WRF (Weather Research and Forecasting) Model - Knowledge Infrastructure

Community

End-to-end WRF workflow automation.

Authorlzwei196
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides an end-to-end operational blueprint to deploy and run the Weather Research and Forecasting (WRF) model within a structured knowledge infrastructure, enabling autonomous model execution and post-processing.

Core Features & Use Cases

  • Stage-based pipeline: orchestrates configuration, domain setup, forcing conversion, namelist assembly, initialization, model execution, and post-processing.
  • Comprehensive tooling: includes preflight checks, wrappers for real.exe and wrf.exe, and post-run validation with logs and summaries.
  • Documentation and diagnostics: ships skill documents, diagnostic triplets, and workflow guidance to support reproducible experiments.
  • Use Case: researchers run a full WRF cycle (domain definition to wrfout analysis) for mesoscale studies with minimal manual scripting.

Quick Start

Configure a two-domain WRF setup using this KI and execute the 8-stage pipeline to obtain wrfout files.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: WRF (Weather Research and Forecasting) Model - Knowledge Infrastructure
Download link: https://github.com/lzwei196/KISS---Knowledge-Infrastructure-for-Scientific-Simulation/archive/main.zip#wrf-weather-research-and-forecasting-model-knowledge-infrastructure

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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