SkillAgentSearch skills...

Gis4wrf

QGIS toolkit ๐Ÿงฐ for pre- and post-processing ๐Ÿ”จ, visualizing ๐Ÿ”, and running simulations ๐Ÿ’ป in the Weather Research and Forecasting (WRF) model ๐ŸŒ€

Install / Use

/learn @GIS4WRF/Gis4wrf

README

<p align="center"><img src="https://gis4wrf.github.io/assets/images/gis4wrf_logo.png"></p>

GIS4WRF

| Build and Tests | Documentation | Article DOI | Software DOI | |-----------------|---------------|-------------|--------------| CI | docs | DOI | DOI |

GIS4WRF is a free and open source QGIS plug-in to help researchers and practitioners with their Advanced Research Weather Research and Forecasting modelling workflows. GIS4WRF can be used to pre-process input data, run simulations, and visualize or post-process results. We offer MPI-enabled pre-built binary distributions for Windows, macOS and Linux through WRF-CMake. For information on how to install GIS4WRF, or check out the main documentation and tutorials, please refer to the GIS4WRF website.

<p align="center"><img src="https://gis4wrf.github.io/assets/images/gis4wrf-demo.gif"></p> <p align="center">Configure, run and visualize a WRF simulation in GIS4WRF</p>

Citing

If you use GIS4WRF in a published work, please cite both the paper (https://doi.org/10.1016/j.envsoft.2018.10.018), and the specific version of GIS4WRF you are using (https://doi.org/10.5281/zenodo.1288569).

Example

Meyer, D., & Riechert, M. (2019). Open source QGIS toolkit for the Advanced Research WRF
modelling system. Environmental Modelling & Software, 112, 166โ€“178.
https://doi.org/10.1016/j.envsoft.2018.10.018

Meyer, D., & Riechert, M. (2018). The GIS4WRF Plugin. Zenodo.
https://doi.org/10.5281/zenodo.1288569

Contributing

If you would like to contribute to the GIS4WRF project, clone this repository, make your changes, and create a pull request with a clear description of your changes. If your changes are merged, you will appear as one of our Contributors.

Versioning

This project uses semantic versioning.

Copyright and licence

Copyright 2018 D. Meyer and M. Riechert. Licensed under MIT.

Related Skills

claude-opus-4-5-migration

96.8k

Migrate prompts and code from Claude Sonnet 4.0, Sonnet 4.5, or Opus 4.1 to Opus 4.5

model-usage

344.1k

Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.

TrendRadar

50.4k

โญAI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.๐ŸŽฏ ๅ‘Šๅˆซไฟกๆฏ่ฟ‡่ฝฝ๏ผŒไฝ ็š„ AI ่ˆ†ๆƒ…็›‘ๆŽงๅŠฉๆ‰‹ไธŽ็ƒญ็‚น็ญ›้€‰ๅทฅๅ…ท๏ผ่šๅˆๅคšๅนณๅฐ็ƒญ็‚น + RSS ่ฎข้˜…๏ผŒๆ”ฏๆŒๅ…ณ้”ฎ่ฏ็ฒพๅ‡†็ญ›้€‰ใ€‚AI ๆ™บ่ƒฝ็ญ›้€‰ๆ–ฐ้—ป + AI ็ฟป่ฏ‘ + AI ๅˆ†ๆž็ฎ€ๆŠฅ็›ดๆŽจๆ‰‹ๆœบ๏ผŒไนŸๆ”ฏๆŒๆŽฅๅ…ฅ MCP ๆžถๆž„๏ผŒ่ต‹่ƒฝ AI ่‡ช็„ถ่ฏญ่จ€ๅฏน่ฏๅˆ†ๆžใ€ๆƒ…ๆ„ŸๆดžๅฏŸไธŽ่ถ‹ๅŠฟ้ข„ๆต‹็ญ‰ใ€‚ๆ”ฏๆŒ Docker ๏ผŒๆ•ฐๆฎๆœฌๅœฐ/ไบ‘็ซฏ่‡ชๆŒใ€‚้›†ๆˆๅพฎไฟก/้ฃžไนฆ/้’‰้’‰/Telegram/้‚ฎไปถ/ntfy/bark/slack ็ญ‰ๆธ ้“ๆ™บ่ƒฝๆŽจ้€ใ€‚

mcp-for-beginners

15.7k

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

View on GitHub
GitHub Stars182
CategoryEducation
Updated1mo ago
Forks40

Languages

Python

Security Score

100/100

Audited on Feb 21, 2026

No findings