Browse data: Variable
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- Application (39)
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Atmospheric composition and climate (2) · Carbon cycle and natural vegetation (5) · Crops and grass (5) · Ecosystem services (5) · Emissions (1) · Energy conversion (1) · Energy supply and demand (1) · Flood risks (2) · Human development (2) · Land degradation (3) · Terrestrial biodiversity (1) · Water (2)
Showing below up to 21 results in range #1 to #21.
- 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))
- 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 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: model (from/to model))
- Land systems - grid (Thirty land systems as defined in CLUMondo, characterized by specific levels of built-up area, cropland area, livestock density and management intensity., 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))
- Regression parameters (Regression parameters of suitability assessment., type: external parameter)
- Residual damage (Climate change damage remaining after adaptation., type: model (end-indicator))
- Temperature - grid (Monthly average temperature., type: model (from/to model))
- Water stress - grid (Water stress is a basin scale indicator of the mean annual water demand to availability ratio. This ratio gives an indication for the level of water stress experienced in the basin. Basins with a water demand to availability ratio above 0.2 are considered medium water stressed, basins with ratios above 0.4 are severely water stressed., type: model (end-indicator))