Browse data: Overview
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- Application (39)
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Showing below up to 12 results in range #1 to #12.
- Computer models overview (Computer models implement the components (conceptual models) of IMAGE framework.
Computer models are classified in: core, associated, related and other used external models/data sources.- Core IMAGE models are used for the integrated assessments projects and developed by the IMAGE team or in close collaboration with partners.
- Associated models use the results of the core models to compute various impacts. These models are developed in consultation with the IMAGE team
- Related models are not part of the IMAGE framework, but may be used in the framework, depending on the type of project. They are not developed by the IMAGE team.
- External models/data sources are used for data only.)
- Dataflow overview (The graphical dataflow overviews show how the framework components are related via input/output.
- Dataflow overview - all components (Graphical dataflow overview of all components.)
- Dataflow overview - driver components (Graphical dataflow overview of drivercomponents.)
- Dataflow overview - impact components (Graphical dataflow overview of impact components.)
- Dataflow overview - interaction components (Graphical dataflow overview of interaction components.)
- Dataflow overview - pressure components (Graphical dataflow overview of pressure components.)
- Dataflow overview - response components (Graphical dataflow overview of response components.)
- Dataflow overview - state components (Graphical dataflow overview of state components.)
- Extensive components overview (All components of the IMAGE framework per type, i.e. driver components; pressure components; state components; impact components and response components, including key publications and flowcharts.)
- Framework overview (All components (models, modules) of the IMAGE framework are depicted in this schematic. Roughly they comprise the Driver, Pressure, State, Impact, Response (DPSIR) framework.)
- Variable overview (List of all variables per type:
- Drivers are external model variables that drive the system.
- Model variables are output of a model component and used as input for another model component or final output.
- Historical datasets such as 'Nr of wet days'
- External parameters originate from external models, databases, or other sources. They are mostly used as input for one model component.)