- Spatially refine global seasonal forecasts and global retrospective forecasts using dynamic and statistical processes
- Model ecosystems and hydrosystems
- Conduct satellite-based monitoring of key hydrological parameters in near real-time
- Develop and transfer into practice an online tool for visualising and further analysing the project results as decision-support for water management
While arid regions often have to secure water supplies by desalinating seawater or extracting fossil groundwater, semi-arid regions can usually achieve a lot with sustainable and scientifically sound water resources management. However, estimating the current and future availability of water resources in these areas is usually linked to very high levels of uncertainty. Despite the need for high-quality information on precipitation and water resources, we are seeing a clear decline in the number of in-situ monitoring stations around the world. Planners and decision-makers therefore increasingly hope that globally available and regionalised remote-sensing and model-based data can help improve water management in the future. Seasonal forecasts of water availability are also a key focus. While climate researchers have been trying for many years to draw conclusions about climate conditions and long-term average water resources (e.g. RCP scenarios up to 2100), knowledge about the coming season is of much greater importance for practical reservoir governance and irrigation agriculture.
More information about the joint research project is available here