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