Browse data: Variable
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Is input for: (Click arrow to add another value) Showing below up to 24 results in range #1 to #24.
- Agricultural land use suitability - grid (Suitability of land in a grid cell for agriculture and forestry, as a function of accessibility, population density, slope and potential crop yields., type: external parameter)
- 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 emission from energy and industry (CO2 emission from energy and industry., type: model (from/to model))
- Carbon pools in vegetation - grid (Carbon pools in leaves, stems, branches and roots)., type: model (from/to model))
- Cloudiness - grid (Percentage of cloudiness per month; assumed constant after the historical period, type: historical data)
- 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))
- Demand traditional biomass (Regional demand for traditional bioenergy., type: model (from/to model))
- Energy resources (Volume of energy resource per carrier, region and supply cost class (determines depletion dynamics)., type: driver)
- Forest plantation demand (Demand for forest plantation area., type: driver)
- Fraction of selective logging (The fraction of forest harvested in a grid, in clear cutting, selective cutting, wood plantations and additional deforestation. Fraction of selective cut determines the fraction of timber harvested by selective cutting of trees in semi-natural and natural forest., type: driver)
- Harvest efficiency (Fraction of harvested wood used as product, the remainder being left as residues. Specified per biomass pool and forestry management type., type: driver)
- 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 CO2 emissions - grid (Land-use CO2 emissions from deforestation, wood harvest, agricultural harvest, bioenergy plantations and timber decay., type: model (from/to model))
- Learning rate (Determines the rate of technology development in learning equations., type: driver)
- 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))
- 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)
- Potential bioenergy yield - grid (Potential yields of bioenergy crops., type: model (from/to model))
- SO2 emissions (SO2 emissions, per source (e.g. fossil fuel burning, deforestation)., type: model (from/to model))
- Technology development of energy supply (Learning curves and exogenous learning that determine technology development., type: driver)
- Timber demand (Demand for roundwood and pulpwood per region., type: driver)
- Trade restriction (Trade tariffs and barriers limiting trade in energy carriers (in energy submodel)., type: driver)