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Observation and Forecast","monthly_downloads":0,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"\u003cp align=\"center\"\u003e\u003cimg src=\"https://gis4wrf.github.io/assets/images/gis4wrf_logo.png\"\u003e\u003c/p\u003e\n\n# GIS4WRF\n\n| Build and Tests | Documentation | Article DOI | Software DOI |\n|-----------------|---------------|-------------|--------------|\n[![CI](https://github.com/GIS4WRF/gis4wrf/actions/workflows/ci.yml/badge.svg)](https://github.com/GIS4WRF/gis4wrf/actions/workflows/ci.yml) | [![docs](https://img.shields.io/badge/docs-gis4wrf.github.io-blue.svg)](https://gis4wrf.github.io) | [![DOI](https://img.shields.io/badge/DOI-10.1016%2Fj.envsoft.2018.10.018-brightgreen.svg)](https://doi.org/10.1016/j.envsoft.2018.10.018) | [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.1288569.svg)](https://doi.org/10.5281/zenodo.1288569) |\n\nGIS4WRF is a free and open source [QGIS](https://qgis.org/) plug-in to help researchers and practitioners with their [Advanced Research Weather Research and Forecasting](https://www.mmm.ucar.edu/weather-research-and-forecasting-model) 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](https://github.com/WRF-CMake/WRF). For information on how to install GIS4WRF, or check out the main documentation and tutorials, please refer to the [GIS4WRF website](https://gis4wrf.github.io).\n\n\u003cp align=\"center\"\u003e\u003cimg src=\"https://gis4wrf.github.io/assets/images/gis4wrf-demo.gif\"\u003e\u003c/p\u003e\n\u003cp align=\"center\"\u003eConfigure, run and visualize a WRF simulation in GIS4WRF\u003c/p\u003e\n\n\n## Citing\nIf 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).\n\n### Example\n\n```\nMeyer, D., \u0026 Riechert, M. (2019). Open source QGIS toolkit for the Advanced Research WRF\nmodelling system. Environmental Modelling \u0026 Software, 112, 166–178.\nhttps://doi.org/10.1016/j.envsoft.2018.10.018\n\nMeyer, D., \u0026 Riechert, M. (2018). The GIS4WRF Plugin. Zenodo.\nhttps://doi.org/10.5281/zenodo.1288569\n```\n\n\n## Contributing\n\nIf 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](https://github.com/GIS4WRF/gis4wrf/graphs/contributors).\n\n\n## Versioning\n\nThis project uses [semantic versioning](https://semver.org/).\n\n\n## Copyright and licence\n\nCopyright 2018 D. Meyer and M. Riechert. 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