Browse data: Variable

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Variable > Is input for : Energy supply and demand or Flood risks or Land degradation

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Showing below up to 16 results in range #1 to #16.

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  • Carbon price (Carbon price on the international trading market (in USD in 2005 per tonne C-eq) calculated from aggregated regional permit demand and supply curves derived from marginal abatement costs., type: model (from/to model))
  • Energy resources (Volume of energy resource per carrier, region and supply cost class (determines depletion dynamics)., type: driver)
  • GDP per capita (Gross Domestic Product per capita, measured as the market value of all goods and services produced in a region in a year, and is used in the IMAGE framework as a generic indicator of economic activity., type: driver)
  • GDP per capita - grid (Scaled down GDP per capita from country to grid level, based on population density., type: driver)
  • Land cover, land use - grid (Multi-dimensional map describing all aspects of land cover and land use per grid cell, such as type of natural vegetation, crop and grass fraction, crop management, fertiliser and manure input, livestock density., type: model (from/to model))
  • Land supply for bioenergy - grid (Land available for sustainable bioenergy production (abandoned agricultural land and non-forested land)., type: model (from/to model))
  • Lifestyle parameters (Lifestyle parameters influence the relationship between economic activities and demand for energy., type: driver)
  • Number of wet days - grid (Number of days with a rain event, per month; assumed constant after the historical period, type: historical data)
  • Population (Number of people per region., type: driver)
  • Population - grid (Number of people per gridcell (using downscaling)., type: driver)
  • Precipitation - grid (Monthly total precipitation., type: model (from/to model))
  • Private consumption (Private consumption reflects expenditure on private household consumption. It is used in IMAGE as a driver of energy., type: driver)
  • Sector value added (Value Added for economic sectors: Industry (IVA), Services (SVA) and Agriculture (AVA). These variables are used in IMAGE to indicate economic activity., type: driver)
  • Technology development of energy conversion (Learning curves and exogenous learning that determine technology development., type: driver)
  • Technology development of energy supply (Learning curves and exogenous learning that determine technology development., type: driver)
  • Temperature - grid (Monthly average temperature., type: model (from/to model))

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