Browse data: Variable

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Showing below up to 26 results in range #1 to #26.

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  • Actual crop and grass production - grid (Actual crop and grass production on agricultural land, based on potential yield and management intensity, type: model (from/to model))
  • Air pollution policy (Air pollution policies set to reach emission reduction targets, represented in the model in the form of energy carrier and sector specific emission factors., type: driver)
  • Animal stocks (Number of animals per category: non-dairy cattle; dairy cattle; pigs; sheep and goats; poultry., type: model (from/to model))
  • 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 price (Carbon price on the international trading market (in USD in 2005 per tonne C-eq) calculated from aggregated regional permit demand and supply curves derived from marginal abatement costs., 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)
  • Demand for electricity, heat and hydrogen (The demand for production of electricity, heat and hydrogen., type: model (from/to model))
  • Energy policy (Policy to achieve energy system objectives, such as energy security and energy access., type: driver)
  • Fertiliser use efficiency (Ratio of fertiliser uptake by a crop to fertiliser applied., type: driver)
  • GDP per capita - grid (Scaled down GDP per capita from country to grid level, based on population density., 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-use CO2 emissions - grid (Land-use CO2 emissions from deforestation, wood harvest, agricultural harvest, bioenergy plantations and timber decay., type: model (from/to model))
  • Livestock rations (Determines the feed requirements per feed type (food crops; crop residues; grass and fodder; animal products; scavenging), specified per animal type and production system (extensive/intensive/backyard/intermediate/intensive/broiler/laying hens)., type: driver)
  • Manure spreading fraction (Fraction of manure produced in staples that is spread on agricultural areas., 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))
  • Nitrogen deposition - grid (Deposition of nitrogen., 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)
  • Population - grid (Number of people per gridcell (using downscaling)., type: driver)
  • Primary energy price (The price of primary energy carriers based on production costs., type: model (from/to model))
  • Production system mix (Livestock production is distributed over two systems for dairy and beef production (intensive: mixed and industrial; extensive: pastoral grazing), and to three systems for pigs (backyard, intermediate, intensive) and poultry (backyard, boilers, laying hens) with specific intensities, rations and feed conversion ratios., type: driver)
  • SO2 emissions (SO2 emissions, per source (e.g. fossil fuel burning, deforestation)., type: model (from/to model))
  • Technology development of energy conversion (Learning curves and exogenous learning that determine technology development., type: driver)

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