Ocean Wave Prediction illustration by CORZ
Model Applications

Ocean Wave Prediction

Ocean waves are primarily generated by surface winds, although in certain regions they may also be influenced by variations in water temperature and salinity.

  • Evidence-led
  • Traceable assumptions
  • Decision-ready outputs
  • Methods proportionate to risk
Visual Leaflet

One-Page Visual Summary for Quick Briefing

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  • 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.

Ocean Wave Prediction visual
CONTEXTField conditions and systems being assessed
Ocean Prediction visual
ANALYSISIntegrated data, methods, and modelling
Model Applications 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

Ocean Wave Prediction

Clarity before a decision is made

Ocean waves are primarily generated by surface winds, although in certain regions they may also be influenced by variations in water temperature and salinity.

Accurate wave forecasting and real-time wave information are essential for a wide range of marine and coastal activities. In addition to continuous operational forecasting, wave prediction can also be performed for specific weather events, such as forecasting wave heights and their potential impacts during periods of strong winds or storms.

Ocean Wave Prediction visual
01

Decision Supported

Define the approach, priorities, and actions for ocean wave prediction using traceable evidence.

Ocean Prediction visual
02

Risk Controlled

Environmental impact, design failure, operational disruption, uncontrolled cost, and weak assumptions.

Model Applications visual
03

Success Criteria

Comparable options, quantified risk, and implementable recommendations.

Analysis Scope

What is assessed and why it matters

Surface Ocean Current Prediction visual
01

Observations and initial conditions

This aspect is assessed to clarify its implications for ocean wave prediction.

Sea Level Prediction visual
02

Current, sea-level, and wave prediction

This aspect is assessed to clarify its implications for ocean wave prediction.

Physical Ocean Parameter Prediction visual
03

Physical, chemical, and biological parameters

This aspect is assessed to clarify its implications for ocean wave prediction.

Marine Chemical Parameter Prediction visual
04

Uncertainty and forecast horizon

This aspect is assessed to clarify its implications for ocean wave prediction.

Marine Biological Parameter Prediction visual
05

Warning thresholds and information users

This aspect is assessed to clarify its implications for ocean wave prediction.

Maritime Safety visual
06

Dissemination, updates, and evaluation

This aspect is assessed to clarify its implications for ocean wave prediction.

Data & Methods

A traceable evidence base

Port Early Warning System 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.

Ocean Wave Prediction visual
04

Quality assurance

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

Core Deliverables

Decision-ready information

Ocean Prediction visual
01

Initial assessment & data gaps

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

Model Applications visual
02

Datasets, maps & indicators

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

Surface Ocean Current Prediction visual
03

Scenarios & risk evaluation

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

Sea Level Prediction visual
04

Report & executive brief

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

Decision Value

Benefits for decision makers and policy leaders

Physical Ocean Parameter Prediction visual
01

Reduce uncertainty

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

Marine Chemical Parameter Prediction visual
02

Compare options objectively

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

Marine Biological Parameter Prediction visual
03

Optimize cost and time

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

Maritime Safety 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. Ocean Wave Prediction visual
    01

    Need definition

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

  2. Ocean Prediction 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.

Ocean waves are primarily generated by surface winds, although in certain regions they may also be influenced by variations in water temperature and salinity. Wave characteristics are controlled by numerous environmental factors, including bathymetry, seabed roughness, coastal morphology, the geometry of the water body (such as straits, bays, or open oceans), offshore structures, and other physical features. These factors give rise to complex wave phenomena, including wave refraction, diffraction, shoaling, reflection, and other transformation processes that significantly influence wave behavior in coastal and offshore environments.

Accurate wave forecasting and real-time wave information are essential for a wide range of marine and coastal activities. In addition to continuous operational forecasting, wave prediction can also be performed for specific weather events, such as forecasting wave heights and their potential impacts during periods of strong winds or storms. Large waves can disrupt numerous human activities, particularly maritime transportation, where navigation safety is a primary concern. Extreme wave events may also cause coastal flooding, damage to coastal infrastructure, shoreline erosion, and morfological changes along the coast. Offshore facilities, including oil and gas platforms, are similarly vulnerable to severe wave conditions that can interrupt operations and compromise personnel safety. Reliable wave forecasting is therefore critical for ensuring the safety, efficiency, and continuity of marine operations.

Advanced numerical modeling provides a fast and effective approach for predicting ocean wave conditions. Operational forecasting systems are developed through several stages. The first stage defines the spatial scale of the application, ranging from local (ports, river mouths, coastal waters), regional (straits, bays, and coastal seas), to global (open ocean). The second stage involves selecting the most appropriate wave modeling modules based on the characteristics of the study area and the dominant wave-generating mechanisms. The final stage establishes an operational forecasting system capable of delivering continuous, accurate, and timely wave predictions.

Hydrodynamic Modeling is used to simulate wave conditions associated with current circulation, while specialized wave models—including Spectral Wave Modeling, Nearshore Spectral Wave Modeling, Parabolic Mild Slope Modeling, Elliptic Mild Slope Modeling, Boussinesq Wave Modeling, and Wave Analysis Tools—are applied to simulate wave generation, propagation, transformation, and nearshore processes according to the physical characteristics of each marine environment. Marine Geographic Information System (Marine GIS) integrates forecasting results with environmental, operational, and spatial datasets, providing a comprehensive platform for visualization, monitoring, and decision support.

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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