Sensitivity analysis is now considered a standard practice in environmental modeling.
Several open-source libraries, such as the Sensitivity Analysis Library (SALib), have been …

Flood simulation with two-dimensional hydrodynamic models is subject to different sources
of uncertainties in model configuration, boundary conditions, and model parametrization …

Sensitivity analysis (SA) as a 'formal'and 'standard'component of scientific development and
policy support is relatively young. Many researchers and practitioners from a wide range of …

In global sensitivity analysis (GSA) of a model, a proper convergence analysis of metrics is
essential for ensuring a level of confidence or trustworthiness in sensitivity results obtained …

We propose a holistic framework for constructing sensitivity measures for any elicitable
functional T of a response variable. The sensitivity measures, termed score-based …

Differential entropy can be negative, while discrete entropy is always non-negative. This
article shows that negative entropy is a significant flaw when entropy is used as a sensitivity …

We apply a global sensitivity method, the Hilbert–Schmidt independence criterion (HSIC), to
the reparametrization of a Zn/S/H ReaxFF force field to identify the most appropriate …

Riparian zones can effectively reduce excess nitrogen loading to streams. Modeling
nitrogen retention in riparian zones is useful, especially at larger scales. We evaluated …

Dynamic crop models are powerful tools for evaluating crop responses to alternative
management options. These models consist of various input parameters that need …

Liquid leaf targets show promise as high repetition rate targets for laser-based ion
acceleration using the Target Normal Sheath Acceleration (TNSA) mechanism and are …