Data

Tools

Indexes

Applications

Experiments

Open Source Science

gis4wrf

QGIS toolkit 🧰 for pre- and post-processing 🔨, visualizing 🔍, and running simulations 💻 in the Weather Research and Forecasting (WRF) model 🌀

https://github.com/gis4wrf/gis4wrf

Science Score: 23.0%

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

  • ○
    CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ✓
    DOI references
    Found 13 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (17.1%) to scientific vocabulary

Keywords

academia air-quality atmospheric-modelling atmospheric-science forecasting-models gis grib meteorology netcdf nwp plotting python qgis-plugin scientific-computations scientific-computing simulation urban-planning weather wps wrf
Last synced: 5 months ago · JSON representation

Repository

QGIS toolkit 🧰 for pre- and post-processing 🔨, visualizing 🔍, and running simulations 💻 in the Weather Research and Forecasting (WRF) model 🌀

Basic Info
  • Host: GitHub
  • Owner: GIS4WRF
  • License: mit
  • Language: Python
  • Default Branch: master
  • Homepage: https://gis4wrf.github.io
  • Size: 443 KB
Statistics
  • Stars: 175
  • Watchers: 16
  • Forks: 38
  • Open Issues: 46
  • Releases: 18
Topics
academia air-quality atmospheric-modelling atmospheric-science forecasting-models gis grib meteorology netcdf nwp plotting python qgis-plugin scientific-computations scientific-computing simulation urban-planning weather wps wrf
Created over 7 years ago · Last pushed about 3 years ago
Metadata Files
Readme Changelog License

README.md

GIS4WRF

| Build and Tests | Documentation | Article DOI | Software DOI | |-----------------|---------------|-------------|--------------| CI | docs | DOI | DOI |

GIS4WRF is a free and open source QGIS plug-in to help researchers and practitioners with their Advanced Research Weather Research and Forecasting modelling workflows. GIS4WRF can be used to pre-process input data, run simulations, and visualize or post-process results. We offer MPI-enabled pre-built binary distributions for Windows, macOS and Linux through WRF-CMake. For information on how to install GIS4WRF, or check out the main documentation and tutorials, please refer to the GIS4WRF website.

Configure, run and visualize a WRF simulation in GIS4WRF

Citing

If you use GIS4WRF in a published work, please cite both the paper (https://doi.org/10.1016/j.envsoft.2018.10.018), and the specific version of GIS4WRF you are using (https://doi.org/10.5281/zenodo.1288569).

Example

``` Meyer, D., & Riechert, M. (2019). Open source QGIS toolkit for the Advanced Research WRF modelling system. Environmental Modelling & Software, 112, 166–178. https://doi.org/10.1016/j.envsoft.2018.10.018

Meyer, D., & Riechert, M. (2018). The GIS4WRF Plugin. Zenodo. https://doi.org/10.5281/zenodo.1288569 ```

Contributing

If you would like to contribute to the GIS4WRF project, clone this repository, make your changes, and create a pull request with a clear description of your changes. If your changes are merged, you will appear as one of our Contributors.

Versioning

This project uses semantic versioning.

Copyright and licence

Copyright 2018 D. Meyer and M. Riechert. Licensed under MIT.

Owner

  • Name: GIS4WRF
  • Login: GIS4WRF
  • Kind: organization

Toolkit for pre- and post-processing, visualizing, and running simulations in WRF

GitHub Events

Total
  • Issues event: 3
  • Watch event: 9
  • Issue comment event: 2
  • Fork event: 2
Last Year
  • Issues event: 3
  • Watch event: 9
  • Issue comment event: 2
  • Fork event: 2

Committers

Last synced: 5 months ago

All Time
  • Total Commits: 166
  • Total Committers: 5
  • Avg Commits per committer: 33.2
  • Development Distribution Score (DDS): 0.392
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Maik Riechert m****t@a****e 101
dmey d****y@u****m 62
Michael Roth m****h@g****m 1
Umur Dinç u****c@g****m 1
Xavier Corredor Llano x****o@g****m 1
Committer Domains (Top 20 + Academic)
arcor.de: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 207
  • Total pull requests: 62
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 12 days
  • Total issue authors: 93
  • Total pull request authors: 6
  • Average comments per issue: 3.02
  • Average comments per pull request: 0.71
  • Merged pull requests: 60
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 4
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 30 minutes
  • Issue authors: 4
  • Pull request authors: 1
  • Average comments per issue: 0.25
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • dmey (41)
  • hugohartmann (21)
  • letmaik (16)
  • mostamndi (5)
  • liaoyangsam (4)
  • bakamotokatas (4)
  • taoansf (4)
  • raffyjef (4)
  • pcav (3)
  • buseyet (3)
  • Zeruas (3)
  • hoangnghiem72 (3)
  • pskunjeer (3)
  • daterma (3)
  • thenerdie (2)
Pull Request Authors
  • letmaik (42)
  • dmey (16)
  • tobwen (2)
  • mjroth (1)
  • bakamotokatas (1)
  • XavierCLL (1)
Top Labels
Issue Labels
bug (42) enhancement (41) question (21) information needed (11) invalid (7) wontfix (5) duplicate (4) help wanted (2) good first issue (2)
Pull Request Labels
enhancement (9) bug (3)

Dependencies

.github/workflows/ci.yml actions
  • actions/checkout v2 composite
  • actions/upload-artifact v2 composite
  • conda-incubator/setup-miniconda v2 composite