Project start: 01.09.2022

Duration: 28 Monate

Funding: BMBF

Lead: Harald Kunstmann

Involved scientists: Maximilian Graf, Christian Chwala (KIT, Campus Alpin)

Project partners
    Sächsisches Landesamt für Umwelt, Landwirtschaft und Geologie, Dresden (Verbundkoordinator)

    Deutscher Wetterdienst, Offenbach
    Technische Universität Dresden
    Universität Augsburg

    Pikobytes, Dresden
Associated partners

    Landestalsperrenverwaltung Sachsen

    Landesbetrieb Straßen, Brücken und Gewässer Hamburg

    Landesamt für Umwelt Bayern, Hochwassernachrichtendienst

    Landesamt für Umwelt Rheinland-Pfalz, Hochwassermeldedienst

    Landesamt für Umwelt, Bergbau und Naturschutz des Freistaats Thüringen

    Ericsson GmbH, Hamburg



The goal of this project is to develop a demonstrator for an "information platform on meteorological-hydrological forecasts and warnings in small catchments" that also evaluates and communicates the uncertainties in the forecasts of precipitation and runoff. The demonstrator links a scalable hydrologic ensemble forecasting system with user-specific visualization and analysis in a web-based dashboard. Furthermore, modules for education and training of users in the use of probability-based warnings and forecasts are planned. In doing so, it integrates novel methods of precipitation estimation using commercial microwave links (CMLs) with a radar multisensor calibration and ensemble-based precipitation forecasts to achieve seamless forecasts with shorter update cycles for the short-term range for flash floods. The demonstrator will undergo extensive, multi-stage validation and demonstration to best support iterative, user-driven development. This will be done in close cooperation with the associated partners for different regions in Germany.

The starting point of the proposed project is the joint project HoWa-innovativ "Early flood warning for small catchments with innovative methods of precipitation measurement and prediction". The solutions developed in HoWa-innovativ, the radar CML adjustment and the web-based demonstrator for early flood warning, show the current state of research. However, for a transfer into practice, further progress in research and development has to be achieved, especially in the fields of radar CML adjustment, the prediction of small-scale heavy rain events and flash floods, the robustness of the data flows as well as the user-specific result communication and system validation.