Browse data: Variable

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Showing below up to 21 results in range #1 to #21.

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  • CO2 concentration (Atmospheric CO2 concentration., type: model (from/to model))
  • 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))
  • Change in soil properties - grid (Change in soil properties, such as clay/sand content, organic carbon content, soil depth (topsoil/subsoil)., type: model (from/to model))
  • Cloudiness - grid (Percentage of cloudiness per month; assumed constant after the historical period, type: historical data)
  • Crop irrigation water demand - grid (Water requirements for crop irrigation, calculated as daily moisture deficit during the growing season., 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)
  • Irrigation system (Type of irrigation system: surface, sprinkler or drip. This is allocated at country level, based on Jagermeyr et al (2015)., type: driver)
  • Irrigation water supply - grid (Water supplied to irrigated fields; equal to irrigation water withdrawal minus water lost during transport, depending on the conveyance efficiency., type: model (from/to model))
  • 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)
  • Management intensity crops (Management intensity crops, expressing actual yield level compared to potential yield. While potential yield is calculated for each grid cell, this parameter is expressed at the regional level. This parameter is based on data and exogenous assumptions - current practice and technological change in agriculture - and is endogenously adapted in the agro-economic model., type: model (from/to model))
  • 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)
  • 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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