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This report introduces a Flood risk Reduction Evaluation and Screening (FLORES)-model. FLORES is specifically aimed at providing useful input early in the decision-making process by quickly screening multiple flood risk management measures and their combinations under uncertainty and identify promising combinations of measures and develop them into robust strategies for flood risk management. The FLORES–model evaluates the capacity of numerous flood risk reduction strategies to reduce the impact of climate change and sea level rise scenarios for flood-prone coastal cities. 

The report also contains a case study of the implementation of the FLORES model in Beira, Mozambique.