Browse data: Variable
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- Application (39)
Variable
> Is output of
: Agricultural economy
or Atmospheric composition and climate
or Energy conversion




Click on one or more items below to narrow your results.
Atmospheric composition and climate (2) · Carbon cycle and natural vegetation (5) · Crops and grass (6) · Ecosystem services (7) · Emissions (1) · Energy demand (2) · Energy supply (1) · Flood risks (2) · Human development (3) · Land-use allocation (2) · Land cover and land use (2) · Land degradation (3) · Livestock systems (2) · Terrestrial biodiversity (3) · Water (2)
Showing below up to 22 results in range #1 to #22.
- CO2 concentration (Atmospheric CO2 concentration., type: model (from/to model))
- CO2 stored (The amount of CO2 stored in underground reservoirs by applying CO2 capture technology.., type: model (end-indicator))
- 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 primary energy (Total demand for energy production. Sum of final energy demand and energy inputs into energy conversion processes., type: model (from/to model))
- Electricity price (The price of electricity., 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))
- Precipitation - grid (Monthly total precipitation., type: model (from/to model))
- Radiative forcing (Radiative forcing of greenhouse gases, ozone, and aerosols., type: model (end-indicator))
- Secondary energy price (The secondary energy price of each energy carrier at the end-use level (coal, oil, gas, bio-energy, electricity, hydrogen) is calculated based on (1) the primary energy price, (2) energy taxes and subsidies, (3) the costs of energy conversion throughout the energy supply chain and (4) a correction factor., type: model (from/to model))
- 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))