Sensitivity Analysis (SA) investigates how the variation in the output of a numerical model
can be attributed to variations of its input factors. SA is increasingly being used in …

Sensitivity analysis (SA) aims to identify the key parameters that affect model performance
and it plays important roles in model parameterization, calibration, optimization, and …

Sensitivity analysis is an essential paradigm in Earth and Environmental Systems modeling.
However, the term “sensitivity” has a clear definition, based in partial derivatives, only when …

In mining or construction projects, for exploitation of hard rock with high strength properties,
blasting is frequently applied to breaking or moving them using high explosive energy …

The past decade has seen significant progress in characterizing uncertainty in
environmental systems models, through statistical treatment of incomplete knowledge …

Physically based models provide insights into key hydrologic processes but are associated
with uncertainties due to deficiencies in forcing data, model parameters, and model …

Abstract Global Sensitivity Analysis (GSA) is an essential technique to support the
calibration of environmental models by identifying the influential parameters (screening) and …

Land surface models incorporate a large number of process descriptions, containing a
multitude of parameters. These parameters are typically read from tabulated input files …

Abstract The Soil and Water Assessment Tool (SWAT) is a physical model designed to
predict the hydrological processes that could characterize natural and anthropized …

The present study proposes a General Probabilistic Framework (GPF) for uncertainty and
global sensitivity analysis of deterministic models in which, in addition to scalar inputs, non …