Renewable sources of electricity, such as solar and wind, need to be paired with sources of
reliable baseload. Hydropower is a renewable, low‐emission source of electricity baseload …

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 …

Sensitivity analysis (SA) is en route to becoming an integral part of mathematical modeling.
The tremendous potential benefits of SA are, however, yet to be fully realized, both for …

Traditional, mainstream definitions of drought describe it as deficit in water‐related variables
or water‐dependent activities (eg, precipitation, soil moisture, surface and groundwater …

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 …

Emerging interdisciplinary science efforts are providing new understanding of the
interdependence of food, energy, and water (FEW) systems. These science advances, in …

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 …

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

Abstract Models for supporting climate adaptation and mitigation planning, mostly in the form
of Integrated Assessment Models, are poorly equipped for aiding questions related to …

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 …