Browse data: Variable
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Variable
> Is output of 
: Atmospheric composition and climate or Energy supply or Terrestrial biodiversity
: Atmospheric composition and climate or Energy supply or Terrestrial biodiversity
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Is input for: Atmospheric composition and climate (2) · Carbon cycle and natural vegetation (5) · Climate policy (1) · Crops and grass (5) · Ecosystem services (6) · Emissions (1) · Energy conversion (2) · Energy demand (1) · Flood risks (2) · Human development (2) · Land-use allocation (1) · 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 21 results in range #1 to #21.
- 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))
- Bioenergy production (Total bioenergy production., type: model (from/to model))
- CO2 concentration (Atmospheric CO2 concentration., type: model (from/to model))
- Carbon storage price (The costs of capturing and storing CO2, affecting the use of CCS technology., type: model (from/to model))
- Cloudiness - grid (Percentage of cloudiness per month; assumed constant after the historical period, type: historical data)
- 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))
- Energy security indicators (Indicators on the status of energy security, such as energy self-sufficiency., type: model (end-indicator))
- 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))
- 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 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))
- Primary energy price (The price of primary energy carriers based on production costs., 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))
- Temperature - grid (Monthly average temperature., type: model (from/to model))
- Total primary energy supply (Total primary energy supply., type: model (end-indicator))
- Wilderness area - grid (Non-agricultural areas close to their natural state, with MSA values above 0.8., type: model (end-indicator))