Simulation models of multi‐sector systems are increasingly used to understand societal
resilience to climate and economic shocks and change. However, multi‐sector systems are …

As climate change alters flood risk, there is a need to project changes in flooding for water
resource management, infrastructure design and planning. The use of observed …

Urban infrastructure traditionally relies on stationary rainfall intensity-duration-frequency
(IDF) curves. However, this assumption is challenged by climate change and urbanization …

Vulnerability‐based frameworks are increasingly used to better understand water system
performance under climate change. This work advances the use of stochastic weather …

Concerns about climate change are amplifying interest in future rainfall extremes. However,
there are big differences between the statistics of rainfall extremes obtained using future …

The US Midwest is an area that has been plagued by heavy and persistent precipitation
leading to frequent flood events. The improved understanding of the types of weather …

Floods in the US exhibit strong spatiotemporal variability, mainly controlled by precipitation
types and catchment attributes. In a future warmer climate, it remains largely unclear how …

We present a novel non-stationary regional weather generator (nsRWG) based on an auto-
regressive process and marginal distributions conditioned on climate variables. We use …

The evaluation of water systems based on historical statistics is problematic when shifts in
the hydrologic system occur due to a changing climate. An explicit link to thermodynamic …

It is now standard practice for water supply agencies to use stochastic models to generate
synthetic hydroclimate sequences that preserve the key statistics contained in the …