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 (6) · Emissions (1) · Energy conversion (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 19 results in range #1 to #19.
- CO2 concentration (Atmospheric CO2 concentration., type: model (from/to model))
- Cloudiness - grid (Percentage of cloudiness per month; assumed constant after the historical period, type: historical data)
- 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))
- 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))
- Expected nr of affected people - grid (Population expected to be exposed to floods per year., type: model (end-indicator))
- Expected value of affected GDP - grid (GDP expected to be exposed to floods per year., type: model (end-indicator))
- Global mean temperature (Average global temperature., 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))
- 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))
- Statistics of inundation extent - grid (Annual statistics of flooded fraction per grid cell., type: model (end-indicator))
- Statistics on inundation depth - grid (Annual statistics of water depth in flooded areas of a grid cell., type: model (from/to model))
- Statistics on river discharge - grid (Annual statistics on river discharge., type: model (end-indicator))
- Temperature - grid (Monthly average temperature., type: model (from/to model))