Browse data: Variable

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Variable > Type : driver or external parameter

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Showing below up to 96 results in range #1 to #96.

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  • Accessibility - grid (Accessibility expressed as travel time., type: external parameter)
  • 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)
  • Agricultural land use suitability - grid (Suitability of land in a grid cell for agriculture and forestry, as a function of accessibility, population density, slope and potential crop yields., type: external parameter)
  • 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)
  • Animal productivity (Effective production of livestock commodities per animal per year., type: driver)
  • Biofuel policy (Policies to foster the use of biofuels in transport, such as financial incentives and biofuel mandates and obligations., type: driver)
  • Biome and eco-region - grid (Biomes are groups of plants and animals, often referred as ecosystems. Their spatial distribution on Earth is defined by climatic and geographical conditions defined as contiguous areas with similar climatic conditions. Biomes are often referred to by climatic conditions (such as, tropical, temperate, boreal) and physiological characteristic (such as, grassland, deciduous trees, coniferous trees)., type: external parameter)
  • Built-up area - grid (Urban built-up area per grid cell, excluded from all biophysical modelling in IMAGE, increasing over time as a function of urban population and a country- and scenario-specific urban density curve., type: driver)
  • CLUmondo specific input - grid (CLUMondo specific input., type: external parameter)
  • Capital supply (Capital available to replace depreciated stock and expand the stock to support economic growth., type: driver)
  • Climate target (Climate target, defined in terms of concentration levels, radiative forcing, temperature targets, or cumulative emissions., type: driver)
  • Coastal storm surges (Estimates on storm surge/tide water levels for a large number of coast segments., type: external parameter)
  • Conversion assumptions (Conversion assumptions., type: external parameter)
  • Daily climate dataset - grid (Bias corrected daily precipitation, temperature and potential evaporation input. This data set is according to the monthly Precipitation and Temperature., type: external parameter)
  • Digital water network - grid (Digital water network DDM30 describing drainage directions of surface water, with each cell only draining into one neighbouring cell, organising cells to river basins., type: external parameter)
  • Distance to water - grid (Distance to water., type: external parameter)
  • 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)
  • Ecosystem services effect values (Database on relationships between environmental factors and ecosystem services., type: external parameter)
  • Emission factors (Exogenous emission factors per sector, activity and gas, mostly based on the EDGAR database., type: external parameter)
  • Empirical MSA effect values (Database of empirical relationships between environmental pressures and reduction in mean species abundance for aquatic ecosystems., type: external parameter)
  • 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 policy (Policy to achieve energy system objectives, such as energy security and energy access., 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)
  • Exogenously set market shares (Market shares of traditional biomass and secondary heat, for all demand sectors except the residential sector, exogenous scenario parameter., type: external parameter)
  • FAO deforestation rates (Historical deforestation rates according to FAO., type: external parameter)
  • Feed conversion (Measure of an animal's efficiency in converting feed mass into the desired output such as meat and milk (for cattle, poultry, pigs, sheep and goats)., type: driver)
  • Fertiliser use efficiency (Ratio of fertiliser uptake by a crop to fertiliser applied., type: driver)
  • Fish landing - grid (Fish landings according to statistics from "Sea around us"., type: external parameter)
  • Flood statistics - grid (Annual statistics of water depth and the flooded fraction per grid cell., type: external parameter)
  • Forest plantation demand (Demand for forest plantation area., type: driver)
  • Fraction of selective logging (The fraction of forest harvested in a grid, in clear cutting, selective cutting, wood plantations and additional deforestation. Fraction of selective cut determines the fraction of timber harvested by selective cutting of trees in semi-natural and natural forest., type: driver)
  • GCM pattern (temperature, precipitation) - grid (Climate change patterns of General Circulation models used to downscale changes in global mean temperature to changes in temperature and precipitation at grid level; default pattern from HadCM3 of the Hadley Centre., type: external parameter)
  • 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)
  • 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)
  • GLWD (global lakes and wetlands database) - grid (Global map of lakes and wetlands., type: external parameter)
  • Harvest efficiency (Fraction of harvested wood used as product, the remainder being left as residues. Specified per biomass pool and forestry management type., type: driver)
  • High resolution land cover (GLC2000) - grid (The database contains two levels of land cover information—detailed, regionally optimized land cover legends for each continent and a less thematically detailed global legend that harmonizes regional legends into one consistent product. The land cover maps are all based on daily data from the VEGETATION sensor on-board SPOT 4., type: external parameter)
  • Income and price elasticities (Assumptions on income and price elasticities of demand, substitution elasticities, and many other elasticities,, type: external parameter)
  • Increase in irrigated area - grid (Increase in irrigated area, often based on external projections (e.g., FAO)., type: driver)
  • Infrastructure (infrastructure map from external model, type: external parameter)
  • Initial land cover, land use - grid (Includes current state (intensive agriculture use, extensive agricultural use, no use) of land area and erosion protection represented by greenness index (NDVI = Normalized Difference Vegetation Index)., type: external parameter)
  • Initial production costs (The costs of energy conversion technologies at the start of the simulation., type: external parameter)
  • Initial technology cost (The costs of energy conversion technologies at the start of the simulation.., type: external parameter)
  • Initial temperature, precipitation - grid (Global high resolution climate data from WorldClim., type: external parameter)
  • Investment and Capital Stock (Database on investment and capital stock on country level. Used to determine initial capital stocks and savings rates., type: external parameter)
  • Irrigation conveyance efficiency (Ratio of water supplied to the irrigated field to the quantity withdrawn from the water source, determining the quantity of water lost during transport. This parameter is defined at country level., type: driver)
  • Irrigation project efficiency (Ratio of quantity of irrigation water required by the crop (based on soil moisture deficits) to the quantity withdrawn from rivers, lakes, reservoirs or other sources. This parameter is given at country level., type: driver)
  • Irrigation system (Type of irrigation system: surface, sprinkler or drip. This is allocated at country level, based on Jagermeyr et al (2015)., type: driver)
  • LOD (location of dams and reservoirs) (Location, building year, purpose and size of 7000 largest reservoirs., type: external parameter)
  • Labour supply (Effective supply of labour input to support economic activities, taking into account the participation rate of age cohorts., type: driver)
  • Lake depth - grid (Database of lake depths., type: external parameter)
  • 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)
  • Livestock rations (Determines the feed requirements per feed type (food crops; crop residues; grass and fodder; animal products; scavenging), specified per animal type and production system (extensive/intensive/backyard/intermediate/intensive/broiler/laying hens)., type: driver)
  • MAGICC parameter settings (MAGICC 6.0 parameters calibrated to emulate one out of 19 climate models., type: external parameter)
  • MSA effect values (Database on empirical relationships between environmental pressures and reduction in mean species abundance for terrestrial ecosystems., type: external parameter)
  • Manure spreading fraction (Fraction of manure produced in staples that is spread on agricultural areas., type: driver)
  • Nitrogen critical load (Level of N deposition or concentration that should not be exceeded., type: external parameter)
  • No-go areas - grid (Indicator to account for the fact that tourists do not visit countries in war, with high poverty rates or poor safety conditions. This index includes hunger, refugees, war, corruption, homocides and theft, type: external parameter)
  • Other crops (Fraction of other, not modelled crops in agricultural area, assumed constant in the future., type: external parameter)
  • Other energy and land-use models (Emission projections and marginal abatement costs curves based on external models, such as the IIASA land-use models or the POLES database., type: external parameter)
  • Population (Number of people per region., type: driver)
  • Population - grid (Number of people per gridcell (using downscaling)., type: driver)
  • Preferences (Non-price factors determining market shares, such as preferences, environmental policies, infrastructure and strategic considerations, used for model calibration., type: driver)
  • Private consumption (Private consumption reflects expenditure on private household consumption. It is used in IMAGE as a driver of energy., type: driver)
  • Production system mix (Livestock production is distributed over two systems for dairy and beef production (intensive: mixed and industrial; extensive: pastoral grazing), and to three systems for pigs (backyard, intermediate, intensive) and poultry (backyard, boilers, laying hens) with specific intensities, rations and feed conversion ratios., type: driver)
  • Protected area - grid (Map of protected nature areas, limiting use of this area., type: driver)
  • Radiative forcing factors (Radiative forcing per greenhouse gas., type: external parameter)
  • Regression parameters (Regression parameters of suitability assessment., type: external parameter)
  • Relationship income and emission factor (Relationship between GDP and emission factors., type: external parameter)
  • Residue management (Assumptions on residue management in agriculture., type: external parameter)
  • Road-map - grid (Global road map., type: external parameter)
  • Rules on use of technology (Rules determining how different types of power plants are used., type: external parameter)
  • 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)
  • Slope - grid (Terrain slope index., type: external parameter)
  • Soil properties - grid (Soil properties that have an effect on vegetation growth and hydrology. These characteristics differ between soil types. Relevant characteristics are soil texture and depth and water holding capacity, type: external parameter)
  • Soil types and profiles (S-World) (Soil profiles based on the HWSD (Harmonised World Soil Database) and on the ISRIC-WISE international soil profile dataset, type: external parameter)
  • Species-area relationships (Number of species in relation to the size of an ecosystem., type: external parameter)
  • Sulphate pattern - grid (Patterns of climate change to compute non-linear regional radiative effects of sulphate aerosols., type: external parameter)
  • Taxes and other additional costs (Taxes on energy use, and other additional costs, type: driver)
  • 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)
  • Technology development of energy supply (Learning curves and exogenous learning that determine technology development., type: driver)
  • Timber demand (Demand for roundwood and pulpwood per region., type: driver)
  • Topography - grid (Topography and altitude, determining the altitude range within a grid cell., type: external parameter)
  • Topography, elevation - grid (Global high resolution map of topography and elevation from NASA Shuttle Radar Topography Mission. Digital Elevation Model., type: external parameter)
  • 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)
  • Trade restriction (Trade tariffs and barriers limiting trade in energy carriers (in energy submodel)., type: driver)
  • Traditional biomass from non-forest land (Fraction of traditional fuelwood from non-forestry sources, such as orchard, assumed to be 50% (low-income countries) and 68% (middle-income countries)., type: external parameter)
  • Urban population fraction (Urban/rural split of population., type: driver)
  • Water demand other sectors - grid (Total annual water demand for non-agricultural sectors (households, industry and electricity production), type: external parameter)
  • Water temperature - grid (water temperature., type: external parameter)
  • Weighting factors for temperature, precipitation, land use and slope (Weighting factors for the contribution of temperature, precipitation, land use and slope on distribution of soil properties., type: external parameter)

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