Browse data: Variable

Jump to navigation Jump to search

Showing below up to 23 results in range #1 to #23.

View (previous 750 | next 750) (20 | 50 | 100 | 250 | 500)

  • Animal stocks (Number of animals per category: non-dairy cattle; dairy cattle; pigs; sheep and goats; poultry., type: model (from/to model))
  • 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)
  • Emission abatement (Reduction in emission factors as a function of Climate policy., type: model (from/to model))
  • Energy and industry activity level (Activity levels in the energy and industrial sector, per process and energy carrier, for example, the combustion of petrol for transport or the production of crude oil., type: model (from/to model))
  • Energy resources (Volume of energy resource per carrier, region and supply cost class (determines depletion dynamics)., type: driver)
  • Feed crop requirement (Total amount of feed required for the production of animal products. Grass and fodder species are consumed by grazing animals only (dairy and non-dairy cattle, sheep and goats), while pigs and poultry are fed feed crops and other feedstuffs., type: model (from/to model))
  • 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 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))

View (previous 750 | next 750) (20 | 50 | 100 | 250 | 500)