Browse data: Variable
Jump to navigation
Jump to search
Is input for:
Is output of: (Click arrow to add another value)
- Choose a category:
- Application (39)
Click on one or more items below to narrow your results.
Is input for: Aquatic biodiversity (1) · Atmospheric composition and climate (2) · Carbon cycle and natural vegetation (5) · Crops and grass (6) · Ecosystem services (7) · 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)
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))
- 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))
- N and P discharge to surface water - grid (N and P discharge to surface water., type: model (from/to model))
- N and P in wastewater discharge - grid (Discharge of N and P to surface water from wastewater., type: model (end-indicator))
- NH3 emissions - grid (Ammonia emissions from applied nitrogen fertiliser and manure., type: model (end-indicator))
- 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))
- Soil N budget - grid (N budget in the soil, used to calculate fate of nitrogen in the soil-hydrology system and for determining emissions to the atmosphere., type: model (end-indicator))
- Soil P budget - grid (P budget in the soil, used to calculate fate of nitrogen in the soil-hydrology system (residual soil P or surface runoff)., 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))