Parabolic Mild Slope Wave Model illustration by CORZ
Modeling Modules

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
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Parabolic Mild Slope Wave Model visual
CONTEXTField conditions and systems being assessed
Modeling Modules visual
ANALYSISIntegrated data, methods, and modelling
Hydrodynamic Module visual
DECISIONVisual outputs and actionable recommendations
Executive Brief

Clarity before a decision is made

01Evidence-led
02Traceable assumptions
03Decision-ready outputs
04Methods proportionate to risk
Executive Brief

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°.

Parabolic Mild Slope Wave Model visual
01

Decision Supported

Define when and how to use parabolic mild slope wave model, including required data, configuration, validation, and scenarios.

Modeling Modules visual
02

Risk Controlled

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

Hydrodynamic Module visual
03

Success Criteria

Transparent, validated models that respond to scenarios at the decision scale.

Analysis Scope

What is assessed and why it matters

Advection–Dispersion Module visual
01

Represented physical or biogeochemical processes

This aspect is assessed to clarify its implications for parabolic mild slope wave model.

Bottom Sediment Transport Module visual
02

Domain, grid, resolution, and time scale

This aspect is assessed to clarify its implications for parabolic mild slope wave model.

Water Column Sediment Transport Module visual
03

Forcing, boundaries, and initial conditions

This aspect is assessed to clarify its implications for parabolic mild slope wave model.

Coastal Morphology Module visual
04

Parameterization, calibration, and validation

This aspect is assessed to clarify its implications for parabolic mild slope wave model.

Particle Tracking Module visual
05

Scenarios, sensitivity, and uncertainty

This aspect is assessed to clarify its implications for parabolic mild slope wave model.

Oil Spill Analysis Module visual
06

Limitations and fitness for use

This aspect is assessed to clarify its implications for parabolic mild slope wave model.

Data & Methods

A traceable evidence base

Ecosystem Model visual
01

Observations

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

Survey visual
02

Remote sensing & GIS

Satellite imagery, mapping, spatial analysis, temporal change, and integration of multiple data sources.

Data Processing visual
03

Modeling & scenarios

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

Parabolic Mild Slope Wave Model visual
04

Quality assurance

Metadata, quality controls, assumptions, limitations, data versions, and processing lineage are documented.

Core Deliverables

Decision-ready information

Modeling Modules visual
01

Initial assessment & data gaps

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

Hydrodynamic Module visual
02

Datasets, maps & indicators

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

Advection–Dispersion Module visual
03

Scenarios & risk evaluation

Comparison of existing conditions, alternatives, extremes, sensitivities, consequences, and mitigation options.

Bottom Sediment Transport Module visual
04

Report & executive brief

Methods, results, limitations, recommendations, action priorities, and stakeholder presentation materials.

Decision Value

Benefits for decision makers and policy leaders

Water Column Sediment Transport Module visual
01

Reduce uncertainty

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

Coastal Morphology Module visual
02

Compare options objectively

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

Particle Tracking Module visual
03

Optimize cost and time

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

Oil Spill Analysis Module visual
04

Increase stakeholder confidence

Findings and recommendations are transparent for technical, management, regulatory, and partner review.

Delivery Path

A clear process from need to recommendation

  1. Parabolic Mild Slope Wave Model visual
    01

    Need definition

    Objectives, users, location, project phase, problems, constraints, and the decision to support.

  2. Modeling Modules visual
    02

    Scope & work plan

    Methods, data, surveys, models, schedule, team, deliverables, review gates, and resource estimate.

  3. Survey visual
    03

    Acquisition & quality control

    Collection, inspection, harmonization, documentation, and data-sufficiency assessment.

  4. Data Processing visual
    04

    Analysis & scenario testing

    Processing, modeling, validation, option comparison, sensitivity, and risk evaluation.

  5. Modeling Modules visual
    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.

Next Step

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.

Useful initial information
  • Location and project phase
  • Decision or objective to support
  • Primary problems and risks
  • Available data
  • Expected outputs and schedule
Value for Decision Makers

Planning a coastal or ocean project?

Share the location, objectives, key challenges, available data, and expected outputs. The CORZ team will help define a proportionate technical approach.

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