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Prediction and predictability of hydrological extreme events in the region Berlin-Brandenburg for risk assessment in the joint project SpreeWasser:N

Authors

Hauke,  Clara
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Ulbrich,  Uwe
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Rust,  Henning
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Citation

Hauke, C., Ulbrich, U., Rust, H. (2023): Prediction and predictability of hydrological extreme events in the region Berlin-Brandenburg for risk assessment in the joint project SpreeWasser:N, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-4083


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021523
Abstract
An outline of the joint project SpreeWasser:N is given, showcasing the strategies developed to gain a better understanding of the water cycle and associated hydrological extremes in the region Berlin-Brandenburg and create action plans to reduce related future risks. SpreeWasser:N aims at the adaption to hydrological extreme events in the region Berlin-Brandenburg through drought management, integrated water resources management and improved water storage systems. The goal is to develop long-term concepts together with water users and policy makers to pave the way for a sustainable and interdisciplinary water resource management course.The predictability of such events is assessed on time scales ranging from near-term to decadal and predictors acting as potential indicators of imminent risk are inferred from statistical analyses, modelling and literature. Climate projections for Brandenburg provide a bigger picture of how climate variables will shift in the future and how this will affect the hydrological balance in the region. Ensemble methods are a helpful tool to assist in some of these tasks, including estimating uncertainties for forecasts and projections. In conjunction with the project's joint partners drought warning systems and adaptation strategies are developed. Downscaling methods are used in convection-permitting models to provide data which can be used in hydrological models to improve the forecast of hydrological impacts.