Browse data: Variable
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Showing below up to 26 results in range #1 to #26.
- CO2 concentration (Atmospheric CO2 concentration., type: model (from/to model))
- Change in soil properties - grid (Change in soil properties, such as clay/sand content, organic carbon content, soil depth (topsoil/subsoil)., type: model (from/to model))
- Cloudiness - grid (Percentage of cloudiness per month; assumed constant after the historical period, type: historical data)
- Crop production (Regional production per crop., type: model (from/to model))
- 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))
- Energy resources (Volume of energy resource per carrier, region and supply cost class (determines depletion dynamics)., type: driver)
- Erosion risk - grid (Risk of soil erosion caused by water., type: model (from/to model))
- GDP per capita - grid (Scaled down GDP per capita from country to grid level, based on population density., type: driver)
- Irrigation water supply - grid (Water supplied to irrigated fields; equal to irrigation water withdrawal minus water lost during transport, depending on the conveyance efficiency., type: model (from/to model))
- Land cover, land use - grid (Multi-dimensional map describing all aspects of land cover and land use per grid cell, such as type of natural vegetation, crop and grass fraction, crop management, fertiliser and manure input, livestock density., type: model (from/to model))
- Land supply for bioenergy - grid (Land available for sustainable bioenergy production (abandoned agricultural land and non-forested land)., type: model (from/to model))
- Land use and land-use intensity - grid (High resolution land use and land use intensity based on GLC2000 and IMAGE land cover and land use., type: model (from/to model))
- Learning rate (Determines the rate of technology development in learning equations., type: driver)
- 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))
- NEP (net ecosystem production) - grid (Net natural exchange of CO2 between biosphere and atmosphere (NPP minus soil respiration), excluding human induced fluxes such as decay of wood products., 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))
- Potential bioenergy yield - grid (Potential yields of bioenergy crops., type: model (from/to model))
- Precipitation - grid (Monthly total precipitation., type: model (from/to model))
- Protected area - grid (Map of protected nature areas, limiting use of this area., type: driver)
- River discharge - grid (Average flow of water through each grid cell., type: model (from/to model))
- Statistics on inundation depth - grid (Annual statistics of water depth in flooded areas of a grid cell., type: model (from/to model))
- Technology development of energy supply (Learning curves and exogenous learning that determine technology development., type: driver)
- Temperature - grid (Monthly average temperature., type: model (from/to model))
- Trade restriction (Trade tariffs and barriers limiting trade in energy carriers (in energy submodel)., type: driver)