Extreme weather and climate events and their impacts can occur in complex combinations,
an interaction shaped by physical drivers and societal forces. In these situations …

There is increasing interest in long-term plans that can adapt to changing situations under
conditions of deep uncertainty. We argue that a sustainable plan should not only achieve …

A new paradigm for planning under conditions of deep uncertainty has emerged in the
literature. According to this paradigm, a planner should create a strategic vision of the future …

Water systems planners have long recognized the need for robust solutions capable of
withstanding deviations from the conditions for which they were designed. Robustness …

This paper presents a short history of water resources systems analysis from its beginnings
in the Harvard Water Program, through its continuing evolution toward a general field of …

This paper introduces many objective robust decision making (MORDM). MORDM combines
concepts and methods from many objective evolutionary optimization and robust decision …

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 …

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 …

A variety of model-based approaches for supporting decision-making under deep
uncertainty have been suggested, but they are rarely compared and contrasted. In this …

In this paper, we review the need for, use of, and demands on climate modeling to support
so‐called 'robust'decision frameworks, in the context of improving the contribution of climate …