In water resources applications (eg, streamflow, rainfall‐runoff, urban water demand [UWD],
etc.), ensemble member selection and ensemble member weighting are two difficult yet …

As population growth, economic development, and climate change increase the risks of
inland flooding across the US and worldwide, a range of flood mitigation approaches must …

Flood-damage models allow decision-makers to estimate potential flood impacts, yet they
continue to face critical challenges that affect their accuracy. This review identifies and …

Streamflow forecasting is prone to substantial uncertainty due to errors in meteorological
forecasts, hydrological model structure, and parameterization, as well as in the observed …

Managing water resources in a complex adaptive natural–human system is a challenge due
to the difficulty of modeling human behavior under uncertain risk perception. The interaction …

Forecast-based actions are increasingly receiving attention in flood risk management.
However, uncertainties and constraints in forecast skill highlight the need to carefully assess …

With the increasing proportion of renewable energy in power systems, the use of
probabilistic forecasts to provide uncertainty information for future decision analyses is …

The last decade has seen a major innovation within disaster risk management through the
emergence of standardized forecast-based action and financing protocols. Given sufficient …

The development and deployment of new operational runoff forecasting systems are a
strong focus of the scientific community due to the crucial importance of reliable and timely …

The scientific literature has many methods for estimating uncertainty, however, there is a
lack of information about the characteristics, merits, and limitations of the individual methods …