Seasonal Water Resources Management:
Regionalized Global Data and Transfer to Practise
It is expected that until 2025 approximately 1.8 billion people will suffice from absolute water scarcity. In order to deal with this projected development, scientists and decision makers rely their planning more and more on global hydrometeorological remote-sensing- or model-systems as the number of in situ gauges is significantly decreasing. The major task of SaWaM is therefore the development of methods and tools for the practice transfer of regionalized global data for water resources management. The performance of the developed products will be evaluated over selected semi-arid regions. Special focus is on the seasonal prediction of water availability, the state of the eco-system, and the modelling of sediment flow. This will be achieved through an integrative approach between climate-, hydrological-, and ecosystem sciences together with remote-sensing based methods and data. The practice application of the developed products will be analysed within a consortium of seven universities and research institutes, two internationally active German business partners as well as several regional decision makers. The full model- and information chain will be analysed for three dedicated development regions (Sudan, Northeast-Brazil and Iran) while selected features will be further evaluated over two perspective regions (Ecuador, West- Africa). In the end, the superordinate product from SaWaM will be an industry mature online prototype, which allows to examine and apply all developed products – from the methods and data to the seasonal predictions for water resources management.