[HTML][HTML] Sensitivity analysis of environmental models: A systematic review with practical workflow
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 …
can be attributed to variations of its input factors. SA is increasingly being used in …
Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications
Sensitivity analysis (SA) aims to identify the key parameters that affect model performance
and it plays important roles in model parameterization, calibration, optimization, and …
and it plays important roles in model parameterization, calibration, optimization, and …
What do we mean by sensitivity analysis? The need for comprehensive characterization of “global” sensitivity in E arth and E nvironmental systems models
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 …
However, the term “sensitivity” has a clear definition, based in partial derivatives, only when …
Towards a comprehensive assessment of model structural adequacy
The past decade has seen significant progress in characterizing uncertainty in
environmental systems models, through statistical treatment of incomplete knowledge …
environmental systems models, through statistical treatment of incomplete knowledge …
[HTML][HTML] Prediction of flyrock distance induced by mine blasting using a novel Harris Hawks optimization-based multi-layer perceptron neural network
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 …
blasting is frequently applied to breaking or moving them using high explosive energy …
Exploring the impact of forcing error characteristics on physically based snow simulations within a global sensitivity analysis framework
Physically based models provide insights into key hydrologic processes but are associated
with uncertainties due to deficiencies in forcing data, model parameters, and model …
with uncertainties due to deficiencies in forcing data, model parameters, and model …
The impact of standard and hard‐coded parameters on the hydrologic fluxes in the Noah‐MP land surface model
Land surface models incorporate a large number of process descriptions, containing a
multitude of parameters. These parameters are typically read from tabulated input files …
multitude of parameters. These parameters are typically read from tabulated input files …
Comparison of variance-based and moment-independent global sensitivity analysis approaches by application to the SWAT model
Abstract Global Sensitivity Analysis (GSA) is an essential technique to support the
calibration of environmental models by identifying the influential parameters (screening) and …
calibration of environmental models by identifying the influential parameters (screening) and …
A General Probabilistic Framework for uncertainty and global sensitivity analysis of deterministic models: A hydrological case study
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 …
global sensitivity analysis of deterministic models in which, in addition to scalar inputs, non …
What has Global Sensitivity Analysis ever done for us? A systematic review to support scientific advancement and to inform policy-making in earth system modelling
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 …
search for understanding of earth system functioning and support decision-and policy …