Assessing and Improving the Representation of Riverine Influences on Large Marine Ecosystems (LMEs) in Regional MOM6 Models

This GitHub organization hosts the software, model configurations, analysis tools, and documentation developed as part of the NOAA-funded project to improve the representation of riverine freshwater transport and estuarine processes in the Modular Ocean Model version 6 (MOM6).

Riverine freshwater strongly influences coastal circulation, stratification, nutrient transport, dissolved oxygen, and marine ecosystems. Most ocean general circulation models represent river discharge using simplified approaches that neglect key estuarine exchange processes.

The goal of this project is to improve the representation of riverine freshwater in MOM6 by

• implementing an Estuary Box Model (EBM) parameterization,
• developing improved regional model configurations,
• creating observational products for model evaluation, and
• providing open-source tools for the coastal modeling community.

Fork of the official MOM6 ocean model used for development and implementation of the Estuary Box Model (EBM) parameterization and related model improvements.

Language: Fortran

Fork of the NOAA-GFDL CEFI-regional-MOM6 repository that provides regional MOM6 configurations, XML files, workflow scripts, and utilities for model development and experimentation. This repository is being extended to support implementation and evaluation of the Estuary Box Model (EBM) parameterization.

Contents include

• regional MOM6 model configurations
• experiment setup and workflow utilities
• XML configuration files
• analysis scripts
• project-specific enhancements and documentation

Languages: Python, Shell, XML

Python package for preprocessing coastal observations from the World Ocean Database (WOD) and generating objectively mapped observational products for regional MOM6 model evaluation.

Capabilities include

• WOD preprocessing
• quality control
• optimal interpolation
• interpolation onto MOM6 grids
• generation of coastal climatologies

Language: Python

This work is supported by the NOAA Modeling, Analysis, Predictions, and Projections (MAPP) Program.

Each repository contains its own license information.

Questions and contributions are welcome through the Issues pages of the individual repositories.