MIT License

项目介绍

anikfal/postwrf 是一个托管在 GitHub 上的开源项目,主要使用 NCL 编写,采用 MIT License 许可证,目前获得 78 个 Star、18 次 Fork。

仓库全名
anikfal/postwrf
开源许可证
MIT License
Star 数
78
Fork 数
18
未关闭 Issue
6

README 摘要

PostWRF 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…

完整内容见 GitHub 原始 README 或本页 。

常见问题

postwrf 用什么语言开发?

主要使用 NCL 编写,采用 MIT License 许可证,目前有 78 个 Star。

postwrf 可以免费商用吗?

仓库采用 MIT License 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

如何获取 postwrf 的源码?

可以直接克隆仓库:git clone https://github.com/anikfal/postwrf.git,默认分支为 master;安装与运行步骤见仓库 README。

postwrf 最近还在维护吗?

仓库最近一次更新为 2025年11月3日,当前有 6 个未关闭 Issue;Star 数为 78,可作为社区活跃度的参考。

关于

GitHub 原始描述(英文)

Visualization and postprocessing of the WRF and ERA5 data

描述取自 GitHub 官方 API,保持仓库作者书写的原文。

简要分析

热度分
119
价值分
52
活跃状态
活跃

语言占比

NCL
Python
Shell

Release

贡献者

README

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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