Models with high-dimensional parameter spaces are common in many
applica...
Riverine floods pose a considerable risk to many communities. Improving ...
There is an increasingly urgent need to develop knowledge and practices ...
Statistical flood frequency analysis coupled with hydrograph scaling is
...
Current approaches to design flood-sensitive infrastructure typically as...
Understanding flood probabilities is essential to making sound decisions...
Flood-related risks to people and property are expected to increase in t...
Homeowners around the world elevate houses to manage flood risks. Decidi...
Projections of future temperature are critical for developing sound
stra...
Understanding how reducing carbon dioxide (CO2) emissions impacts climat...
We consider the scientifically challenging and policy-relevant task of
u...
Agent-based models (ABMs) are widely used to gain insights into the dyna...