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 …

Hydrological models have to be calibrated accurately to provide reasonable model results.
For a concise model evaluation, the different phases of the hydrograph have to be …

A sound understanding of the community changes over time and its driving forces is at the
centre of biodiversity conservation and ecology research. In this study, we examined:(i) the …

Computer models are essential tools in the earth system sciences. They underpin our
search for understanding of earth system functioning and support decision-and policy …

Hydrological modeling has provided key insights into the mechanisms of land-use change
impacts on runoff. However, the uncertainty of this impact is poorly understood. This paper …

In this study, the simulations generated by two of the most widely used hydrological basin-
scale models, the Annualized Agricultural Non-Point Source (AnnAGNPS) and the Soil and …

The current paper presents the evaluation of the ability of the SWAT hydrological model (Soil
and Water Assessment Tool) to reproduce continuous daily streamflows of the upper …

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 …

Sensitivity analysis determines how perturbation or variation in the values of an independent
variable affects a particular dependent variable. The present study attempts to comprehend …