Climate change introduces substantial uncertainty to water resources planning and raises
the key question: when, or under what conditions, should adaptation occur? A number of …

The state of the art for optimal water reservoir operations is rapidly evolving, driven by
emerging societal challenges. Changing values for balancing environmental resources …

A highly uncertain future due to changes in climate, technology and socio-economics has
led to the realisation that identification of “best-guess” future conditions might no longer be …

Robust decision making (RDM) Page 35 Chapter 2 Robust Decision Making (RDM) RJ Lempert
Abstract • The quest for predictions—and a reliance on the analytical methods that require …

Robustness is being used increasingly for decision analysis in relation to deep uncertainty
and many metrics have been proposed for its quantification. Recent studies have shown that …

There is a growing interest in model-based decision support under deep uncertainty,
reflected in a variety of approaches being put forward in the literature. A key idea shared …

Modeling is a crucial approach for understanding the past and exploring the future of
coupled human-natural systems. However, uncertainty in various forms challenges …

A wide variety of tools and approaches for supporting the making of decisions under deep
uncertainty have been put forward, but we lack a comparative overview.• This chapter …

Globally, the pressures of expanding populations, climate change, and increased energy
demands are motivating significant investments in re-operationalizing existing reservoirs or …

Risk‐based water resources planning is based on the premise that water managers should
invest up to the point where the marginal benefit of risk reduction equals the marginal cost of …