Results 271 to 280 of about 92,051 (340)

Machine Learning Approximations for Fast and Accurate Prediction of Nonlinear Four‐Wave Interactions in Spectral Wave Models

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Operational wave forecasting requires a delicate balance between the accuracy and computational speed of the spectral wave model used, in which the nonlinear wave–wave interaction “source” term plays an important role. The exact formulation of these nonlinear four‐wave interactions requires solving the six‐dimensional Boltzmann integral, an ...
Jialun Chen   +4 more
wiley   +1 more source

Hibernia swath bathymetry

open access: yes, 1993
R Courtney, G Sonnichsen, R Parrott
openaire   +1 more source

Surfzone Water Depth Estimation From Surface Flows Using a Data‐Driven and Physics‐Informed Deep Conditional Generative Model

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract A physics‐informed deep conditional generative model driven with remotely sensed surface currents is shown to estimate surfzone water depths (bathymetry). The model encodes measured flow data as latent Gaussian parameters and decodes these distributions to estimate water depths over the domain, progressively refining its predictions via a loss‐
Reza Salatin   +2 more
wiley   +1 more source

Bathymetry and Sediment Geochemistry of Lake Hazen (Quttinirpaaq National Park, Ellesmere Island, Nunavut)

open access: bronze, 2012
Günter Köck   +6 more
openalex   +2 more sources

Experimental Verification of a Two‐Dimensional Inverse Method for Turbidity Currents Using a Deep Neural Network

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Turbidites have been widely studied as indicators of the occurrences and magnitudes of paleo‐tsunamis and paleo‐earthquakes. Inversion to estimate flow conditions from turbidites offers valuable insights into the magnitudes of paleo‐seismic and tsunami events.
Seiya Fujishima, Hajime Naruse
wiley   +1 more source

Harnessing Multiscale Topographic Environmental Variables for Regional Coral Species Distribution Models. [PDF]

open access: yesEcol Evol
Guillaume AS   +8 more
europepmc   +1 more source

Advancing Near‐Real‐Time Flood Inundation Mapping in Australia

open access: yesWater Resources Research, Volume 62, Issue 2, February 2026.
Abstract Floods are the second‐most deadly natural hazard in Australia, following heatwaves. Monitoring flood extent and depth in near real‐time (NRT) is crucial to minimize loss of life and socio‐economic impacts. This study leverages advanced computing, data management systems, and high‐quality data, including river gauge data APIs and Australian ...
Jiawei Hou   +5 more
wiley   +1 more source

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