Influence of Observational Temperature Data Sets on ECS and TCR Estimates
Abstract Uncertainties in estimates of Equilibrium Climate Sensitivity (ECS) and Transient Climate Response (TCR) are influenced by observational temperature data sets. Variability exists not just among the data products, but also within the creation of each one.
Vikrant Sapkota +3 more
wiley +1 more source
Physics‐Supervised Autonomous Inverse Fracture Modeling via Generative Artificial Intelligence
Abstract Fracture networks act as critical pathways for groundwater flow and transport, yet their characterization remains challenging due to subsurface inaccessibility and stochastic complexity. Traditional inversion methods are computationally expensive and often fail to capture fracture heterogeneity accurately.
Guodong Chen +5 more
wiley +1 more source
Taylor Kriging Metamodeling for Simulation Interpolation, Sensitivity Analysis and Optimization [PDF]
The dissertation explores Kriging metamodeling for the interpolation, sensitivity analysis and optimization of simulation models with costly computational or economic expenses.
Liu, Heping
core
Interpolation methods for geographical data: Housing and commercial establishment markets [PDF]
The estimation of commercial property prices in a touristic city can be explored through spatial interpolation methods, but in the presence of small sample sizes, auxiliary stochastic processes that are correlated with the prices of commercial ...
Jose M. Montero, Beatriz Larraz
core
Remote sensing aided spatial prediction of forest stem volume [PDF]
Modern technology such as the Global Positioning System (GPS) and Geographical Information Systems (GIS) provide new opportunities for forest inventory.
Jörgen Wallerman, Wallerman, Jörgen
core
The Run up Tsunami Modeling in Bengkulu using the Spatial Interpolation of Kriging Technique
This research aims to design a tsunami hazard zone with the scenario of tsunami run-up height variation based on land use, slope and distance from the shoreline.
Yulian Fauzi +2 more
doaj
KRIGING INTERPOLATION IN SIMULATION: A SURVEY
Many simulation experiments require much computer time, so they necessitate interpolation for sensitivity analysis and optimization. The interpolating functions are ‘metamodels’ (or ‘response surfaces’) of the underlying simulation models.
J. S. Smith +4 more
core
OMS project for Kriging interpolation
<p>In this OMS project there are inputs, sim files, jar files and ouputs necessary to perform:</p> <p>- the geomorphological anlysis</p> <p>- the radiation budget (SW and LW)</p> <p>- the interpolation using ...
Marialaura Bancheri (5248195) +1 more
core +1 more source
Kriging algorithm for mapping the gravimetric data in the north of Algeria
The purpose of this work is to analyze and validate the gravimetric information in the study area in order to highlight the valid data for mapping the gravity anomaly from a grid generated by interpolation. In this context, we have performed a first step
Ilies Benikhlef +2 more
doaj +1 more source
Mapping monthly rainfall data in Galicia (NW Spain) using inverse distances and geostatistical methods [PDF]
In this paper, results from three different interpolation techniques based on Geostatistics (ordinary kriging, kriging with external drift and conditional simulation) and one deterministic method (inverse distances) for mapping total monthly rainfall are
P. Sande-Fouz +3 more
doaj

