Results 71 to 80 of about 584,789 (249)

SPATIAL INSIGHTS INTO EARTHQUAKE STRENGTH: A SULAWESI CASE STUDY USING ORDINARY AND ROBUST KRIGING METHODS

open access: yesBarekeng
The data from the Meteorology, Climatology and Geophysics Agency (BMKG) in the last 22 years shows that there have been 230 destructive earthquakes in Indonesia with the highest incidence in 2021.
Nanda Lailatul Humairah, Achmad Fauzan
doaj   +1 more source

Spatial prediction of soil properties in two contrasting physiographic regions in Brazil

open access: yesScientia Agricola, 2016
This study compared the performance of ordinary kriging (OK) and regression kriging (RK) to predict soil physical-chemical properties in topsoil (0-15 cm).
Michele Duarte de Menezes   +4 more
doaj   +1 more source

Enhancing Structural Reliability of Composite Adhesive Joints: An Integrated Experimental‐Numerical‐Machine Learning Framework for Material‐Geometric Co‐Optimization

open access: yesPolymer Composites, EarlyView.
An integrated experimental, numerical, and explainable machine learning framework for the material‐geometric co‐optimization and multi‐objective Pareto design of robust composite adhesive joints. ABSTRACT The reliability of composite adhesive joints is compromised by non‐linear dependencies between material properties and manufacturing uncertainties ...
Sajjad Karimi
wiley   +1 more source

A singularity regression kriging for spatial prediction

open access: yesGIScience & Remote Sensing
Accurate spatial prediction remains challenging in heterogeneous environments where environmental variables exhibit nonlinear, multiscale, and non-Gaussian characteristics.
Kai Ren, Yongze Song, Min Chen, Qiang Yu
doaj   +1 more source

Application of Co-Kriging and Ordinary Kriging for Selecting Additional Well Locations

open access: yes, 2022
This is a late posting of an old paper (year 2018, Colorado School of Mines)
openaire   +2 more sources

Epistemic and aleatoric uncertainty quantification in weather and climate models

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Aleatoric and epistemic uncertainties over time on weather and climate time‐scales, estimated through ensembles that sample aleatoric and epistemic uncertainty using Bayesian neural networks for parameterisations in the Lorenz 1996 model. The spread shows the 16th and 84th percentiles.
Laura A. Mansfield   +1 more
wiley   +1 more source

Mapping the topsoil pH and humus quality of forest soils in the North Bohemian Jizerské hory Mts. region with ordinary, universal, and regression kriging: cross-validation comparison

open access: yesSoil and Water Research, 2013
North Bohemia belongs to one of the most heavily industrialized and polluted regions in Europe. The enormous acid deposition which culminated in the 1970s has largely contributed to the accelerated acidification process in the soils and consequently to ...
Radim VAŠÁT   +4 more
doaj   +1 more source

Further development of adaptive parameter tuning in the numerical weather prediction models of Deutscher Wetterdienst

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
The introduction of adaptive parameter tuning in the numerical weather prediction models of DWD in 2022 substantially improved the forecast quality of near‐surface variables like 2‐m temperature and 2‐m humidity. Since 2023, refinements and extensions, primarily affecting the surface evaporation and its diurnal cycle, have led to further advances ...
Günther Zängl
wiley   +1 more source

High spatial resolution digital elevation model (DEM) production using different interpolations techniques

open access: yesIraqi Journal of Physics, 2019
DEMs, thus, simply regular grids of elevation measurements over the land surface.The aim of the present work is to produce high resolution DEM for certain investigated region (i.e. Baghdad University Campus\ college of science). The easting and northing
Israa Jameel Muhsin
doaj   +1 more source

Using Airborne Laser Scanning and Sentinel‐2 to Understand Subcanopy Light Regimes and Understory Diversity of Vascular Plants in Temperate Mountain Forests

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This study demonstrates that not just Airborne Laser Scanning, but also Sentinel‐2 can effectively estimate absolute canopy cover and canopy cover heterogeneity ‐ structural metrics that determine the subcanopy light regime, found to be linked to the vascular plant species richness in the understory of temperate mountain forests.
Felix Wieland‐Glasmann   +4 more
wiley   +1 more source

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