Items where Author / Artist / Editor is "Schröter, Kai"

Article

Sairam, Nivedita, Schröter, Kai, Steinhausen, Max J. ORCID: https://orcid.org/0000-0002-8692-8824 and Kreibich, Heidi (2022) Capturing regional differences in flood vulnerability improves flood loss estimation. Frontiers in Water, 4 , 817625. ISSN 2624-9375 [Article] (doi:10.3389/frwa.2022.817625)

Sairam, Nivedita, Schröter, Kai, Carisi, Francesca, Wagenaar, Dennis, Domeneghetti, Alessio, Molinari, Daniela, Brill, Fabio, Priest, Sally J. ORCID: https://orcid.org/0000-0003-2304-1502, Viavattene, Christophe ORCID: https://orcid.org/0000-0002-4358-5411, Merz, Bruno and Kreibich, Heidi (2020) Bayesian Data-Driven approach enhances synthetic flood loss models. Environmental Modelling and Software, 132 , 104798. ISSN 1364-8152 [Article] (doi:10.1016/j.envsoft.2020.104798)

Steinhausen, Max J. ORCID: https://orcid.org/0000-0002-8692-8824, Lüdtke, Stefan, Schröter, Kai, Figueiredo, Rui and Kreibich, Heidi (2020) The probabilistic flood damage model for residential buildings – BN-FLEMOps [en] Das probabilistische Hochwasserschadensmodell für Wohngebäude – BN-FLEMOps [de]. Hydrologie und Wasserbewirtschaftung, 64 (4) . pp. 188-199. [Article] (doi:10.5675/HYWA_2020.4_2)

Lüdtke, Stefan, Schröter, Kai, Steinhausen, Max J. ORCID: https://orcid.org/0000-0002-8692-8824, Weise, Laura, Figueiredo, Rui and Kreibich, Heidi (2019) A consistent approach for probabilistic residential flood loss modeling in Europe. Water Resources Research, 55 (12) . pp. 10616-10635. ISSN 0043-1397 [Article] (doi:10.1029/2019WR026213)

Vorogushyn, Sergiy, Bates, Paul D., de Bruijn, Karin, Castellarin, Attilio, Kreibich, Heidi, Priest, Sally J. ORCID: https://orcid.org/0000-0003-2304-1502, Schröter, Kai, Bagli, Stefano, Blöschl, Günter, Domeneghetti, Alessio, Gouldby, Ben, Klijn, Frans, Lammersen, Rita, Neal, Jeffrey C., Ridder, Nina, Terink, Wilco, Viavattene, Christophe ORCID: https://orcid.org/0000-0002-4358-5411, Viglione, Alberto, Zanardo, Stefano and Merz, Bruno (2018) Evolutionary leap in large-scale flood risk assessment needed. WIREs Water, 5 (2) . e1266. ISSN 2049-1948 [Article] (doi:10.1002/wat2.1266)