of meteorological data"
version: 0.0.1
doi: "https://doi.org/10.5281/zenodo.5903175"
date-released: 2022-01-25
url: "https://github.com/silve92/MetPyQC"
preferred-citation:
  type: article
  authors:
  - family-names: "Cerlini Bongioannini"
    given-names: "Paolina"
    orcid: "https://orcid.org/0000-0001-7766-089X"
  - family-names: "Silvestri"
    given-names: "Lorenzo"
    orcid: "https://orcid.org/0000-0002-9379-756X"
  - family-names: "Saraceni"
    given-names: "Miriam"
    orcid: "https://orcid.org/0000-0002-8306-7280"
  doi: "https://doi.org/10.1002/met.1913"
  journal: "Meteorological Applications" 
  number: 3
  pages: e1913
  title: "Quality control and gap-filling methods applied to hourly temperature observations over central Italy"
  volume: 27
  year: 2020

GitHub Events

Total
Last Year

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 26
  • Total Committers: 3
  • Avg Commits per committer: 8.667
  • Development Distribution Score (DDS): 0.385
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
silve92 l****g@g****m 16
Lorenzo Silvestri 5****2 9
meteo m****o@l****n 1
Committer Domains (Top 20 + Academic)
localhost.localdomain: 1

Issues and Pull Requests

Last synced: 8 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 19 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 2
  • Total maintainers: 1
pypi.org: metpyqc

Quality control and reconstruction of meteorological data

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 19 Last month
Rankings
Dependent packages count: 7.3%
Dependent repos count: 22.1%
Forks count: 22.8%
Average: 27.5%
Stargazers count: 27.9%
Downloads: 57.2%
Maintainers (1)
LorenzoSilvestri
Last synced: 8 months ago

Dependencies

docs/requirements.txt pypi
  • metpyqc ==0.0.1
  • sphinx ==4.0.2
  • sphinx_rtd_theme ==0.5.2
setup.py pypi
  • numpy >=1.20.1
  • scikit-learn >=0.23.2