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WRF-Hydro v5.2.0 Standalone (NoahMP) — Knowledge Infrastructure

Automate WRF-Hydro v5.2.0 standalone workflows with Noah-MP for basin-scale modeling.

1|Updated Mar 31, 2026
Search Tags:#workflow#diagnostics#standalone#forcing-conversion#basin-modeling#wrf-hydro#domain-definition
One-click install
npx skills add https://github.com/lzwei196/KISS---Knowledge-Infrastructure-for-Scientific-Simulation --skill wrf-hydro-v5-2-0-standalone-noahmp-knowledge-infrastructure
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: WRF-Hydro v5.2.0 Standalone (NoahMP) — Knowledge Infrastructure
Source: https://github.com/lzwei196/KISS---Knowledge-Infrastructure-for-Scientific-Simulation/tree/main/models/WRF_Hydro
Command: npx skills add https://github.com/lzwei196/KISS---Knowledge-Infrastructure-for-Scientific-Simulation --skill wrf-hydro-v5-2-0-standalone-noahmp-knowledge-infrastructure

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires netCDF4, numpy, scipy, geopandas, rasterio, pyproj, whitebox, pandas, shapely, fiona.

What problem does it solve?

This Knowledge Infrastructure enables fully autonomous construction and execution of a WRF-Hydro v5.2.0 standalone workflow (Noah-MP LSM with gridded routing) on any basin, removing the need for WPS/ArcGIS dependencies and providing a Python-centric, reproducible pipeline from domain creation to model execution.

Core Features & Use Cases

  • End-to-end pipeline orchestration: domain definition, geo_em and wrfinput generation, fulldom/hierarchical routing setup, soil properties, groundwater, forcing conversion, namelist generation, and MPI execution.
  • Reproducible, cross-basin experiments: standardized steps, diagnostic triplets, and validation guidance for cross-basin comparison across climates.
  • Forcing integration and workflow hygiene: supports CMFD direct forcing, VIC-based LDASIN conversion, preflight checks, and pipeline metadata logging.

Quick Start

Run the full WRF-Hydro standalone pipeline for a chosen basin to automatically build the domain, convert forcing, generate namelists, and execute the model.

Frequently Asked Questions about WRF-Hydro v5.2.0 Standalone (NoahMP) — Knowledge Infrastructure

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

FAQPage Schema
How do I run a WRF-Hydro standalone workflow without WPS or ArcGIS?▼

Run a WRF-Hydro standalone workflow entirely in Python by automating domain construction, forcing conversion, namelist generation, and MPI execution, removing the need for WPS or ArcGIS dependencies.

What is the process for converting CMFD forcing data for Noah-MP basin modeling?▼

Forcing conversion for Noah-MP basin modeling involves transforming CMFD direct forcing or VIC-based LDASIN data into standardized model inputs, integrated directly within the standalone pipeline execution.

Can I use Python geospatial libraries like geopandas and rasterio for WRF-Hydro domain definition?▼

Yes, WRF-Hydro domain definition leverages Python geospatial libraries including geopandas, rasterio, pyproj, and whitebox to generate geo_em, wrfinput, and routing files autonomously.

How do I set up reproducible cross-basin hydrological modeling experiments with Noah-MP?▼

Set up reproducible cross-basin hydrological modeling by standardizing domain files, forcing, namelists, and MPI execution, utilizing preflight checks and diagnostic triplets for robust comparisons across climates.

Does this standalone pipeline support groundwater and hierarchical routing setup?▼

Yes, the standalone pipeline supports fulldom and hierarchical routing setup, alongside soil properties and groundwater configuration, to provide complete end-to-end basin-scale hydrological modeling.

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