Browse data: Variable
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Is input for: (Click arrow to add another value) Showing below up to 31 results in range #1 to #31.
- Cloudiness - grid (Percentage of cloudiness per month; assumed constant after the historical period, type: historical data)
- Crop production (Regional production per crop., type: model (from/to model))
- Electricity price (The price of electricity., type: model (from/to model))
- Energy efficiency technology (Model assumptions determining future development of energy efficiency., type: driver)
- Energy intensity parameters (Set of parameters determining the energy use per unit of economic activity (in absence of technical energy efficiency improvements)., type: driver)
- Erosion risk - grid (Risk of soil erosion caused by water., 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)
- GDP per capita - grid (Scaled down GDP per capita from country to grid level, based on population density., type: driver)
- Global mean temperature (Average global temperature., 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 use and land-use intensity - grid (High resolution land use and land use intensity based on GLC2000 and IMAGE land cover and land use., type: model (from/to model))
- Lifestyle parameters (Lifestyle parameters influence the relationship between economic activities and demand for energy., type: driver)
- Livestock production (Production of livestock products (dairy, beef, sheep and goats, pigs, poultry)., 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))
- Management intensity livestock (Management intensity of livestock, expressed at the regional level. This parameter is based on data and exogenous assumptions, i.e. current practice and technological change in livestock sectors, and is endogenously adapted within the Agricultural economy component., type: model (from/to model))
- NEP (net ecosystem production) - grid (Net natural exchange of CO2 between biosphere and atmosphere (NPP minus soil respiration), excluding human induced fluxes such as decay of wood products., type: model (from/to model))
- Nitrogen deposition - grid (Deposition of nitrogen., 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)
- Ocean carbon uptake (Ocean carbon uptake., type: model (from/to model))
- Population (Number of people per region., type: driver)
- Precipitation - grid (Monthly total precipitation., type: model (from/to model))
- Preferences (Non-price factors determining market shares, such as preferences, environmental policies, infrastructure and strategic considerations, used for model calibration., type: driver)
- Primary energy price (The price of primary energy carriers based on production costs., 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)
- Protected area - grid (Map of protected nature areas, limiting use of this area., type: driver)
- River discharge - grid (Average flow of water through each grid cell., type: model (from/to model))
- Secondary energy price (The secondary energy price of each energy carrier at the end-use level (coal, oil, gas, bio-energy, electricity, hydrogen) is calculated based on (1) the primary energy price, (2) energy taxes and subsidies, (3) the costs of energy conversion throughout the energy supply chain and (4) a correction factor., type: model (from/to model))
- 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)
- Statistics on inundation depth - grid (Annual statistics of water depth in flooded areas of a grid cell., type: model (from/to model))
- Taxes and other additional costs (Taxes on energy use, and other additional costs, type: driver)
- Temperature - grid (Monthly average temperature., type: model (from/to model))