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PostWRF

Visualization and postprocessing of the WRF and ERA5 data.
https://github.com/anikfal/PostWRF

Category: Atmosphere
Sub Category: Meteorological Observation and Forecast

Keywords

atmospheric-science data-visualization era5 ncl postprocessing rttov visualization weather wrf

Last synced: about 14 hours ago
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Visualization and postprocessing of the WRF and ERA5 data

README.md

PostWRF

DOI

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

Installation:

Install NCL on a Linux machine (e.g. Fedora):

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.2022.105591

If you find PostWRF helpful, please kindly cite it in your works.


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Committers metadata

Last synced: 6 days ago

Total Commits: 190
Total Committers: 1
Avg Commits per committer: 190.0
Development Distribution Score (DDS): 0.0

Commits in past year: 12
Committers in past year: 1
Avg Commits per committer in past year: 12.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Amirhossein Nikfal a****l@g****m 190

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Issue and Pull Request metadata

Last synced: 1 day ago

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: 28
Total pull request authors: 1
Average comments per issue: 5.05
Average comments per pull request: 0.0
Merged pull request: 7
Bot issues: 0
Bot pull requests: 0

Past year issues: 18
Past year pull requests: 0
Past year average time to close issues: 19 days
Past year average time to close pull requests: N/A
Past year issue authors: 11
Past year pull request authors: 0
Past year average comments per issue: 3.22
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/anikfal/PostWRF

Top Issue Authors

  • fipoucat (8)
  • MrHoneyB (7)
  • paparao123 (4)
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  • ADgit7 (2)
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  • sstikle (2)
  • LJroy1998 (2)
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Top Pull Request Authors

  • anikfal (7)

Top Issue Labels

  • enhancement (8)
  • bug (5)
  • good first issue (4)

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Score: 4.1588830833596715