Water

The Water Availability Dashboard lets you explore and compare key water-related indicators through interactive maps and charts, with the option to filter results by threshold over different indexes, scenario and time frame. Clicking on a region in the map takes you to the Regional Dashboard, where you can access detailed insights for that specific region.
 

The following water-related indicators are included:

• Water Exploitation Index Plus (WEI+) [%] – yearly average. This index measures the percentage ratio between total water consumption for domestic, agricultural, and industrial uses to the available water resources.
• Aridity Index (AI) [-] – yearly average. This climate classification index measures the ratio of precipitation to potential evapotranspiration, indicating the degree of dryness of a region.
• Standardized Precipitation Index (SPI-12) [months per year] – yearly average. This index is based on 12-month cumulative precipitation and identifies long-term drought and water surplus conditions, normalized to local historical climatology. The two aggregations report the average number of very dry months (SPI-12 < −1.5) and very wet months (SPI-12 > 1.5) over the selected time period.

Temporal time frames considered:

• current scenario, corresponding to the most recent period for which data are available from the selected sources (2000–2019).
• reference future scenario, corresponding to the SSP3-7.0 defined in the IPCC Sixth Assessment Report. It represents a “regional rivalry” pathway characterized by fragmented governance, limited international cooperation, and slow technological diffusion. Emissions remain high throughout the century, making this scenario broadly consistent with a continuation of current policy trends and close to a business-as-usual trajectory.
• pessimistic future scenario, corresponding to the SSP5-8.5 defined in the IPCC Sixth Assessment Report. It represents a fossil-fuel-driven development pathway with very high energy demand and minimal mitigation efforts, and is commonly used as a worst-case or high-end reference scenario to explore upper-bound climate risks.