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 …

Sensitivity analysis (SA) has been used to evaluate the behavior and quality of
environmental models by estimating the contributions of potential uncertainty sources to …

In fields where predictions may have vital consequences, uncertainty quantification (UQ)
plays a crucial role, as it enables more accurate forecasts and mitigates the potential risks …

Bioretention cell (BC) design variation significantly changes its hydrological dynamics at unit-
scale leading to major changes in its target design goals when designed unit replicated at …

Quantifying reservoir water balance is an essential process for the efficient management of
water resources. Water level records are often the only data available for reservoir analysis …

Sensitivity analysis helps identify which model inputs convey the most uncertainty to the
model output. One of the most authoritative measures in global sensitivity analysis is the …

VARS-TOOL is a software toolbox for sensitivity and uncertainty analysis. Developed
primarily around the “Variogram Analysis of Response Surfaces” framework, VARS-TOOL …

This paper investigates the problem of global sensitivity analysis (GSA) of Dynamical Earth
System Models and proposes a basis for how such analyses should be performed. We …

Cold regions provide water resources for half the global population yet face rapid change.
Their hydrology is dominated by snow, ice and frozen soils, and climate warming is having …

In this work, a data-driven technique is proposed for efficient design exploration and
optimisation of the Kaplan turbine. To avoid the curse of dimensionality, the proposed …