Browse data: Variable
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- Application (39)
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Is input for: Aquatic biodiversity (1) · Atmospheric composition and climate (2) · Carbon cycle and natural vegetation (5) · Crops and grass (5) · Ecosystem services (6) · Flood risks (2) · Human development (2) · Land-use allocation (1) · Land cover and land use (2) · Land degradation (3) · Terrestrial biodiversity (1) · Water (2)
Is output of: (Click arrow to add another value) Showing below up to 20 results in range #1 to #20.
- Algal blooms in lakes (Harmful algal blooms in lakes caused by cyanobacteria, producing toxins harmful to humans and animals., type: model (end-indicator))
- Aquatic MSA - grid (Relative Mean Species Abundance of original species in lakes, rivers and wetlands., type: model (end-indicator))
- 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)
- 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))
- 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))
- Irrigation water withdrawal - grid (Water withdrawn for irrigation, not necessarily equal to the withdrawal demand, because of limited water availability in rivers, lakes, reservoirs and other sources., type: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))
- Non-CO2 GHG concentrations (Atmospheric concentration of non-CO2 greenhouse gases., type: model (end-indicator))
- 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))
- 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))
- Precipitation - grid (Monthly total precipitation., type: model (from/to model))
- Radiative forcing (Radiative forcing of greenhouse gases, ozone, and aerosols., type: model (end-indicator))
- River discharge - grid (Average flow of water through each grid cell., type: model (from/to model))
- Temperature - grid (Monthly average temperature., type: model (from/to model))
- 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))