cgeniepy

cgeniepy: A Python package for analysing cGENIE Earth System Model output - Published in JOSS (2024)

https://github.com/ruiying-ocean/cgeniepy

Science Score: 100.0%

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 11 DOI reference(s) in README and JOSS metadata
  • Academic publication links
    Links to: joss.theoj.org, zenodo.org
  • Committers with academic emails
    1 of 4 committers (25.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

cgenie earth-sciences earth-system-model oceanography python visualisation
Last synced: 6 months ago · JSON representation ·

Repository

A Python package for analysing the cGENIE model output

Basic Info
Statistics
  • Stars: 7
  • Watchers: 1
  • Forks: 2
  • Open Issues: 3
  • Releases: 3
Topics
cgenie earth-sciences earth-system-model oceanography python visualisation
Created over 3 years ago · Last pushed 6 months ago
Metadata Files
Readme Contributing License Citation

README.md

Documentation Status PyPI version PyPI - Downloads DOI DOI License: GPL v3

cgeniepy is a Python package to analyse the output of cGENIE Earth System Model. It aims to provide a set of convenient tools for the post-simulation work, including analysing the model output, plotting publication-quality figures, and conducting model-data comparison.

Installation

  1. Install from PyPI by running commands below in your terminal.

bash python3 -m pip install cgeniepy

  1. Install from GitHub:

bash python3 -m pip install git+https://github.com/ruiying-ocean/cgeniepy.git@master 3. Install from conda bash conda install --channel "ruiying" cgeniepy

  1. Install extra dependency bash python3 -m pip install "cgeniepy[extra]"

  2. Update package bash pip install --upgrade cgeniepy

Quickstart

I have uploaded a sample model run, which is a preindustrial spinup configuration with marine ecosystem and biogeochemistry enabled (C, P, Fe, Si, O).

```python import cgeniepy from cgeniepy.model import GenieModel

model = cgeniepy.sample_model()

for your own model experiment

model = GenieModel("directorytoyourmodeloutput")

select variable -> select coordinate -> operation like mean or plot

model.getvar('ocnsur_temp').isel(time=-1).plot(colorbar=True) ```

  • If you want to try other cGENIE model runs, you may go to this zenodo record (https://zenodo.org/records/10575295).
  • If you want to try non-cGENIE model, I have also uploaded two example files to here (https://zenodo.org/records/13786014).

Documentation

An online documentation is hosted in readthedoc.

Citation

Ying, R. (2024). cgeniepy: A Python package for analysing cGENIE Earth System Model output. Journal of Open Source Software, 9(101), 6762. https://doi.org/10.21105/joss.06762

Logo

Logo is designed by me using free righteous font.

Alternative

Raise a bug

Please use GitHub's Issues to raise a bug. This makes the issues traceable so that future users having the same problem can find the answer in the public domain.

Contributing

How to contribute

Owner

  • Login: ruiying-ocean
  • Kind: user
  • Location: Bristol, UK
  • Company: University of Bristol

PhD student studying marine system and biogeochemical cycle. Emacs lover.

JOSS Publication

cgeniepy: A Python package for analysing cGENIE Earth System Model output
Published
September 30, 2024
Volume 9, Issue 101, Page 6762
Authors
Rui Ying ORCID
School of Earth Sciences, University of Bristol, UK
Editor
Rachel Wegener ORCID
Tags
cGENIE Earth System Model Ocean Climate

Citation (CITATION.cff)

cff-version: "1.2.0"
authors:
- email: rui.ying@bristol.ac.uk
  family-names: Ying
  given-names: Rui
  orcid: "https://orcid.org/0000-0001-5811-2388"
contact:
- email: rui.ying@bristol.ac.uk
  family-names: Ying
  given-names: Rui
  orcid: "https://orcid.org/0000-0001-5811-2388"
doi: 10.5281/zenodo.13835532
message: If you use this software, please cite our article in the
  Journal of Open Source Software.
preferred-citation:
  authors:
  - email: rui.ying@bristol.ac.uk
    family-names: Ying
    given-names: Rui
    orcid: "https://orcid.org/0000-0001-5811-2388"
  date-published: 2024-09-30
  doi: 10.21105/joss.06762
  issn: 2475-9066
  issue: 101
  journal: Journal of Open Source Software
  publisher:
    name: Open Journals
  start: 6762
  title: "cgeniepy: A Python package for analysing cGENIE Earth System
    Model output"
  type: article
  url: "https://joss.theoj.org/papers/10.21105/joss.06762"
  volume: 9
title: "cgeniepy: A Python package for analysing cGENIE Earth System
  Model output"

GitHub Events

Total
  • Issues event: 18
  • Watch event: 1
  • Delete event: 1
  • Issue comment event: 6
  • Push event: 64
  • Pull request event: 1
  • Create event: 9
Last Year
  • Issues event: 18
  • Watch event: 1
  • Delete event: 1
  • Issue comment event: 6
  • Push event: 64
  • Pull request event: 1
  • Create event: 9

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 491
  • Total Committers: 4
  • Avg Commits per committer: 122.75
  • Development Distribution Score (DDS): 0.008
Past Year
  • Commits: 111
  • Committers: 4
  • Avg Commits per committer: 27.75
  • Development Distribution Score (DDS): 0.036
Top Committers
Name Email Commits
Rui Ying (Mac) 3****n 487
Rachel Wegener 3****2 2
Kristen Thyng k****g@g****m 1
Rui Ying (UEA MAC) r****g@u****k 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 21
  • Total pull requests: 3
  • Average time to close issues: 29 days
  • Average time to close pull requests: about 4 hours
  • Total issue authors: 2
  • Total pull request authors: 3
  • Average comments per issue: 0.81
  • Average comments per pull request: 0.33
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 21
  • Pull requests: 3
  • Average time to close issues: 29 days
  • Average time to close pull requests: about 4 hours
  • Issue authors: 2
  • Pull request authors: 3
  • Average comments per issue: 0.81
  • Average comments per pull request: 0.33
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • ruiying-ocean (20)
  • koldunovn (3)
Pull Request Authors
  • kthyng (2)
  • ruiying-ocean (2)
  • rwegener2 (2)
Top Labels
Issue Labels
enhancement (9) bug (1)
Pull Request Labels

Dependencies

pyproject.toml pypi