Results 141 to 150 of about 20,932 (245)

Forcing of Subannual‐to‐Decadal Sea Level Variability and the Recent Rapid Rise Along the U.S. Gulf Coast

open access: yesJournal of Geophysical Research: Oceans, Volume 131, Issue 2, February 2026.
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

Quantitative Characterization of Gravel Bed Structures Using 2DSSFs and Machine Learning‐Based Surrogate Surface Generation

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
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

Genetic and Iterative Metaheuristics‐Informed Algorithms for Precision Shallow Groundwater Modeling and Drought Inference

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
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

open access: yesSpace Weather, Volume 24, Issue 2, February 2026.
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

The Effects of Planting Structure on Groundwater Depletion and Optimization Strategies in the North China Plain

open access: yesWater Resources Research, Volume 62, Issue 2, February 2026.
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

open access: yesJAWRA Journal of the American Water Resources Association, Volume 62, Issue 1, February 2026.
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

open access: yesGlobal Change Biology, Volume 32, Issue 2, February 2026.
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

Detecting and Modeling Emotional Landscapes Through Deep Learning, GPT‐4.1, and 3D Spatial Interpolation

open access: yesTransactions in GIS, Volume 30, Issue 1, February 2026.
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

A ModEx Framework for Watershed Subsurface Investigation With Limited Geophysical Data Using Machine Learning and Hydrologic Modeling

open access: yesGeophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
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

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