1 Department of Environmental Engineering, Technical University of Denmark2 Urban Water Engineering, Department of Environmental Engineering, Technical University of Denmark3 German Research Centre for Geosciences4 University of Amsterdam5 National Research Council of Italy6 Deutscher Wetterdienst7 University of Toronto8 Vienna University of Technology9 Deltares10 University of Rome11 University of Potsdam12 Technische Universität Braunschweig13 National University of Ireland14 University of Arizona15 Newcastle University16 Munich Re17 Chonbuk National University18 Columbia University19 Helmholtz Centre for Environmental Research20 Freie Universität Berlin21 Vrije Universiteit Amsterdam22 University of Freiburg23 University of Savoy24 University of Toronto25 Deltares26 University of Arizona27 Chonbuk National University28 Columbia University
Flood estimation and flood management have traditionally been the domain of hydrologists, water resources engineers and statisticians, and disciplinary approaches abound. Dominant views have been shaped; one example is the catchment perspective: floods are formed and influenced by the interaction of local, catchment-specific characteristics, such as meteorology, topography and geology. These traditional views have been beneficial, but they have a narrow framing. In this paper we contrast traditional views with broader perspectives that are emerging from an improved understanding of the climatic context of floods. We come to the following conclusions: (1) extending the traditional system boundaries (local catchment, recent decades, hydrological/hydraulic processes) opens up exciting possibilities for better understanding and improved tools for flood risk assessment and management. (2) Statistical approaches in flood estimation need to be complemented by the search for the causal mechanisms and dominant processes in the atmosphere, catchment and river system that leave their fingerprints on flood characteristics. (3) Natural climate variability leads to time-varying flood characteristics, and this variation may be partially quantifiable and predictable, with the perspective of dynamic, climate-informed flood risk management. (4) Efforts are needed to fully account for factors that contribute to changes in all three risk components (hazard, exposure, vulnerability) and to better understand the interactions between society and floods. (5) Given the global scale and societal importance, we call for the organization of an international multidisciplinary collaboration and data-sharing initiative to further understand the links between climate and flooding and to advance flood research.
Natural Hazards and Earth System Sciences, 2014, Vol 14, Issue 7, p. 1921-1942