| Summary: | Unprecedented weather extremes and regional climate change have added stress to de- grading infrastructures, increased failures in interdependent lifeline infrastructures and reduced the capacity of ecosystems to protect coastlines or cities and recover from biodiversity losses (stressed systems). The challenges in coupled system-of-systems, which are comprised of the stressors (cli- mate and extreme weather), stressed systems, and impacted systems (human and social
dimensions), are two-fold: correlated and unprecedented extremes on highly interconnected systems as well as non-stationarity and deep uncertainty in the systems. While it is often assumed that systems intrinsic resilience is agnostic to hazards and only depends on failure modes, we argue that early integration of resilience into systems design should be supplemented by systematic recovery strategies which are specific to the nature and magnitude of the hazard. Hence, understanding the
impact and un- certainty of specific hazards on engineered and natural systems is pivotal to inform these strategies. Moreover, under climate change, risks from natural hazard such as hydroclimate extremes including flooding, intense precipitation, and droughts are expected to intensify. While General Circulation Models (GCMs) provide us with the data to study changes in mean and extreme characteristics of various hazards, these models often suffer from uncertainties arising from
sensitivity to initial con- ditions, knowledge gaps in future emission trajectories and in the physical science basis. Hence, it is crucial to incorporate, quantify and even reduce these uncertainties to inform adaptation-relevant indices. In this work, we present a network science and optimization-based approaches to quantify systematic recovery strategies for critical infrastructure systems perturbed by man-made and natural threats. To address uncertainties due to natural variability,
an approach to reduce the uncertainty in return periods of 21st century precipitation extremes is presented.
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