CONTEXTField conditions and systems being assessed
Databases
Databases
Climate and marine databases available from national and international institutions can be used for modeling purposes.
- Evidence-led
- Traceable assumptions
- Decision-ready outputs
- Methods proportionate to risk
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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
Databases
Clarity before a decision is made
Climate and marine databases available from national and international institutions can be used for modeling purposes.
Coastal databases collected from national and international survey institutions include coastal characteristic data, such as shoreline data, detailed bathymetry, seabed characteristics, land cover, and other related data. A large amount of marine data has been collected with high spatial resolution and long temporal coverage.
Decision Supported
Define the approach, priorities, and actions for databases using traceable evidence.
Risk Controlled
Mismatched resolution, period, variable definition, quality, and use licensing.
Success Criteria
Documented, consistent, traceable datasets fit for purpose.
Solution Paths
Choose the area that matches your need
8.01
Coastal
Coastal databases are needed in modeling as model input data. These data include shoreline data, coastal bathymetry, and seabed characteristics. Coastal databases are also useful as additional information…
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8.02
Marine
Marine databases are needed in modeling. These databases may consist of in situ datasets and reanalysis data produced using various methods, such as data assimilation, optimal interpolation, grid analysis,…
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8.03
Climate
Climate databases are highly needed in modeling as model input data. These databases are useful as one of the driving forces for currents and for representing heat energy exchange between the atmosphere and…
Learn more →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.
Climate and marine databases available from national and international institutions can be used for modeling purposes. These data are useful for preparing model input data, model verification and validation, boundary condition data, and model parameterization. Databases from international research institutions not only provide in situ datasets, but also model output data, including assimilation data and prediction data. In addition, reanalysis datasets are also available in the form of gridded data produced from the processing of in situ data.
Coastal databases collected from national and international survey institutions include coastal characteristic data, such as shoreline data, detailed bathymetry, seabed characteristics, land cover, and other related data. A large amount of marine data has been collected with high spatial resolution and long temporal coverage. Similarly, climate databases are available in the form of synoptic data and reanalysis data. In general, these databases are provided by international research institutions.
If these data are needed, please complete the form below. If the required database is sourced from an international research institution and is provided in its original format, no fee will be charged. However, if the dataset has been converted into a specific data format to make it easier for users, a data standardization fee will be applied. Meanwhile, if the dataset is sourced from a national institution in its original format, it cannot be distributed. However, if the dataset has gone through a data processing stage or is derived from the original data, it can be distributed and will be subject to a data processing fee at a relatively affordable cost.
Setelah diklik untuk mengisi isiannya maka akan muncul form aplikasi sebagai berikut:
Related Options
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Home
CORZ turns data, numerical modeling, and multidisciplinary expertise into actionable recommendations for government, industry, researchers, and civil society organizations.
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Model Applications
Indonesia, with one of the world's largest marine areas and longest coastlines, offers tremendous opportunities for offshore development and sustainable ocean-based industries.
Learn more →Modeling Modules
A wide range of numerical modeling modules can be applied to address coastal and marine challenges.
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Studies and Assessments
Various studies and assessments using modeling technology have been conducted in several Indonesian waters.
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