Results 201 to 210 of about 62,852 (314)

Thresholds of Wave Forcing: Implications for Atoll Reef Dynamics Under Sea Level Rise

open access: yesJournal of Geophysical Research: Oceans, Volume 131, Issue 2, February 2026.
Abstract We investigate the response of shallow reef flow to tidal variability and wave exposure during a 4‐month field campaign in southern Huvadhu Atoll, Maldives. Incident waves breaking on steep fore reefs and reef crests generate a setup proportional to offshore wave height that drives a cross‐reef flow. We emphasize a critical threshold—where the
M. Lindhart   +3 more
wiley   +1 more source

Monitoring for Coastal Resilience: Preliminary Data from Five Italian Sandy Beaches. [PDF]

open access: yesSensors (Basel), 2019
Parlagreco L   +6 more
europepmc   +1 more source

Ecological Impacts of Beach Grooming on Exposed Sandy Beaches

open access: yes, 2008
Kelp and phytoplankton washed ashore by tides and waves support a rich diversity of shore life. On many of the most popular sandy beaches in California, however, local municipalities regularly rake up litter and kelp in a process called beach grooming.
Dugan, Jenifer E.   +3 more
openaire   +1 more source

Gray Seal Cannibalism at the Largest Colony in the World, Sable Island

open access: yes
Marine Mammal Science, Volume 42, Issue 2, April 2026.
Izzy Langley   +5 more
wiley   +1 more source

Storm Wind Flow and Sediment Dynamics on Adjacent Coastal Dunes With Contrasting Morphologies During One Storm Event

open access: yesJournal of Geophysical Research: Earth Surface, Volume 131, Issue 2, February 2026.
Abstract This study presents the first high‐resolution spatial and temporal analysis of wind flow, sediment transport and topographic evolution under simultaneous storm conditions across two morphologically contrasting beach‐dune systems, characterized by a gently sloping dune face (11°) and a steep, scarped dune face (36°).
N. Robin   +8 more
wiley   +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

Home - About - Disclaimer - Privacy