Browse data: Variable
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- Application (39)
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Is input for: Atmospheric composition and climate (2) · Carbon cycle and natural vegetation (5) · Crops and grass (5) · Ecosystem services (5) · Emissions (2) · Energy conversion (2) · Energy supply and demand (1) · Flood risks (2) · Forest management (1) · Human development (3) · 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))
- 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))
- Demand for electricity, heat and hydrogen (The demand for production of electricity, heat and hydrogen., type: model (from/to model))
- Demand for fossil fuels and bioenergy (The demand for the production of fossil fuels and bioenergy., type: model (end-indicator))
- Demand traditional biomass (Regional demand for traditional bioenergy., type: model (from/to model))
- 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))
- 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 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))
- 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))
- People dependent on solid fuel (Proportion of population using traditional biomass and coal for cooking and heating., 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))
- Temperature - grid (Monthly average temperature., type: model (from/to model))