Browse data: Variable
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- Application (39)
Variable
> Is output of 
: Atmospheric composition and climate or Climate policy or Terrestrial biodiversity
: Atmospheric composition and climate or Climate policy 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 conversion (1) · Energy supply and demand (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 22 results in range #1 to #22.
- Adaptation costs (Costs for adaptation measures to reduce the vulnerability of natural and human systems to actual or expected climate change effects., type: model (end-indicator))
- 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))
- Carbon price (Carbon price on the international trading market (in USD in 2005 per tonne C-eq) calculated from aggregated regional permit demand and supply curves derived from marginal abatement costs., type: model (from/to model))
- Cloudiness - grid (Percentage of cloudiness per month; assumed constant after the historical period, type: historical data)
- Consumption loss (Loss of private consumption due to mitigation and adaptation costs and residual damage., type: model (end-indicator))
- Emission abatement (Reduction in emission factors as a function of Climate policy., type: model (from/to model))
- Emission trading (Emission credits traded between regions, type: model (end-indicator))
- Global emission pathways (Global emission pathway consistent with a specific long-term climate target., 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))
- Mitigation costs (Net costs of measures to reduce greenhouse gas emissions., type: model (end-indicator))
- 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))
- Residual damage (Climate change damage remaining after adaptation., 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))
- Wilderness area - grid (Non-agricultural areas close to their natural state, with MSA values above 0.8., type: model (end-indicator))