
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.
- Evidence-led
- Traceable assumptions
- Decision-ready outputs
- Methods proportionate to risk
One-Page Visual Summary for Quick Briefing
This page includes a one-page leaflet that can be opened in a full-image popup. It helps present the core CORZ service clearly and convincingly during project discussions, executive briefings, and decision-support meetings.
With a more proportional balance between visuals and text, the page feels brighter and more energetic while still keeping the important technical context visible and easy to understand.
- Presentation-ready visual
- Supports quick briefing
- Highlights value and study focus
- Easy to reopen as reference
Use this leaflet as a concise visual entry point before moving into the more detailed technical explanation.



Clarity before a decision is made
Parabolic Mild Slope Wave Model
Clarity before a decision is made
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.
This wave module is based on equations derived from the parabolic approximation of the mild-slope equation. Several parabolic approaches can be applied, ranging from a simple approximation for small wave angles to more advanced formulations for larger wave angles, up to approximately 60°.

Decision Supported
Define when and how to use parabolic mild slope wave model, 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.
What is assessed and why it matters

Represented physical or biogeochemical processes
This aspect is assessed to clarify its implications for parabolic mild slope wave model.

Domain, grid, resolution, and time scale
This aspect is assessed to clarify its implications for parabolic mild slope wave model.

Forcing, boundaries, and initial conditions
This aspect is assessed to clarify its implications for parabolic mild slope wave model.

Parameterization, calibration, and validation
This aspect is assessed to clarify its implications for parabolic mild slope wave model.

Scenarios, sensitivity, and uncertainty
This aspect is assessed to clarify its implications for parabolic mild slope wave model.

Limitations and fitness for use
This aspect is assessed to clarify its implications for parabolic mild slope wave model.
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.
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. This module simulates the effects of wave refraction and shoaling caused by depth variations, as well as wave energy dissipation due to bottom friction and wave breaking. It can also represent the effects of frequency spreading and directional spreading by applying the principle of linear superposition.
This wave module is based on equations derived from the parabolic approximation of the mild-slope equation. Several parabolic approaches can be applied, ranging from a simple approximation for small wave angles to more advanced formulations for larger wave angles, up to approximately 60°. The parabolic equation is solved using a Crank–Nicolson finite difference scheme.
The module is well suited for studying wave disturbances in open coastal waters, including open coastlines with coastal structures such as breakwaters, wave barriers, and similar structures. It is most appropriate when reflected waves from coastal structures can be neglected and when wave diffraction mainly occurs in the principal wave direction. This module is particularly important for analyzing wave conditions, including wave height, wave period, and wave direction, as well as wave-induced currents. These parameters are essential for sediment transport studies and for assessing erosion and deposition patterns in coastal zones.
However, this module is not fully suitable for detailed studies of wave refraction and diffraction in complex harbor areas with many coastal structures. It may still be used to support assessments of the strength and stability of harbor structures, but it is not intended to evaluate the effects of wave refraction and diffraction on vessel stability or ship maneuvering inside harbors.
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