Browse data: Variable
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- Application (39)
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Atmospheric composition and climate (7) · Carbon cycle and natural vegetation (5) · Climate policy (5) · Crops and grass (6) · Ecosystem services (7) · Flood risks (2) · Human development (5) · Land-use allocation (2) · Land cover and land use (2) · Land degradation (3) · Livestock systems (2) · Nutrients (1) · Terrestrial biodiversity (4) · Water (2)
Showing below up to 23 results in range #1 to #23.
- BC, OC and NOx emissions (Emissions of BC, OC and NOx per year., type: model (from/to model))
- CO and NMVOC emissions (Emissions from CO and NMVOC., type: model (from/to model))
- CO2 concentration (Atmospheric CO2 concentration., type: model (from/to model))
- CO2 emission from energy and industry (CO2 emission from energy and industry., 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))
- 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))
- Nitrogen deposition - grid (Deposition of nitrogen., type: model (from/to model))
- Non-CO2 GHG concentrations (Atmospheric concentration of non-CO2 greenhouse gases., type: model (end-indicator))
- Non-CO2 GHG emissions (CH4, N2O and Halocarbons) (Non-CO2 GHG emissions (CH4, N2O, Halocarbons)., type: model (from/to model))
- 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))
- SO2 emissions (SO2 emissions, per source (e.g. fossil fuel burning, deforestation)., 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))