The data entails a set of indicators for assessing climate risks and impacts on integrated water resources systems. This first tier is a set of indicators that are directly derived from readily available datasets from e.g. the Copernicus Climate Data Store.

historical time series of common climate indices (e.g. ENSO)

Precipitation deficit is a common measure for severity of agricultural drought, for example in the Netherlands, but it is also used internationally (Narasimhan, 2005). The precipitation deficit addresses the need for drought monitoring, which was expressed by several river basins, including the Drammen, East Anglia and Danube (Hegdahl, 2023).

This dataset provides water variables and indicators based on hydrological impact modelling, forced by bias adjusted regional climate simulations from the European Coordinated Regional Climate Downscaling Experiment (EURO-CORDEX). The dataset contains Essential Climate Variable (ECV) data in the form of daily mean river discharge and a set of climate impact indicators (CIIs) for both water quantity and quality. ECV datasets provide the empirical evidence needed to understand the current climate and predict future changes. CIIs contain condensed climate information which facilitate relatively quick and efficient subsequent analysis. Therefore, CIIs make climate information accessible to application focussed users within a sector. The ECVs and CIIs provided here were derived within the water management sectoral information service to address questions specific to the water sector. However, the products are provided in a generic form and are relevant for a range of sectors, for example agriculture and energy.

The STARS4Water project generates sets of indicators for assessing climate risks and impacts on integrated water resources system. The first tier is directly derived from global datasets with only limited post-processing.