Browse data: Variable

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Application (39)

Variable > Is input for

: Atmospheric composition and climate

or Human development

or Terrestrial biodiversity

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driver (5) · historical data (2) · model (from/to model) (16)

Agricultural economy (3) · Atmospheric composition and climate (5) · Carbon cycle and natural vegetation (2) · Emissions (6) · Energy demand (1) · Land cover and land use (1)

Showing below up to 23 results in range #1 to #23.

BC, OC and NOx emissions (Emissions of BC, OC and NO_x 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))
Cloudiness - grid (Percentage of cloudiness per month; assumed constant after the historical period, type: historical data)
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)
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 CO2 emissions - grid (Land-use CO₂ emissions from deforestation, wood harvest, agricultural harvest, bioenergy plantations and timber decay., 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))
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)
People dependent on solid fuel (Proportion of population using traditional biomass and coal for cooking and heating., type: model (from/to model))
Population - grid (Number of people per gridcell (using downscaling)., type: driver)
Precipitation - grid (Monthly total precipitation., type: model (from/to model))
Protected area - grid (Map of protected nature areas, limiting use of this area., type: driver)
SO2 emissions (SO₂ emissions, per source (e.g. fossil fuel burning, deforestation)., type: model (from/to model))
Temperature - grid (Monthly average temperature., type: model (from/to model))
Urban population fraction (Urban/rural split of population., type: driver)

Browse data: Variable

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