Browse data: Variable
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Is input for: (Click arrow to add another value) Is output of: (Click arrow to add another value) Showing below up to 15 results in range #1 to #15.
- 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 concentration (Atmospheric CO2 concentration., type: model (from/to model))
- CO2 emission from energy and industry (CO2 emission from energy and industry., 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)
- 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))
- Marginal abatement cost (Cost of an additional unit of pollution abated (CO2eq). A marginal abatement cost curve (MAC curve) is a set of options available to an economy to reduce pollution, ranked from the lowest to highest additional costs., 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)
- Precipitation - grid (Monthly total precipitation., type: model (from/to model))
- SO2 emissions (SO2 emissions, per source (e.g. fossil fuel burning, deforestation)., type: model (from/to model))
- Temperature - grid (Monthly average temperature., type: model (from/to model))