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: about 1 month 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 (3 months ago)
• Last Synced: 2024-07-20T19:13:28.263Z (2 months ago)
• Topics: atmospheric-science, data-visualization, era5, ncl, postprocessing, rttov, visualization, weather, wrf
• Language: NCL
• Homepage:
• Size: 7.33 MB
• Stars: 53
• Watchers: 5
• Forks: 11
• Open Issues: 5
• 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.2022.105591

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