Browse data: Variable

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Showing below up to 25 results in range #1 to #25.

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  • Air pollution policy (Air pollution policies set to reach emission reduction targets, represented in the model in the form of energy carrier and sector specific emission factors., type: driver)
  • Biofuel policy (Policies to foster the use of biofuels in transport, such as financial incentives and biofuel mandates and obligations., type: driver)
  • CO2 concentration (Atmospheric CO2 concentration., type: model (from/to model))
  • Capital supply (Capital available to replace depreciated stock and expand the stock to support economic growth., type: driver)
  • 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))
  • Carbon storage price (The costs of capturing and storing CO2, affecting the use of CCS technology., 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)
  • Demand for electricity, heat and hydrogen (The demand for production of electricity, heat and hydrogen., type: model (from/to model))
  • Energy policy (Policy to achieve energy system objectives, such as energy security and energy access., 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 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))
  • Labour supply (Effective supply of labour input to support economic activities, taking into account the participation rate of age cohorts., 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 (Available land for agriculture, per grid or region, depending on suitability for crops, and excluding unsuitable areas such as steep slopes, wetlands and protected areas., type: model (from/to model))
  • 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)
  • Potential crop and grass yield - grid (Potential crop and grass yield, changing over time due to climate change and possibly soil degradation. In some components, i.e. 'Agricultural economy' regional aggregations of the dataset which depend on the actual land-use area, are used., type: model (from/to model))
  • Precipitation - grid (Monthly total precipitation., type: model (from/to model))
  • Primary energy price (The price of primary energy carriers based on production costs., type: model (from/to model))
  • Technological change (crops and livestocks) (Increase in productivity in crop production (yield/ha) and livestock production (carcass weight, offtake rate)., type: driver)
  • Technology development of energy conversion (Learning curves and exogenous learning that determine technology development., type: driver)
  • Temperature - grid (Monthly average temperature., type: model (from/to model))
  • Trade policy (Assumed changes in market and non-market instruments that influence trade flows, subject to WTO rules and country and region regulation., type: driver)

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