Results 141 to 150 of about 20,932 (245)
Abstract From the mid‐late 2000s through at least the mid‐2010s, dynamic sea level (DSL) along the U.S. Gulf Coast rose at a rate of ∼5–6 mm yr−1 ${\text{yr}}^{-1}$, almost twice the rate of global mean steric plus barystatic sea level rise. Previous statistical and numerical modeling studies have suggested a number of hypotheses for this enhanced rise.
Andrew Delman, Ou Wang, Tong Lee
wiley +1 more source
Abstract Accurate characterization of gravel structures is essential for understanding riverbed roughness, flow resistance, and sediment transport. However, quantifying the definitive characteristics of these gravel structures remains challenging due to the inherent complexity of particle spatial arrangement. This study presents an improved statistical
Jie Qin, Teng Wu
wiley +1 more source
Abstract Cokriging is a widely used geostatistical method for modeling the shallow groundwater table, often incorporating digital elevation models (DEMs) as secondary variables. However, existing approaches rarely include robust validation procedures to reduce local uncertainty or iteratively improve spatial predictions.
Massimiliano Schiavo, Daniele Pedretti
wiley +1 more source
The Real‐Time Advanced Ionospheric Data Assimilation (AIDA) Model
Abstract The Advanced Ionospheric Data Assimilation (AIDA) is a real‐time data assimilation model of global 3D ionosphere and plasmasphere electron density. Changes in the local space environment can occur on very short timescales, particularly during disturbed geomagnetic conditions.
Benjamin Reid +5 more
wiley +1 more source
Abstract Planting structure drive agricultural water use and is critical to groundwater depletion in the North China Plain (NCP). However, the effects of planting structure changes on groundwater depletion are rarely quantified, and severely depleted areas are often overlooked in previous planting structure optimization studies.
Chengru Jia +7 more
wiley +1 more source
Ensemble Methods for History Matching and Uncertainty Quantification With a Watershed Model
ABSTRACT History matching of large hydrologic models is challenging due to data sparsity and non‐unique process combinations (and associated parameters) that can produce similar model predictions. We develop an ensemble‐based history matching (and uncertainty quantification) approach using an iterative ensemble smoother (iES) method for three cutouts ...
Michael N. Fienen +4 more
wiley +1 more source
Detected Shifts Towards Drought‐Adaptive Strategies in the Amazon Forest Over the Last Four Decades
Amazon forests are facing hotter, drier conditions, and we used 40 years of satellite data to look for early signs of ecological change. Combining satellite observations with leaf measurements from more than 3000 trees, we show that many forests now show smaller dry‐season fluctuations in canopy colour—especially in the southern and eastern Amazon ...
Milton Barbosa +7 more
wiley +1 more source
Ordinary kriging vs inverse distance weighting: spatial interpolation of the sessile community of Madagascar reef, Gulf of Mexico. [PDF]
Zarco-Perello S, Simões N.
europepmc +1 more source
ABSTRACT This research provides new directions in conceptualizing emotional geographies at the landscape level using a combination of textual deep learning (DL) and GPT‐based spatial emotion detection and interpolation using 3D empirical Bayesian kriging.
Christopher J. Anderson
wiley +1 more source
Abstract Subsurface heterogeneity influences watershed hydrology strongly but remains difficult to characterize at catchment scales with sparse and costly field data. Geophysical surveys such as electromagnetic induction (EMI) provide local spatial subsurface images yet scaling them to watershed scales and converting EMI‐derived resistivity into ...
Hang Chen +4 more
wiley +1 more source

