Browse data: Variable
Jump to navigation
Jump to search
Is input for: (Click arrow to add another value)
- Choose a category:
- Application (39)
Variable
> Is input for 
: Atmospheric composition and climate or Energy conversion or Terrestrial biodiversity
: Atmospheric composition and climate or Energy conversion or Terrestrial biodiversity
Click on one or more items below to narrow your results.
Is input for: (Click arrow to add another value) Showing below up to 22 results in range #1 to #22.
- 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)
- 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)
- Global mean temperature (Average global temperature., 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-use CO2 emissions - grid (Land-use CO2 emissions from deforestation, wood harvest, agricultural harvest, bioenergy plantations and timber decay., 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))
- 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)
- Primary energy price (The price of primary energy carriers based on production costs., type: model (from/to model))
- Protected area - grid (Map of protected nature areas, limiting use of this area., 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)