Browse data: Variable
Jump to navigation
Jump to search
Is input for: (Click arrow to add another value)
- Choose a category:
- Application (39)
Click on one or more items below to narrow your results.
Is input for: (Click arrow to add another value) Showing below up to 28 results in range #1 to #28.
- CO2 concentration (Atmospheric CO2 concentration., 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 primary energy (Total demand for energy production. Sum of final energy demand and energy inputs into energy conversion processes., 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)
- 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 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))
- Learning rate (Determines the rate of technology development in learning equations., type: driver)
- 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)
- Potential bioenergy yield - grid (Potential yields of bioenergy crops., type: model (from/to model))
- 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)
- 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)
- Taxes and other additional costs (Taxes on energy use, and other additional costs, 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))
- Trade restriction (Trade tariffs and barriers limiting trade in energy carriers (in energy submodel)., type: driver)