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https://github.com/anikfal/PostWRF
Visualization and postprocessing of the WRF and ERA5 data
https://github.com/anikfal/PostWRF
atmospheric-science data-visualization era5 ncl postprocessing rttov visualization weather wrf
Last synced: 28 days ago
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Visualization and postprocessing of the WRF and ERA5 data
- Host: GitHub
- URL: https://github.com/anikfal/PostWRF
- Owner: anikfal
- License: mit
- Created: 2018-03-31T20:13:15.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2024-06-26T14:38:10.000Z (6 months ago)
- Last Synced: 2024-10-19T20:34:09.061Z (2 months ago)
- Topics: atmospheric-science, data-visualization, era5, ncl, postprocessing, rttov, visualization, weather, wrf
- Language: NCL
- Homepage:
- Size: 7.33 MB
- Stars: 54
- Watchers: 5
- Forks: 11
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- open-sustainable-technology - PostWRF - Visualization and postprocessing of the WRF and ERA5 data. (Atmosphere / Meteorological Observation and Forecast)
README
# PostWRF
[![DOI](https://zenodo.org/badge/doi/10.5281/zenodo.8191714.svg)](https://zenodo.org/record/8191714)
### Visualization and postprocessing of the WRF and ERA5 data
**Plot the WRF and ERA5 data, in the same simple way as you run the WRF model!**
PostWRF is a bunch of interactive tools, written in NCL and Bash scripts, to visualize and post-process the WRF model outputs (as well as ERA5 and RTTOV data, to some extent).
PostWRF is useful for both the expert and less-experienced users. 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.
## Main capabilities:
- WRF Data extraction
- WRF horizontal contour plot
- WRF cross-section plot
- WRF statistical diagrams
- RTTOV input (from WRF) and output data generation
- WRF data conversion to Geotiff
- WRF Skew-T and windrose diagrams
- ERA5 horizontal contour plot
- ERA5 data extraction## Sample visualizations and postprocessing
![github_postwrf](https://github.com/anikfal/PostWRF/assets/11738727/16be89c3-1bb1-4245-a430-1d07876563dd)## Installation:
Install NCL on a Linux machine (e.g. Fedora):
```bash
sudo dnf install ncl
```
That's it! Enough for most of the PostWRF's capabilities!## Run PostWRF:
1. ``` git clone [email protected]:anikfal/PostWRF.git ```
2. ``` cd PostWRF ```
3. ``` chmod +x postwrf.sh modules/*.sh modules_era/*.sh ```
4. Copy or link your WRF or ERA5 files in the PostWRF directory
5. ``` ./postwrf.sh ```
6. Follow the instructions and give relevant information to visualize/postprocess your data## HTML Documentations:
Documentations with practical examples: https://postwrf.readthedocs.io/en/master## YouTube Training Videos:
https://youtube.com/playlist?list=PL93HaRiv5QkCOWQ4E_Oeszi9DBOYrdNXD## Paper:
For more detailed information about the backend structure of the software, please read https://doi.org/10.1016/j.envsoft.2022.105591If you find PostWRF helpful, please kindly cite it in your works.