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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 …
Position paper: Sensitivity analysis of spatially distributed environmental models-a pragmatic framework for the exploration of uncertainty sources
Sensitivity analysis (SA) has been used to evaluate the behavior and quality of
environmental models by estimating the contributions of potential uncertainty sources to …
environmental models by estimating the contributions of potential uncertainty sources to …
[HTML][HTML] Global Sensitivity Analysis of environmental models: Convergence and validation
We address two critical choices in Global Sensitivity Analysis (GSA): the choice of the
sample size and of the threshold for the identification of insensitive input factors. Guidance to …
sample size and of the threshold for the identification of insensitive input factors. Guidance to …
[HTML][HTML] Water sensitive urban design (WSUD) spatial prioritisation through global sensitivity analysis for effective urban pluvial flood mitigation
Abstract Water Sensitive Urban Design (WSUD) has attracted growing attention as a
sustainable approach for mitigating pluvial flooding (also known as flash flooding), which is …
sustainable approach for mitigating pluvial flooding (also known as flash flooding), which is …
Robustness analysis of storm water quality modelling with LID infrastructures from natural event-based field monitoring
Sponge city construction (SCC) in China, as a new concept and a practical application of
low-impact development (LID), is gaining wide popularity. Modelling tools are widely used to …
low-impact development (LID), is gaining wide popularity. Modelling tools are widely used to …
Spatio-temporal dynamic of soil quality in the central Iranian desert modeled with machine learning and digital soil assessment techniques
Soil degradation reduces soil quality by a loss of organic matter, reduced soil fertility, and
structural breakdown, erosion, undesirable changes in salinity, acidity or alkalinity and the …
structural breakdown, erosion, undesirable changes in salinity, acidity or alkalinity and the …
Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational …
Dynamical earth and environmental systems models are typically computationally intensive
and highly parameterized with many uncertain parameters. Together, these characteristics …
and highly parameterized with many uncertain parameters. Together, these characteristics …
Applying a global sensitivity analysis workflow to improve the computational efficiencies in physiologically-based pharmacokinetic modeling
Traditionally, the solution to reduce parameter dimensionality in a physiologically-based
pharmacokinetic (PBPK) model is through expert judgment. However, this approach may …
pharmacokinetic (PBPK) model is through expert judgment. However, this approach may …
Sensitivity analysis using Morris: Just screening or an effective ranking method?
Sensitivity analysis (SA) is a fundamental practice for analyzing model behavior under
different conditions of application. A number of SA techniques were proposed, ranging from …
different conditions of application. A number of SA techniques were proposed, ranging from …
Parameter analysis and estimates for the MODIS evapotranspiration algorithm and multiscale verification
Accurate estimation of terrestrial evapotranspiration (E) is critical to understand the world's
energy and water cycles. MOD16 is the core algorithm of the widely used global E data set …
energy and water cycles. MOD16 is the core algorithm of the widely used global E data set …