
Modeling Modules
A wide range of numerical modeling modules can be applied to address coastal and marine challenges.
- Evidence-led
- Traceable assumptions
- Decision-ready outputs
- Methods proportionate to risk
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Clarity before a decision is made
Modeling Modules
Clarity before a decision is made
A wide range of numerical modeling modules can be applied to address coastal and marine challenges.
The physical parameters to be simulated (e.g., currents, water levels, waves, temperature, and others).

Decision Supported
Define when and how to use modeling modules, including required data, configuration, validation, and scenarios.

Risk Controlled
Non-representative models, insufficient data, weak validation, and over-interpretation.

Success Criteria
Transparent, validated models that respond to scenarios at the decision scale.
Choose the area that matches your need

Hydrodynamic Module
The Hydrodynamic Module simulates variations in water levels and current circulation generated by multiple driving forces, including tides, wind, river discharge, and wave-induced radiation stress…
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Advection–Dispersion Module
The Advection–Dispersion Module simulates the transport, dispersion, and decay of dissolved or suspended substances and materials within aquatic environments.
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Bottom Sediment Transport Module
The Bottom Sediment Transport Module simulates the erosion, transport, deposition, and accumulation of bottom sediments.
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Water Column Sediment Transport Module
The Water Column Sediment Transport Module simulates the transport, dispersion, settling, erosion, and deposition of suspended sediments throughout the water column.
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Coastal Morphology Module
The Coastal Morphology Module is an integrated numerical modeling system that combines wave, hydrodynamic, and sediment transport modules to simulate the time-dependent evolution of coastal morphology.
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Particle Tracking Module
The Particle Tracking Module is one of the most efficient tools for studying the distribution of dissolved and suspended particles in aquatic environments.
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Oil Spill Analysis Module
The Oil Spill Analysis Module simulates the physical and chemical processes governing the transport, weathering, and fate of spilled oil in marine environments.
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Ecosystem Model
The Ecosystem Model Module is a numerical modeling system designed to simulate aquatic ecosystem conditions using either user-defined ecological models or established ecological formulations.
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Spectral Wave Model
The Spectral Wave Model Module is a new-generation numerical model for simulating wind-generated waves on unstructured meshes.
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Shallow-Water Spectral Wave Model
The Shallow-Water Spectral Wave Model Module is well suited for simulating wind-generated wave propagation in shallow waters, including wave formation processes and the dissipation of short-period waves,…
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Parabolic Mild Slope Wave Model
The Parabolic Mild Slope Wave Model Module is a linear wave refraction–diffraction model based on a parabolic approximation of the elliptic mild-slope equation.
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Elliptic Mild Slope Wave Model
The Elliptic Mild Slope Wave Model Module uses an efficient numerical solution of the mild-slope equation.
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Wave Refraction–Diffraction
The Wave Refraction–Diffraction Module is an integrated wave modeling framework that combines several wave modules, including the Spectral Wave Model, the Shallow-Water Spectral Wave Model, the Parabolic…
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Boussinesq Wave Model
The Boussinesq Wave Model Module is an advanced wave modeling module that uses complex numerical formulations.
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Wave Analysis Tools
The Wave Analysis Tools Module is an advanced analytical module designed to analyze wave time-series data obtained from physical models, numerical simulations, or field observations.
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Littoral Processes and Shoreline Dynamics
The Littoral Processes and Shoreline Dynamics Model Module is an integrated modeling package designed to simulate non-cohesive sediment transport associated with waves and currents, littoral drift,…
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Marine GIS
The Marine GIS Module allows the results of successfully simulated models to be presented and managed within a Geographic Information System (GIS) framework.
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River Flow
The river flow modeling module is designed to simulate river flow, water quality, and sediment transport in estuaries, rivers, irrigation systems, canals, and other water networks.
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Inland Flooding
The inland flooding module is an integrated dynamic module that combines hydrodynamic modeling and river flow modeling within a hydrological modeling package.
Learn more →A traceable evidence base

Observations
Field surveys, in-situ measurements, laboratory results, historical records, and operating information as required.

Remote sensing & GIS
Satellite imagery, mapping, spatial analysis, temporal change, and integration of multiple data sources.

Modeling & scenarios
Model setup, calibration, validation, existing–planned–extreme scenarios, and sensitivity analysis.

Quality assurance
Metadata, quality controls, assumptions, limitations, data versions, and processing lineage are documented.
Decision-ready information

Initial assessment & data gaps
Objectives, study area, available data, additional needs, initial risks, and recommended level of detail.

Datasets, maps & indicators
Quality-controlled data, thematic maps, time series, indicators, and comparable visualizations.

Scenarios & risk evaluation
Comparison of existing conditions, alternatives, extremes, sensitivities, consequences, and mitigation options.

Report & executive brief
Methods, results, limitations, recommendations, action priorities, and stakeholder presentation materials.
Benefits for decision makers and policy leaders

Reduce uncertainty
Assumptions, data, variability, and limitations are stated so decision risk is not hidden.

Compare options objectively
Alternative locations, designs, operations, or policies are assessed using consistent indicators.

Optimize cost and time
Data needs and analysis depth are proportionate to risk so resources are used efficiently.

Increase stakeholder confidence
Findings and recommendations are transparent for technical, management, regulatory, and partner review.
A clear process from need to recommendation
- 01

Need definition
Objectives, users, location, project phase, problems, constraints, and the decision to support.
- 02

Scope & work plan
Methods, data, surveys, models, schedule, team, deliverables, review gates, and resource estimate.
- 03

Acquisition & quality control
Collection, inspection, harmonization, documentation, and data-sufficiency assessment.
- 04

Analysis & scenario testing
Processing, modeling, validation, option comparison, sensitivity, and risk evaluation.
- 05

Recommendation & handover
Maps, report, executive brief, presentation, supporting data, and follow-up plan.
Full technical basis and contextOpen this section to read the complete source technical narrative.
A wide range of numerical modeling modules can be applied to address coastal and marine challenges. Each module offers specific capabilities designed for particular applications. Virtually every coastal and ocean engineering problem can be effectively analyzed using numerical modeling, provided that the most appropriate modeling module is selected. Choosing the right model depends on several technical considerations, including:
The physical parameters to be simulated (e.g., currents, water levels, waves, temperature, and others).
The type of water body within the modeling domain (e.g., estuary, open sea, semi-enclosed bay, strait, etc.).
The horizontal grid system (e.g., rectilinear, curvilinear, finite element, etc.).
Share the need, location, available data, and the decision to be supported.
The CORZ team will review the objective, scope, data availability, risk level, schedule, and required outputs to prepare a proportionate approach.
- Location and project phase
- Decision or objective to support
- Primary problems and risks
- Available data
- Expected outputs and schedule

