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lzwei196
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DayCent

Orchestrate end-to-end DayCent workflows from site setup to output extraction.

1|Updated Mar 31, 2026
Search Tags:#automation#preflight#soil#daycent#earth-system-model#trace-gas
One-click install
npx skills add https://github.com/lzwei196/KISS---Knowledge-Infrastructure-for-Scientific-Simulation --skill daycent
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: DayCent
Source: https://github.com/lzwei196/KISS---Knowledge-Infrastructure-for-Scientific-Simulation/tree/main/models/DayCent
Command: npx skills add https://github.com/lzwei196/KISS---Knowledge-Infrastructure-for-Scientific-Simulation --skill daycent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, ki_tools_common.

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.

Frequently Asked Questions about DayCent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate the DayCent earth system model workflow from site setup to data extraction?▼

You can automate the DayCent earth system model workflow by orchestrating site file creation, spin-up, history, treatment runs, and output extraction into a single end-to-end pipeline, reducing manual configuration and errors in soil-ecosystem flux modeling.

What is the process for running a DayCent equilibrium spin-up before treatment simulations?▼

The DayCent equilibrium spin-up process enforces preflight checks and ACEQ-driven iterations to stabilize soil variables before executing base history and treatment runs for cropland flux studies.

How do I extract and tidy specific output variables from DayCent model runs for validation?▼

Extract output variables from DayCent model runs using DDlist100-based extraction hooks and parse_daycent_output tidying to format metrics against observed data for streamlined analysis.

Does this DayCent pipeline support validation and diagnostics for earth system research?▼

Yes, the DayCent pipeline supports earth system research validation by integrating preflight checks, diagnostic triplets, and a structured validation stage to ensure scientifically plausible and reproducible results.

What site configuration files do I need to prepare for a DayCent cropland flux simulation?▼

Prepare DayCent cropland flux simulations by configuring a run directory with site files like <site>.100, sitepar.in, soils.in, and outfiles.in, along with daily weather forcing files.

Why do I need preflight checks and strict input validation in soil-ecosystem flux modeling?▼

Preflight checks and strict input validation in soil-ecosystem flux modeling minimize configuration errors and ensure scientifically plausible results by catching invalid inputs before executing spin-up and treatment runs.

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