Browse data: Variable

Jump to navigation Jump to search

Showing below up to 30 results in range #1 to #30.

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

  • 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)
  • 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)
  • 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)
  • 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)
  • Food availability per capita (Food availability per capita., 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)
  • GINI coefficient (Measure of income disparity in a population. If all have the same income, GINI equals 1. The lower the GINI, the wider the gap between the lowest and highest income groups., type: driver)
  • 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))
  • Lifestyle parameters (Lifestyle parameters influence the relationship between economic activities and demand for energy., 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))
  • People dependent on solid fuel (Proportion of population using traditional biomass and coal for cooking and heating., type: model (from/to model))
  • Population (Number of people per region., type: driver)
  • Population - grid (Number of people per gridcell (using downscaling)., 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)
  • SO2 emissions (SO2 emissions, per source (e.g. fossil fuel burning, deforestation)., 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)
  • 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))
  • Urban population fraction (Urban/rural split of population., type: driver)

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