Browse data: Variable
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- Application (39)
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Is input for: Agricultural economy (1) · Atmospheric composition and climate (2) · Carbon cycle and natural vegetation (5) · Crops and grass (5) · Ecosystem services (5) · Energy supply (1) · Flood risks (2) · Human development (2) · Land-use allocation (1) · Land degradation (3) · Nutrients (1) · Terrestrial biodiversity (1) · Water (3)
Is output of: (Click arrow to add another value) Showing below up to 15 results in range #1 to #15.
- 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))
- CO2 concentration (Atmospheric CO2 concentration., type: model (from/to model))
- Cloudiness - grid (Percentage of cloudiness per month; assumed constant after the historical period, type: historical data)
- Crop irrigation water demand - grid (Water requirements for crop irrigation, calculated as daily moisture deficit during the growing season., type: model (from/to model))
- Global mean temperature (Average global temperature., type: model (from/to model))
- Irrigation water consumption - grid (Water consumed through irrigation; equal to irrigation water withdrawal minus water lost during transport, depending on the conveyance efficiency., type: model (end-indicator))
- Non-CO2 GHG concentrations (Atmospheric concentration of non-CO2 greenhouse gases., type: model (end-indicator))
- 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))
- Potential crop and grass yield - grid (Potential crop and grass yield, changing over time due to climate change and possibly soil degradation. In some components, i.e. 'Agricultural economy' regional aggregations of the dataset which depend on the actual land-use area, are used., type: model (from/to model))
- Precipitation - grid (Monthly total precipitation., type: model (from/to model))
- Radiative forcing (Radiative forcing of greenhouse gases, ozone, and aerosols., type: model (end-indicator))
- Rainwater consumption - grid (Rain water consumption by crops., type: model (end-indicator))
- Temperature - grid (Monthly average temperature., type: model (from/to model))