WOFOST/PCSE Knowledge Infrastructure
CommunityAutonomous WOFOST crop modeling with PCSE.
Authorlzwei196
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a comprehensive, machine-readable framework to run WOFOST crop simulations through the PCSE Python API, enabling automated, end-to-end experimentation across locations, crops, and seasons.
Core Features & Use Cases
- End-to-end crop simulation pipeline: orchestrates crop parameters, soil, weather, agromanagement, engine configuration, execution, output parsing, and yield analysis.
- Multi-model ensemble readiness: supports comparisons with DSSAT and generates gridded yield estimates for risk assessment.
- Workflow automation for large-scale studies: enables batch runs across VIC grids, basins, or time windows with reproducible results and diagnostic tracing.
Quick Start
Run a full WOFOST/PCSE simulation workflow to generate daily outputs and yield summaries across a region.
Dependency Matrix
Required Modules
pcseyamlpandasnumpyxarraymatplotlib
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: WOFOST/PCSE Knowledge Infrastructure Download link: https://github.com/lzwei196/KISS---Knowledge-Infrastructure-for-Scientific-Simulation/archive/main.zip#wofost-pcse-knowledge-infrastructure Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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