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Students can plot the WRF and ERA5 outputs whithout struggling with coding and syntax errors. Expert users can also carry out common postprocessing tasks in a simple and straightforward way.\n\n## Main capabilities:\n- WRF Data extraction\n- WRF horizontal contour plot\n- WRF cross-section plot\n- WRF statistical diagrams\n- RTTOV input (from WRF) and output data generation\n- WRF data conversion to Geotiff\n- WRF Skew-T and windrose diagrams\n- ERA5 horizontal contour plot\n- ERA5 data extraction\n\n## Sample visualizations and postprocessing\n![github_postwrf](https://github.com/anikfal/PostWRF/assets/11738727/16be89c3-1bb1-4245-a430-1d07876563dd)\n\n\n## Installation:\nInstall NCL on a Linux machine (e.g. Fedora):\n```bash\nsudo dnf install ncl\n```\nThat's it! Enough for most of the PostWRF's capabilities!\n\n## Run PostWRF:\n1. ``` git clone git@github.com:anikfal/PostWRF.git ```\n2. ``` cd PostWRF ```\n3. ``` chmod +x postwrf.sh modules/*.sh modules_era/*.sh ```\n4. Copy or link your WRF or ERA5 files in the PostWRF directory\n5. ``` ./postwrf.sh ```\n6. Follow the instructions and give relevant information to visualize/postprocess your data\n\n\n## HTML Documentations:\nDocumentations with practical examples: https://postwrf.readthedocs.io/en/master\n\n## YouTube Training Videos:\nhttps://youtube.com/playlist?list=PL93HaRiv5QkCOWQ4E_Oeszi9DBOYrdNXD\n\n## Paper:\nFor more detailed information about the backend structure of the software, please read https://doi.org/10.1016/j.envsoft.2022.105591\n\nIf you find PostWRF helpful, please kindly cite it in your works.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanikfal%2FPostWRF","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanikfal%2FPostWRF","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanikfal%2FPostWRF/lists"}