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




Click on one or more items below to narrow your results.
Atmospheric composition and climate (2) · Carbon cycle and natural vegetation (5) · Climate policy (1) · Crops and grass (6) · Ecosystem services (7) · Emissions (1) · Energy conversion (2) · Energy demand (1) · Flood risks (2) · Human development (3) · Land-use allocation (3) · Land cover and land use (2) · Land degradation (3) · Livestock systems (2) · Terrestrial biodiversity (3) · Water (2)
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 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)
- 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))
- 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))
- 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))
- 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))
- Precipitation - grid (Monthly total precipitation., type: model (from/to model))
- 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))
- Temperature - grid (Monthly average temperature., type: model (from/to model))
- Total primary energy supply (Total primary energy supply., type: model (end-indicator))
- Trade (all commodities) (Bilateral trade between regions per sector, including various crop and livestock sectors., type: model (end-indicator))