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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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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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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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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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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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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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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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Karst conduit size distribution evolution using speleogenesis modelling
One of the critical aspects when modeling groundwater flow in karstic aquifers is to estimate the statistics of the size of the conduits, in...
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Modeling spatial distribution of earthquake epicenters using inhomogeneous Log-Gaussian Cox point process
This paper explores the applicability of Inhomogeneous Log-Gaussian Cox point process to a complex spatial mechanism generating the tightly clustered...
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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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Full-waveform Inversion Based on q-Laplace Distribution
Full-waveform inversion (FWI) is a powerful methodology employed in estimating subsurface physical parameters. FWI is classically formulated as a...
