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Non-Gaussian Ensemble Optimization
Ensemble-based optimization (EnOpt), commonly used in reservoir management, can be seen as a special case of a natural evolution algorithm. Stein’s...
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Geostatistical modelling of rainfall in Fars Province of Iran using non-Gaussian spatial process
Prediction of response values is a primary goal in many applications. The standard approach to this problem is kriging which is essentially a linear...
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A spatial-varying non-isotropic Gaussian-based convolution filter for smoothing GRACE-like temporal gravity fields
AbstractThe strong noise of satellite-based Time-Variable Gravity (TVG) field is often suppressed by applying the averaging filters. However, how to...
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Variational quality control of non-Gaussian innovations and its parametric optimizations for the GRAPES m3DVAR system
The magnitude and distribution of observation innovations, which have an important impact on the analyzed accuracy, are critical variables in data...
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Seismic safety assessment with non-Gaussian random processes for train-bridge coupled systems
Extensive high-speed railway (HSR) network resembled the intricate vascular system of the human body, crisscrossing mainlands. Seismic events, known...
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Structural Description of Geophysical Random Fields with Non-Gaussian Statistics
AbstractThis article considers an approach to the describing random fields as a set of intense structures with random parameters. Such structures are...
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Non-Gaussian Copula Simulation: A New Approach to Recoverable Reserve Estimation in Indian Open-pit Copper Deposit
In a prominent open-pit copper mine in India, a non-Gaussian copula-based simulation model is developed to estimate recoverable reserves. This...
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Hydraulic Fracture Propagation in Layered Heterogeneous Rocks with Spatially Non-Gaussian Random Hydromechanical Features
This study proposes a stochastic method to analyse the propagation of hydraulic fractures affected by layered heterogeneity in rocks in a...
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Variational Quality Control of Non-Gaussian Innovations in the GRAPES m3DVAR System: Mass Field Evaluation of Assimilation Experiments
The existence of outliers can seriously influence the analysis of variational data assimilation. Quality control allows us to effectively eliminate...
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Acoustic Wave Reflection Coefficient from Large-Scale Irregularities Weakly Non-Gaussian Sea Surface
Based on statistical estimates of sea surface elevations obtained from direct wave measurements, the properties of the ocean–atmosphere boundary as a...
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Estimation of source parameters using a non-Gaussian probability density function in a Bayesian framework
Source parameters represent key factors in seismic hazard assessment and understanding source physics of earthquakes. In addition to conventional...
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Identification of non-Gaussian parameters in heterogeneous aquifers by a modified probability conditioning method through hydraulic-head assimilation
Parameter estimation with uncertainty quantification is essential in groundwater modeling to ensure model quality; however, parameter estimation,...
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Non-Gaussian Copula Simulation for Estimation of Recoverable Reserve in an Indian Copper Deposit
The present study developed a geostatistical simulation technique based on non-Gaussian copula for recoverable reserve estimation considering support...
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How to correctly apply Gaussian statistics in a non-stationary climate?
Time series with a significant trend, as is now being the case for the temperature in the course of climate change, need a careful approach for...
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Non-Gaussian Lagrangian Stochastic Model for Wind Field Simulation in the Surface Layer
Wind field simulation in the surface layer is often used to manage natural resources in terms of air quality, gene flow (through pollen drift), and...
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Contaminant Spill in a Sandbox with Non-Gaussian Conductivities: Simultaneous Identification by the Restart Normal-Score Ensemble Kalman Filter
The joint identification of the parameters defining a contaminant source and the heterogeneous distribution of the hydraulic conductivities of the...
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A non-Gaussian random field model for earthquake slip
The present study proposes a methodology to generate stochastic slip field with desired probability structure and spectral characteristics. The...
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Spatial Multivariate Morphing Transformation
Earth science phenomena, in particular mineralization of ore deposits, can be characterized by the spatial and statistical features of multivariate...
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Characterization of Solute Mixing in Heterogeneous Media by Means of Fractal Dilution Index
Many theoretical and experimental results show that solute mixing in heterogeneous porous media exhibits non-Fickian behaviors, in which the dilution...
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Iterative Gaussianisation for Multivariate Transformation
Multivariate conditional simulations can be reduced to a set of independent univariate simulations through multivariate Gaussian transformation of...