Hydrodynamic models are useful tools for urban water management. Unfortunately, it is still
challenging to obtain accurate results and plausible uncertainty estimates when using these …

Storm wave run-up causes beach erosion, wave overtop**, and street flooding. Extreme
runup estimates may be improved, relative to predictions from general empirical formulae …

An enhanced understanding of the mechanisms responsible for wind turbine blade leading-
edge erosion (LEE) and advancing technology readiness level (TRL) solutions for …

In this article, we develop a Bayesian framework for parameter estimation of a
computationally expensive dynamic epidemic model using time series epidemic data …

Physically-based river water quality models are valuable tools for river basin management
and planning. However, their long computational times pose many difficulties for …

Probabilistic flood hazard assessment is a promising methodology for estuarine risk
assessment but currently remains limited by prohibitively long simulation times. This study …

Background The aim of the present paper is to construct an emulator of a complex biological
system simulator using a machine learning approach. More specifically, the simulator is a …

Abstract System identification, sensitivity analysis, optimization and control, require a large
number of model evaluations. Accurate simulators are too slow for these applications. Fast …

The problem of calibrating computer models that produce multivariate output is considered,
with a particular emphasis on the situation where the model is computationally demanding …

A recent hydrological impacts study in British Columbia, Canada, used an ensemble of 23
climate change simulations to assess potential future changes in streamflow. These …