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Crustal thickness variation of Kalimantan and Sulawesi Region from Teleseismic receiver function
Kalimantan and Sulawesi are located within the complex tectonic setting of central Indonesia. The tectonic evolution process during the Mesozoic and...
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Variance-covariance component estimation for structured errors-in-variables models with cross-covariances
In this contribution, an iterative algorithm for variance-covariance component estimation based on the structured errors-in-variables (EIV) model is...
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Past and future climate variability analysis in bhutan
The escalating local impacts of climate change are a pressing global concern, particularly in regions vulnerable to global warming, like the Hindu...
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New Validity Conditions for the Multivariate Matérn Coregionalization Model, with an Application to Exploration Geochemistry
This paper addresses the problem of finding parametric constraints that ensure the validity of the multivariate Matérn covariance for modeling the...
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Efficient inference and learning of a generative model for ENSO predictions from large multi-model datasets
Historical simulations of global sea-surface temperature (SST) from the fifth phase of the Coupled Model Intercomparison Project (CMIP5) are...
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Limitations of an Eddy-Covariance System in Measuring Low Ammonia Fluxes
Green manuring of legume crops can improve soil fertility and sustainability. To evaluate its agronomic and environmental effectiveness, gaseous...
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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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A Model for Low-Frequency, Anisotropic Wind Fluctuations and Coherences in the Marine Atmosphere
To assess dynamic loads, large offshore wind turbines need detailed and reliable statistical information on the inflow turbulence. We present a model...
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Augmenting Stationary Covariance Functions with a Smoothness Hyperparameter and Improving Gaussian Process Regression Using a Structural Similarity Index
AbstractGaussian process (GP) regression provides a probabilistic framework for modeling geochemistry in mineral resource estimation and...
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Impact of reactive mineral facies distributions on radionuclide sorption properties in multiscale heterogeneous granite rocks
Modeling radionuclide reactive transport in host rocks is one of the major challenges with respect to the performance and safety assessment of...
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Evaluation of the sub-annual sea level anomalies in the continental shelf of the Southwestern Atlantic and their relation to wind variability
We have analyzed the relationship between wind variability and sea level anomalies (SLA) on the Southwestern Atlantic Continental Shelf, focusing on...
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Experimental Methods for Estimating the Fluxes of Energy and Matter
In meteorology and climatology, typically only specific atmospheric variables are measured in operational networks and energy and matter fluxes...
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Geostatistics in Exploration and Mining
Geostatistics in exploration and mining, over the last eighty years, has witnessed its progress starting with linear kriging, and then advancing to...
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Spatio-temporal modeling of groundwater quality deterioration and resource depletion
In Hydrogeology, the analysis of groundwater features is based on multiple data related to correlated variables recorded over a spatio-temporal...
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Improving Daily and Monthly River Discharge Forecasts using Geostatistical Ensemble Modeling
In this paper, daily and monthly runoff discharge forecasts are improved by develo** an ensemble model based on the Bayesian maximum entropy (BME),...
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The Regularized WSM6 Microphysical Scheme and Its Validation in WRF 4D-Var
A cold cloud assimilation scheme was developed that fully considers the water substances, i.e., water vapor, cloud water, rain, ice, snow, and...
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Associating daily meteorological variables of a local climate using DCCA, sample entropy, Lévy-index and Hurst–Kolmogorov exponents: a case study
The nonlinear scaling of meteorological processes is an issue of much interest. The objectives of the present work were (a) to investigate...
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Examining and predicting the influence of climatic and terrestrial factors on the seasonal distribution of ozone column depth over Tehran province using satellite observations
When combined with conducive atmospheric conditions, air pollution caused by fossil fuel consumption associated with transportation, industry and...
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Identifying and localizing of seismogenic electromagnetic anomalies from data observed by permanent MT stations
In this research, an arbitrarily oriented electric dipole at subsurface is used to simulate Seismogenic Electromagnetic (SEM) radiation emanating...
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Digital soil map**: a predictive performance assessment of spatial linear regression, Bayesian and ML-based models
Nowadays, information on the spatial distribution of soil properties is considered a key element for environmental research and for agricultural...
