Results 201 to 210 of about 1,777,518 (275)

Relating Monthly to Yearly Morphological Changes in Embryonic Coastal Dune Systems

open access: yesJournal of Geophysical Research: Earth Surface, Volume 131, Issue 10, October 2026.
Abstract Embryonic coastal dunes are dynamic morphological features shaped by wind, waves, sediment availability, and vegetation. Temporal variability in these drivers controls embryo dune dynamics at short timescales (hours–days), while accreting dune systems often show gradual change over longer timescales (years–decades).
R. L. Hulskamp   +5 more
wiley   +1 more source

Characterizing Permafrost Distribution Along the Hudson Bay Railway Using Temperature‐Calibrated Electrical Resistivity Tomography

open access: yesJournal of Geophysical Research: Earth Surface, Volume 131, Issue 10, October 2026.
Abstract As the climate warms, understanding permafrost distribution along linear infrastructure is a key aspect of assessing, mitigating, and adapting to the risks associated with permafrost thaw. Electrical resistivity tomography (ERT) is becoming an increasingly common tool for evaluating permafrost distribution at the infrastructure scale.
T. Herring   +4 more
wiley   +1 more source

Causal Inference Reveals Temperature Dominated the Vegetation Greening on the Qinghai‐Tibetan Plateau Over the Past Two Decades

open access: yesJournal of Geophysical Research: Biogeosciences, Volume 131, Issue 10, October 2026.
Abstract The Qinghai‐Tibetan Plateau (QTP) is a globally vital climate‐sensitive region, where vegetation dynamics serve as key indicators of global climate change and anthropogenic activities. However, conventional methods provide limited causal interpretability, which severely constrains our understanding of vegetation dynamic interactions. Therefore,
Tingping Wei   +4 more
wiley   +1 more source

Enhancing Significant Wave Height Simulations Using Distribution‐Aware Deep Learning and Environmental Predictors

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Numerical wave models are widely used for wave forecasting and hindcast data set construction; however, their outputs frequently exhibit systematic biases stemming from uncertainties in wind forcing, physical parameterizations, and bathymetry. To address this issue, a deep learning–based bias correction approach is applied to significant wave ...
Jiageng Han   +6 more
wiley   +1 more source

Diffusion‐Based Reconstruction of Western North Pacific Surface Winds From CYGNSS for Tropical Cyclone Analysis

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 10, October 2026.
Abstract Sea surface wind retrieval under extreme weather conditions is constrained by the sparse and irregular spatiotemporal sampling of Global Navigation Satellite System Reflectometry (GNSS‐R). This study presents a probabilistic wind field reconstruction framework for the Western North Pacific using Score‐Based Data Assimilation (SDA). A diffusion
Xinhai Han   +9 more
wiley   +1 more source

Home - About - Disclaimer - Privacy