DayCent
CommunityEnd-to-end DayCent workflow: spin-up, history, treatment, and extraction.
Authorlzwei196
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Automates the end-to-end DayCent workflow from site setup through data extraction, reducing manual orchestration and minimizing configuration errors in soil-ecosystem flux modelling.
Core Features & Use Cases
- End-to-end DayCent pipeline: builds site files (<site>.100, sitepar.in, soils.in, outfiles.in), generates daily weather files, runs equilibrium spin-up, base history, and treatment, and provides extraction hooks for outputs.
- Validation, diagnostics and reuse: integrates preflight checks, diagnostic triplets, and a structured validation stage to ensure scientifically plausible results and reproducible workflows.
- Output extraction and analysis: supports DDlist100-based variable extraction and parse_daycent_output-based tidying and metrics against observed data for streamlined analysis.
Quick Start
Run DayCent workflow by configuring a run directory with a Wooster-like template and executing the three-stage run (eq → base → treat) followed by extraction to produce tidy outputs for analysis.
Dependency Matrix
Required Modules
numpyki_tools_common
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: DayCent Download link: https://github.com/lzwei196/KISS---Knowledge-Infrastructure-for-Scientific-Simulation/archive/main.zip#daycent Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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