2025

• Khosh Bin Ghomash, S., Apel, H., Schröter, K., & Steinhausen, M. (2025). Rapid high-resolution impact-based flood early warning is possible with RIM2D: A showcase for the 2023 pluvial flood in Braunschweig. Natural Hazards and Earth System Sciences, 25(5), 1737–1749. https://doi.org/10.5194/nhess-25-1737-2025

• Cumiskey, Lydia, Janne Parviainen, Sukaina Bharwani, Natascha Ng, Stefano Bagli, Martin Drews, Christopher Genillard, Dominik Hedderich, Stefan Hochrainer-Stigler, Benjamin Hofbauer, Levente Huszti, Chahan M. Kropf, Jana Löhrlein, Arnau Macià Pou, Paolo Mazzoli, Jacob Pedersen, Angela Rosa, Pia-Johanna Schweizer, Max Steinhausen, Julian Struck, and Victor Wattin Håkansson. 2025. ‘Capacity Development for Locally-Led Knowledge Co-Production Processes in Real World Labs for Managing Climate and Disaster Risk’. International Journal of Disaster Risk Reduction 125:105398. doi:10.1016/j.ijdrr.2025.105398.

• Hakim, A. M. Y., Santosa, B. H., Martono, D. N., Sencaki, D. B., Prayogi, H., Arifandri, R., Apip, A., Ningrum, W., Schröter, K., & Steinhausen, M. J. (2025). Exploring land cover change impacts on ecosystem services using machine learning technique and scenario simulation: Case study of the Upper Citarum River Basin, Indonesia. Modeling Earth Systems and Environment, 11(3), 211. https://doi.org/10.1007/s40808-025-02352-9
• Kreibich, H., Sivapalan, M., AghaKouchak, A., Addor, N., Aksoy, H., Arheimer, B., …, Schröter, K., ... Blöschl, G. (2025). Panta Rhei: a decade of progress in research on change in hydrology and society. Hydrological Sciences Journal, 1–27. doi.org/10.1080/02626667.2025.2469762

Konferenzbeiträge

• Han, L., Merz, B., Nguyen, V. D., Guse, B., Samaniego, L., Schröter, K., and Vorogushyn, S.: Floods we could have faced: exploring exceptional flooding using perfect storm concept, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-8953, doi.org/10.5194/egusphere-egu25-8953, 2025.
• Müller, H., Hempel, M., Heger, J., and Schröter, K.: Integrated modelling and control optimization for adaptive drainage management in coastal lowlands, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-5151, doi.org/10.5194/egusphere-egu25-5151, 2025.
• Bertoli, G., Schröter, K., Arcucci, R., and Caporali, E.: Exploring watershed similarities through machine learning and watershed descriptors: enhancing hydrological predictions, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-17403, doi.org/10.5194/egusphere-egu25-17403, 2025.