ROMS

Automate ROMS simulations from grid generation to post-processing diagnostics.

1|Updated Mar 31, 2026
One-click install
npx skills add https://github.com/lzwei196/KISS---Knowledge-Infrastructure-for-Scientific-Simulation --skill roms
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ROMS
Source: https://github.com/lzwei196/KISS---Knowledge-Infrastructure-for-Scientific-Simulation/tree/main/models/ROMS
Command: npx skills add https://github.com/lzwei196/KISS---Knowledge-Infrastructure-for-Scientific-Simulation --skill roms

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires netCDF4, numpy, scipy.

What problem does it solve?

ROMS workflow provides an end-to-end operational blueprint to run Regional Ocean Modeling System simulations, from grid creation and data preparation to execution and post-processing, reducing setup errors and enabling reproducible coastal and shelf-scale modeling.

Core Features & Use Cases

  • Integrated grid and forcing pipeline: generate ROMS grids, interpolate bathymetry, convert atmospheric forcing, and assemble initial/boundary conditions automatically.
  • End-to-end execution: configure roms.in, compile and run ROMS (serial or MPI), and produce history/diagnostic outputs for validation.
  • Post-processing and validation: extract time series, profiles, and diagnostics to compare with observations and benchmarks.

Quick Start

Provide a ROMS grid and forcing files, then run the execution wrapper to generate outputs.

Frequently Asked Questions about ROMS

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

FAQPage Schema
How do I set up an end-to-end ROMS ocean modeling workflow?

An end-to-end ROMS workflow automates grid generation, interpolates bathymetry, converts atmospheric forcing, assembles initial and boundary conditions, compiles the model, and produces post-processing diagnostics for validation.

What data do I need to prepare boundary and initial conditions for ROMS?

Preparing boundary and initial conditions for ROMS requires a ROMS grid file, atmospheric forcing data, and a consistent TIME_REF, which are then automatically assembled into the required netCDF input formats.

Can I run MPI parallel simulations using this ROMS workflow?

Yes, the ROMS execution wrapper configures the roms.in file and runs the model in both serial and MPI modes, utilizing your ROMS source or binary to produce history and diagnostic outputs.

Does this ROMS workflow handle post-processing and validation of ocean model outputs?

ROMS post-processing extracts time series, profiles, and diagnostics from history files, enabling direct comparison with observations and benchmarks to validate coastal and open-ocean simulation results.

What are the dependencies for automating Regional Ocean Modeling System simulations?

Automating ROMS simulations requires Python dependencies including netCDF4 for file I/O, numpy for array operations, and scipy for data interpolation, alongside a valid ROMS binary and input files.

Why are my ROMS simulation outputs failing to generate correctly?

ROMS simulation failures often stem from inconsistent TIME_REF settings, incorrect file naming conventions, or mismatched grid and forcing data formats within the roms.in configuration file.