Browse data: Variable
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- Application (39)
Variable
> Is output of 
: Atmospheric composition and climate or Ecosystem services or Energy supply
: Atmospheric composition and climate or Ecosystem services or Energy supply
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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 (5) · Emissions (1) · Energy conversion (2) · Energy demand (1) · Flood risks (2) · Human development (2) · Land-use allocation (1) · Land degradation (3) · Terrestrial biodiversity (1) · Water (2)
Is output of: (Click arrow to add another value) Showing below up to 24 results in range #1 to #24.
- Bioenergy production (Total bioenergy production., type: model (from/to model))
- CO2 concentration (Atmospheric CO2 concentration., type: model (from/to model))
- Carbon sequestration - grid (Net carbon uptake by terrestrial ecosystems and oceans., type: model (end-indicator))
- 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))
- Flood protection - grid (Reduction in flood risk by natural vegetation., type: model (end-indicator))
- Food availability, including fish and wild food (Food availability, including fish and wild food., type: model (end-indicator))
- Global mean temperature (Average global temperature., 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))
- Pollination - grid (Additional yield due to natural pollination., type: model (end-indicator))
- Precipitation - grid (Monthly total precipitation., type: model (from/to model))
- Presence of natural pest control - grid (Presence of natural pest control., type: model (end-indicator))
- 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))
- Reduced erosion risk - grid (Reduction in erosion risk by natural vegetation., type: model (end-indicator))
- Suitability for nature-based tourism - grid (Attractiveness for nature-based tourism., 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))
- Water availability - grid (Water availability in rivers, lakes and reservoirs., type: model (end-indicator))