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 10 hours ago
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Visualization and postprocessing of the WRF and ERA5 data

README.md

PostWRF

DOI

Visualization and Postprocessing of WRF and ERA5 Data

Plot WRF and ERA5 data with a namelist — just like running the WRF model.

PostWRF is a collection of interactive tools, written in NCL and Bash, for visualizing and post-processing WRF model outputs, as well as ERA5 and RTTOV data (to some extent).

It is designed for both beginners and expert users:

  • Students can easily plot WRF or ERA5 outputs without dealing with programming syntax or script debugging.
  • Advanced users can perform routine postprocessing tasks quickly and reproducibly.

🧩 Main Capabilities

  • WRF data extraction
  • WRF horizontal contour plotting
  • WRF vertical cross-section plotting
  • WRF statistical diagrams
  • RTTOV input (from WRF) and output data generation
  • WRF data conversion to GeoTIFF
  • WRF Skew-T and wind rose diagrams
  • ERA5 horizontal contour plotting
  • ERA5 data extraction

🖼️ Sample Visualizations

PostWRF sample plots


⚙️ Installation

Install NCL on a Linux system (example for Fedora):

sudo dnf install ncl

That’s it! This is sufficient for most of PostWRF’s features.


🚀 Usage

  1. Clone the repository:
cd PostWRF
  1. Make scripts executable:
chmod +x postwrf.sh modules/*.sh modules_era/*.sh
  1. Copy or link your WRF or ERA5 files into the postwrf directory.
  2. Run the main script:
./postwrf.sh
  1. Follow the on-screen instructions to visualize or postprocess your data.

📘 Documentation

Comprehensive documentation with practical examples:
https://postwrf.readthedocs.io/en/master

🎥 YouTube Training Videos

Watch video tutorials here:
PostWRF YouTube Playlist

📄 Citation

If you use PostWRF in your research, please cite the following publication:

Nikfal, A. (2022). PostWRF: An Interactive Visualization and Postprocessing Tool for WRF Outputs. Environmental Modelling & Software, 105591.
https://doi.org/10.1016/j.envsoft.2022.105591


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Last synced: 2 days ago

Total Commits: 192
Total Committers: 1
Avg Commits per committer: 192.0
Development Distribution Score (DDS): 0.0

Commits in past year: 3
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Name Email Commits
Amirhossein Nikfal a****l@g****m 192

Issue and Pull Request metadata

Last synced: 4 months ago

Total issues: 55
Total pull requests: 7
Average time to close issues: about 2 months
Average time to close pull requests: 1 minute
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Total pull request authors: 1
Average comments per issue: 4.36
Average comments per pull request: 0.0
Merged pull request: 7
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Past year issues: 11
Past year pull requests: 0
Past year average time to close issues: 4 days
Past year average time to close pull requests: N/A
Past year issue authors: 8
Past year pull request authors: 0
Past year average comments per issue: 1.64
Past year average comments per pull request: 0
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