Browse data: Variable
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- Application (39)
Variable
> Is output of 
: Agricultural economy or Atmospheric composition and climate or Energy demand
: Agricultural economy or Atmospheric composition and climate or Energy demand
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Is input for: Atmospheric composition and climate (2) · Carbon cycle and natural vegetation (5) · Crops and grass (6) · Ecosystem services (7) · Emissions (1) · Energy conversion (1) · Flood risks (2) · Forest management (1) · Human development (4) · Land-use allocation (2) · Land cover and land use (2) · Land degradation (3) · Livestock systems (2) · Terrestrial biodiversity (3) · Water (2)
Is output of: (Click arrow to add another value) Showing below up to 22 results in range #1 to #22.
- 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)
- Commodity price (Commodity price per sector, including various crop and livestock sectors.., type: model (end-indicator))
- Crop production (Regional production per crop., type: model (from/to model))
- Demand (all commodities) (Demand per sector including various crop and livestock sectors., 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))
- 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))
- Food availability per capita (Food availability per capita., type: model (from/to model))
- Global mean temperature (Average global temperature., type: model (from/to model))
- Livestock production (Production of livestock products (dairy, beef, sheep and goats, pigs, poultry)., type: model (from/to model))
- Management intensity crops (Management intensity crops, expressing actual yield level compared to potential yield. While potential yield is calculated for each grid cell, this parameter is expressed at the regional level. This parameter is based on data and exogenous assumptions - current practice and technological change in agriculture - and is endogenously adapted in the agro-economic model., type: model (from/to model))
- Management intensity livestock (Management intensity of livestock, expressed at the regional level. This parameter is based on data and exogenous assumptions, i.e. current practice and technological change in livestock sectors, and is endogenously adapted within the Agricultural economy component., 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))
- Temperature - grid (Monthly average temperature., type: model (from/to model))
- Trade (all commodities) (Bilateral trade between regions per sector, including various crop and livestock sectors., type: model (end-indicator))