PostWRF
Visualization and postprocessing of the WRF and ERA5 data
Science Score: 49.0%
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Keywords
Repository
Visualization and postprocessing of the WRF and ERA5 data
Basic Info
Statistics
- Stars: 64
- Watchers: 4
- Forks: 16
- Open Issues: 5
- Releases: 3
Topics
Metadata Files
README.md
PostWRF
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
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:
git clone git@github.com:anikfal/PostWRF.gitcd PostWRFchmod +x postwrf.sh modules/*.sh modules_era/*.sh- Copy or link your WRF or ERA5 files in the PostWRF directory
./postwrf.sh- 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.2022.105591
If you find PostWRF helpful, please kindly cite it in your works.
Owner
- Name: Amirhossein Nikfal
- Login: anikfal
- Kind: user
- Location: Germany
- Company: Jülich Supercomputing Centre
- Repositories: 1
- Profile: https://github.com/anikfal
Atmospheric Modeling & Data Science
GitHub Events
Total
- Issues event: 17
- Watch event: 9
- Issue comment event: 20
- Push event: 1
- Fork event: 5
Last Year
- Issues event: 17
- Watch event: 9
- Issue comment event: 20
- Push event: 1
- Fork event: 5
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Amirhossein Nikfal | a****l@g****m | 190 |
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 55
- Total pull requests: 7
- Average time to close issues: about 2 months
- Average time to close pull requests: 1 minute
- Total issue authors: 30
- Total pull request authors: 1
- Average comments per issue: 4.36
- Average comments per pull request: 0.0
- Merged pull requests: 7
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 11
- Pull requests: 0
- Average time to close issues: 4 days
- Average time to close pull requests: N/A
- Issue authors: 8
- Pull request authors: 0
- Average comments per issue: 1.64
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- fipoucat (8)
- MrHoneyB (7)
- paparao123 (4)
- raedh80 (2)
- Nikolaidis8416 (2)
- qwdy (2)
- sudhansu-s-rath (2)
- tinpk85 (2)
- LJroy1998 (2)
- sstikle (2)
- AbdBaten (2)
- ADgit7 (2)
- NishantBehera (1)
- KC181818 (1)
- hissei1247 (1)
Pull Request Authors
- anikfal (7)