swatplus-knowledge-infrastructure

Community

Autonomous SWAT+ workflows from data prep to results.

Authorlzwei196
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Automates the end-to-end SWAT+ knowledge infrastructure workflow, enabling autonomous setup, execution, and validation of watershed simulations from a SWAT+ template TxtInOut directory.

Core Features & Use Cases

  • End-to-end SWAT+ automation: generate, validate, and run the TxtInOut configuration and execute the SWAT+ binary.
  • Data integration & prep: automatic soils.sol generation from HWSD/SSURGO/SoilGrids, weather data preparation, HRU generation, calibration scaffolding, and preflight checks.
  • Reproducibility & diagnostics: built-in diagnostic triplets and a robust preflight to catch common failure modes before runtime.
  • Use Case: replicate a Huai River scenario by wiring weather forcing, soil properties, and management parameters to reproduce observed hydrology and nutrient loads.

Quick Start

Run adapt_swatplus_project.py with a template TxtInOut, new weather data, and a soils file to generate a ready-to-run SWAT+ project for your basin.

Dependency Matrix

Required Modules

pySWATPlusnetCDF4numpymatplotlib

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: swatplus-knowledge-infrastructure
Download link: https://github.com/lzwei196/KISS---Knowledge-Infrastructure-for-Scientific-Simulation/archive/main.zip#swatplus-knowledge-infrastructure

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