Results 61 to 70 of about 5,604 (198)
Quarterly 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
Ecological ProcessesBackground Accurate measurements of aboveground biomass (AGB) are essential for understanding the planet’s carbon balance. The Atlantic Forest of the Serra do Mar in southeastern Brazil contains large areas of well-preserved remnants, characterized by ...
Joel Carlos Rodrigues Otaviano +1 more
doaj +1 more source
A Machine Learning Technique for Spatial Interpolation of Solar Radiation Observations
Earth and Space Science, 2021 This study applies statistical methods to interpolate missing values in a data set of radiative energy fluxes at the surface of Earth. We apply Random Forest (RF) and seven other conventional spatial interpolation models to a global Surface Solar ...
Thomas Leirvik, Menghan Yuan
doaj +1 more source
Remote 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
Hungarian Geographical Bulletin, 2015 Due to former soil surveys and mapping activities significant amount of soil information has accumulated in Hungary. Present soil data requirements are mainly fulfilled with these available datasets either by their direct usage or after certain specific ...
László Pásztor +7 more
doaj +1 more source
Feature-free regression kriging
Spatial interpolation is a crucial task in geography. As perhaps the most widely used interpolation methods, geostatistical models -- such as Ordinary Kriging (OK) -- assume spatial stationarity, which makes it difficult to capture the nonstationary characteristics of geographic variables.
Luo, Peng, Wu, Yilong, Song, Yongze
openaire +2 more sources
Bath Vibration During Open Eye Formation in a Physical Model of a Steelmaking Ladle
steel research international, EarlyView.Using a physical model, this study shows that vibration measurements reliably predict open eye size in steelmaking ladles, offering a practical alternative to visual monitoring. Vessel vibrations stabilize faster than the open eye, except at high frequencies near the bottom.
Mika Pylvänäinen +6 more
wiley +1 more source
Geologia Croatica, 2015 Modelling spatial variability and uncertainty is a highly challenging subject in soil- and geosciences. Regression kriging (RK) has several advantages; nevertheless it is not able to model the spatial uncertainty of the target variable.
Gábor Szatmári +3 more
doaj +1 more source
Wildlife Letters, EarlyView.Climate change drives shifts in suitable habitats for Eurasian lynx and its prey (hare, roe deer) in Mohe, Daxing'anling Mountains. Under RCP scenarios, moderate warming (RCP4.5) promotes substantial habitat expansion, while high‐emission conditions (RCP8.5) lead to strong expansion in the 2050s but slower gains and partial contraction by the 2070s ...
Binglian Liu +5 more
wiley +1 more source
Full-field digital image correlation with Kriging regression [PDF]
Optics and Lasers in Engineering, 2015 A full-field Digital Image Correlation (DIC) method with integrated Kriging regression is presented in this article. The displacement field is formulated as a best linear unbiased model that includes the correlations between all the locations in the Region of Interest (RoI). A global error factor is employed to extend conventional Kriging interpolation
Wang, D +3 more
openaire +2 more sources