Results 41 to 50 of about 2,456,167 (285)
Global Sensitivity Analysis of CASC2D Hydrological Model Parameters [PDF]
[Objectives] The parameter calibration of the CASC2D hydrological model is mainly based on manual trial-and-error methods. It lacks a global sensitivity analysis of model parameters and the identification of relationships between parameters and ...
LI Xiao-ying, ZHANG Jin-hui, ZHAO Hong-jie
doaj +1 more source
Seismic Constraints on Interior Solar Convection [PDF]
We constrain the velocity spectral distribution of global-scale solar convective cells at depth using techniques of local helioseismology. We calibrate the sensitivity of helioseismic waves to large-scale convective cells in the interior by analyzing ...
DeRosa, M. L. +2 more
core +3 more sources
Distribution‐Based Global Sensitivity Analysis in Hydrology [PDF]
AbstractGlobal sensitivity analysis (GSA) is routinely used in academic setting to quantify the influence of input variability and uncertainty on predictions of a quantity of interest. Practical applications of GSA are hampered by its high computational cost, which arises from the need to run large (e.g., groundwater) models multiple times, and by its ...
Valentina Ciriello +2 more
openaire +1 more source
Multiscale Global Sensitivity Analysis for Stochastic Chemical Systems [PDF]
19 ...
Merritt, Michael +2 more
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Method of hierarchical global sensitivity analysis and its application in groundwater models
Objective Sensitivity analysis is an crucial tool in groundwater modelling for measuring the importance of various model inputs, enabling better allocation of limited funds and resources to reduce predictive uncertainty. Methods In this paper, we propose
Yujiao LIU +4 more
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Moment-based metrics for global sensitivity analysis of hydrological systems [PDF]
We propose new metrics to assist global sensitivity analysis, GSA, of hydrological and Earth systems. Our approach allows assessing the impact of uncertain parameters on main features of the probability density function, pdf, of a target model output,
A. Dell'Oca +4 more
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China bears a heavy burden due to tuberculosis (TB) with hundreds of thousands of people falling ill with the disease every year. Therefore, it is necessary to understand the effectiveness of current control measures in China.
Zhongkai Guo, Liang Zhang
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Sensitivity analysis of spatial models using geostatistical simulation [PDF]
International audienceGeostatistical simulations are used to perform a global sensitivity analysis on a model Y = f(X1 ... Xk) where one of the model inputs Xi is a continuous 2D-field.
Bailly, Jean-Stéphane +3 more
core +2 more sources
Asymptotic Analysis for the Variance-Based Global Sensitivity Indices
We discuss the estimation of the uncertainty and sensitivity parameters for a model response under the assumption that the input variables are normally distributed and block-wise correlated with the covariance matrix, which is small in some norm.
Pavel M. Bokov
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Sobol\u27 sensitivity analysis of the Holocene Peat Model: What drives carbon accumulation in peatlands? [PDF]
Understanding the development of northern peatlands and their carbon accumulation dynamics is crucial in order to confidently integrate northern peatlands into global carbon cycle models.
Frolking, Steve +2 more
core +2 more sources

