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LINUX Cluster Project
Arbeiten der Uni Augsburg am LRZ
- Name: Universität Augsburg;Rechenzentrum
- Address: Universitätsstraße 9, 86159 Augsburg
- Project Proposal Date: 2018-10-05 21:05:15
Seasonal predictions of hydrometeorological variables for water resources management have become popular in recent years [7, 13, 15, 14, 2, 10]. In the past, water management and drought forecasts were mainly based on statistical predictions . In recent years, however, decision makers tend to increasingly consider seasonal forecast products offered by the leading weather services and meteorological forecast centers. The European Center for Medium-Range Weather Forecasts (ECMWF) advertises its latest version of seasonal forecast system (SEAS5) launched in November 2017 with best horizontal resolution among all available global seasonal forecast systems. It further provides better realization of large-scale climate teleconnections, improved atmosphere-ocean-sea-ice coupling and better land initialization compared to earlier versions (e. g., S4). The resulting increased skill of the seasonal forecast system even more encourages the use of seasonal forecasts. Especially in semiarid regions, improved knowledge of the coming rainy season can be the basis of sustain- able water management. On subseasonal to seasonal timescales, decision makers have to plan in advance for water allocation during drought, manage reservoir levels for flood control and manage irrigation. However, also the 35 km horizontal resolution of the global seasonal forecasts of ECMWF Integrated Forecast System's (IFS) SEAS5 is not suited for the use for water management in individual river basins. Therefore, the SaWaM (Seasonal Water Resources Management for Semiarid Regions) project and the therein embedded doctoral research address the hydrometeorological applicability of global seasonal fore- casts and their regionalization to semiarid river catchments in Iran, Sudan, Northeast Brazil, West Africa and Ecuador. 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