Drivers: Difference between revisions

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m (RinekeOostenrijk moved page Scenario drivers to Drivers without leaving a redirect)
m (Text replace - "ExternalModel=" to "Model-Database=")
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|Application=Millennium Ecosystem Assessment - MA (2005) project; OECD Environmental Outlook to 2050 (2012) project; IPCC SRES (2000) project; Shared Socioeconomic Pathways - SSP (2014) project
|Application=Millennium Ecosystem Assessment - MA (2005) project; OECD Environmental Outlook to 2050 (2012) project; IPCC SRES (2000) project; Shared Socioeconomic Pathways - SSP (2014) project
|Overview=Framework overview; Variable overview; Policy interventions per component overview;  
|Overview=Framework overview; Variable overview; Policy interventions per component overview;  
|ExternalModel=ENV-Growth model; MAGNET model;
|Model-Database=ENV-Growth model; MAGNET model;
|KeyReference=IPCC, 2000; OECD, 2012; MA, 2005;
|KeyReference=IPCC, 2000; OECD, 2012; MA, 2005;
|Description=To explore future scenarios, exogenous assumptions need to be made for a range of factors that shape the direction and rate of change in key model variables and results. Together with the endogenous functional relationships and model parameters that typify model behaviour, these exogenous assumptions drive the outcome of model calculations. These assumptions are the drivers that determine the model results, subject to the assumed external conditions.
|Description=To explore future scenarios, exogenous assumptions need to be made for a range of factors that shape the direction and rate of change in key model variables and results. Together with the endogenous functional relationships and model parameters that typify model behaviour, these exogenous assumptions drive the outcome of model calculations. These assumptions are the drivers that determine the model results, subject to the assumed external conditions.

Revision as of 09:54, 24 May 2014

Scenario development and model drivers for IMAGE 3.0
Flowchart Drivers. Model drives are inferred from scenario storylines taking into account external data sources, such as time series, cross-sector data, and literature sources.