Browse data: Variable
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- Application (39)
Variable
> Is output of 
: Atmospheric composition and climate or Energy conversion or Terrestrial biodiversity
: Atmospheric composition and climate or Energy conversion or Terrestrial biodiversity
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Is input for: Atmospheric composition and climate (2) · Carbon cycle and natural vegetation (5) · Crops and grass (5) · Ecosystem services (6) · Emissions (1) · Energy demand (2) · Energy supply (1) · Flood risks (2) · Human development (2) · Land cover and land use (2) · Land degradation (3) · Terrestrial biodiversity (1) · Water (2)
Is output of: (Click arrow to add another value) Showing below up to 19 results in range #1 to #19.
- Biodiversity Intactness Index (BII) – grid (The average abundance across a set of species in each area relative to their reference population, which would be populations before any humans impacts but are usually populations in the least impacted settings available, type: model (from/to model))
- CO2 concentration (Atmospheric CO2 concentration., type: model (from/to model))
- CO2 stored (The amount of CO2 stored in underground reservoirs by applying CO2 capture technology.., type: model (end-indicator))
- 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 and industry activity level (Activity levels in the energy and industrial sector, per process and energy carrier, for example, the combustion of petrol for transport or the production of crude oil., type: model (from/to model))
- Global mean temperature (Average global temperature., type: model (from/to model))
- Land use and land-use intensity - grid (High resolution land use and land use intensity based on GLC2000 and IMAGE land cover and land use., type: model (from/to model))
- MSA (mean species abundance) - grid (Mean Species Abundance (MSA) relative to the natural state of original species., type: model (from/to model))
- Non-CO2 GHG concentrations (Atmospheric concentration of non-CO2 greenhouse gases., type: model (end-indicator))
- Number of wet days - grid (Number of days with a rain event, per month; assumed constant after the historical period, type: historical data)
- Ocean carbon uptake (Ocean carbon uptake., type: model (from/to model))
- Precipitation - grid (Monthly total precipitation., type: model (from/to model))
- Radiative forcing (Radiative forcing of greenhouse gases, ozone, and aerosols., type: model (end-indicator))
- SRI (species richness index) - grid (Species richness calculated from MSA and species area curves., type: model (end-indicator))
- 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))
- Temperature - grid (Monthly average temperature., type: model (from/to model))
- Wilderness area - grid (Non-agricultural areas close to their natural state, with MSA values above 0.8., type: model (end-indicator))