Results 61 to 70 of about 1,090,522 (164)

Appraisal of the geostatistical methods to estimate Mazandaran coastal ground water quality

Caspian Journal of Environmental Sciences, 2014
The present study was carried out to evaluate three interpolation methods including weighted moving average (WMA) with the power of 2 and 3, Kriging and Cokriging methods.
Karandish, F., Shahnazari, A.
doaj  

Deciphering the Link Between Modeling Errors and the North Atlantic Surface Warming Pattern Projected by CMIP5 and CMIP6 Models

Geophysical Research Letters, Volume 53, Issue 18, 28 September 2026.
Abstract The North Atlantic Subpolar Gyre (NASG) has warmed much less than the global ocean over recent decades, thereby suggesting a human‐caused slowdown of the Atlantic Meridional Overturning Circulation (AMOC). This North Atlantic “warming hole” is also found in climate projections, yet with a model‐dependent timing, location and intensity. Here we
Hervé Douville, George Whittle, Pascal Terray   +2 more
wiley   +1 more source

Thermal analysis of mass concrete structures with cooling pipes by an adaptive moving Kriging method

Frontiers in Physics
Numerical simulation of the temperature field in massive concrete with embedded cooling water pipes is of great engineering significance for temperature control, crack prevention, and optimization of cooling strategies.
Feng Zhang, Qingwen Li, FuXian Zhu
doaj   +1 more source

Software AgDataBox-Map to precision agriculture management

SoftwareX, 2019
The soil management can affect the development of the plant, the quality of the water and air and contribute to increase in the emission of greenhouse gases.
Gabriela Karoline Michelon, Claudio Leones Bazzi, Shrinivasa Upadhyaya, Eduardo Godoy de Souza, Paulo Sérgio Graziano Magalhães, Ligia Francielle Borges, Kelyn Schenatto, Ricardo Sobjak, Alan Gavioli, Nelson Miguel Betzek   +9 more
doaj   +1 more source

Maximum‐Entropy‐Based Meshless Modeling of Surface‐Tension‐Driven Large Deformation

International Journal for Numerical Methods in Engineering, Volume 127, Issue 17, 15 September 2026.
ABSTRACT Soft material modeling is challenging due, among others, to the substantial structural changes these materials undergo. In this context, meshless methods offer a promising alternative to overcome the limitations of established mesh‐based approximations such as finite elements. However, they introduce new challenges.
Rodrigo Castillo‐Acuna, Nicholas Gianotti, Dennis M. Kochmann   +2 more
wiley   +1 more source

Kriging Models That Are Robust With Respect to Simulation Errors [PDF]

In the field of the Design and Analysis of Computer Experiments (DACE) meta-models are used to approximate time-consuming simulations. These simulations often contain simulation-model errors in the output variables.
Siem, A.Y.D., Hertog, D. den
core  

Kriging interpolation image for the ECDI.

, 2022
Kriging interpolation image for the ECDI.
Nan Xia (600675), Wenyue Hai (12378729), Mengying Tang (12203717), Gimei Song (12378732)   +3 more
core   +1 more source

Benchmarking Knowledge-assisted Kriging for Automated Spatial Interpolation of Wind Measurements

- We have benchmarked a novel knowledge-assisted kriging algorithm that allows regions of spatial cohesion to be specified and variograms calculated for each region.
Zlatev, Zlatko, Middleton, Stuart, Veres, Galina   +2 more
core   +1 more source

A kriging interpolation model for geographical flows

, 2022
This dataset contains the code and data used in the case study mentioned in the paper "A kriging interpolation model for geographical flows".Title A kriging interpolation model for geographical flowsAbstractThe kriging model can accommodate various ...
Ya Fang (13950276), Tao Pei (7820895), Jie Chen (5892), Yaxi Liu (7820904), Xiao Chen (260187), Ci Song (10187354), Xi Wang (10679892)   +6 more
core   +1 more source

Impact of MBES Measurement Noise on Seabed Model Accuracy: A Comparative Analysis of Interpolation and Smoothing Techniques

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
This study investigates the accuracy of seabed digital terrain models (DTMs) generated from multibeam echo sounder (MBES) data, focusing on mitigating the impact of random measurement noise.
Wojciech Maleika
doaj   +1 more source