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Decisions on how to manage future flood risks are frequently informed by bothsophisticated and computationally expensive models. This complexity oftenlimits the representation of uncertainties and the consideration of strategies.Here, we use an intermediate complexity model framework that enables us toanalyze a rich set of strategies, objectives, and uncertainties. We find thatallowing for more combinations of risk mitigation strategies can expand thesolution set, help explain synergies and trade-offs, and point to strategiesthat can improve outcomes.

Trade-offs and synergies in managing coastal flood risk: A case study for New York City