Browse data: Variable

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Showing below up to 24 results in range #1 to #24.

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  • Adaptation level (Level of adaptation to climate change , defined as the share of climate change damage avoided by adaptation. This level is be calculated by the model to minimise adaptation costs and residual damage, or set by the user., type: driver)
  • BC, OC and NOx emissions (Emissions of BC, OC and NOx per year., type: model (from/to model))
  • CO and NMVOC emissions (Emissions from CO and NMVOC., type: model (from/to model))
  • CO2 emission from energy and industry (CO2 emission from energy and industry., type: model (from/to model))
  • Climate target (Climate target, defined in terms of concentration levels, radiative forcing, temperature targets, or cumulative emissions., type: driver)
  • 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))
  • Domestic climate policy (Planned and/or implemented national climate and energy policies, such as taxes, feed-in tariffs, renewable targets, efficiency standards, that affect projected emission reduction., type: driver)
  • Energy resources (Volume of energy resource per carrier, region and supply cost class (determines depletion dynamics)., type: driver)
  • Equity principles (General concepts of distributive justice or fairness used in effort sharing approaches. Three key equity principles are: Responsibility (historical contribution to warming); capability (ability to pay for mitigation); and equality (equal emissions allowances per capita)., 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)
  • 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))
  • Land-use CO2 emissions - grid (Land-use CO2 emissions from deforestation, wood harvest, agricultural harvest, bioenergy plantations and timber decay., type: model (from/to model))
  • Learning rate (Determines the rate of technology development in learning equations., type: driver)
  • Marginal abatement cost (Cost of an additional unit of pollution abated (CO2eq). A marginal abatement cost curve (MAC curve) is a set of options available to an economy to reduce pollution, ranked from the lowest to highest additional costs., type: model (from/to model))
  • Non-CO2 GHG emissions (CH4, N2O and Halocarbons) (Non-CO2 GHG emissions (CH4, N2O, Halocarbons)., 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))
  • SO2 emissions (SO2 emissions, per source (e.g. fossil fuel burning, deforestation)., type: model (from/to model))
  • 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)

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