CONTEXTField conditions and systems being assessed
Forum
Modeling
Information exchange on technical issues in model development using various programs, software, methods, numerical solutions, and other related approaches.
- Evidence-led
- Traceable assumptions
- Decision-ready outputs
- Methods proportionate to risk
ANALYSISIntegrated data, methods, and modelling
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
Modeling
Clarity before a decision is made
Information exchange on technical issues in model development using various programs, software, methods, numerical solutions, and other related approaches.
Decision Supported
Define the approach, priorities, and actions for modeling using traceable evidence.
Risk Controlled
Context-free information, unverified claims, and unproductive discussion.
Success Criteria
Focused, relevant knowledge exchange that helps resolve problems.
Analysis Scope
What is assessed and why it matters
Issue definition and context
This aspect is assessed to clarify its implications for modeling.
Evidence, experience, and information sources
This aspect is assessed to clarify its implications for modeling.
Technical questions and solution options
This aspect is assessed to clarify its implications for modeling.
Limitations, uncertainty, and lessons
This aspect is assessed to clarify its implications for modeling.
Moderation and discussion ethics
This aspect is assessed to clarify its implications for modeling.
Documentation of key points
This aspect is assessed to clarify its implications for modeling.
Data & Methods
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.
Core Deliverables
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.
Decision Value
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.
Delivery Path
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.
Information exchange on technical issues in model development using various programs, software, methods, numerical solutions, and other related approaches. The purpose is to assist practitioners in ocean modeling when they encounter technical problems in modeling activities.
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Important Issues
Information exchange on problems related to Indonesian marine waters that can be addressed using modeling technology.
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Learn more →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