Browse data: Variable
Jump to navigation
Jump to search
Is input for:
Is output of: (Click arrow to add another value)
- Choose a category:
- Application (39)
Click on one or more items below to narrow your results.
Is input for: Is output of: (Click arrow to add another value) Showing below up to 19 results in range #1 to #19.
- 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))
- Crop irrigation water demand - grid (Water requirements for crop irrigation, calculated as daily moisture deficit during the growing season., type: model (from/to model))
- Environmental flow requirements - grid (Percentage of natural flow reserved for the environment. Determined according to the Variable Monthly Flow method developed in Pastor et al., 2014, type: model (end-indicator))
- Expected nr of affected people - grid (Population expected to be exposed to floods per year., type: model (end-indicator))
- Expected value of affected GDP - grid (GDP expected to be exposed to floods per year., type: model (end-indicator))
- 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))
- Irrigation water withdrawal - grid (Water withdrawn for irrigation, not necessarily equal to the withdrawal demand, because of limited water availability in rivers, lakes, reservoirs and other sources., type: model (from/to model))
- Number of people at risk of severe water stress - grid (Basins with ratios above 0.4 are considered to be severely water stressed. Using the projected population in each grid cell, the number of people at severe risk of water stress is determined, type: model (end-indicator))
- 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))
- Rainwater consumption - grid (Rain water consumption by crops., type: model (end-indicator))
- River discharge - grid (Average flow of water through each grid cell., type: model (from/to model))
- Statistics of inundation extent - grid (Annual statistics of flooded fraction per grid cell., type: model (end-indicator))
- Statistics on inundation depth - grid (Annual statistics of water depth in flooded areas of a grid cell., type: model (from/to model))
- Statistics on river discharge - grid (Annual statistics on river discharge., type: model (end-indicator))
- Transgression of environmental flows - grid (Deficit on environmental flow requirements, based on monthly discharge values, type: model (end-indicator))
- Water consumption other sectors - grid (Total annual and monthly water consumption for households, industry and electricity. Consumption is defined as the total withdrawals minus the return flows, type: model (end-indicator))
- Water stress - basin (Water stress is a basin scale indicator of the mean annual water demand to availability ratio. This ratio gives an indication for the level of water stress experienced in the basin., type: model (end-indicator))
- Water withdrawal other sectors - grid (Total annual and monthly water withdrawal for households, industry and electricity. Not necessarily equal to the withdrawal demand, due to limited water availability., type: model (from/to model))