Results 131 to 140 of about 2,128 (222)

Debris Flows Suppressed Riverine Productivity and Respiration Following High‐Severity Wildfire on the Klamath River, California

Geophysical Research Letters, Volume 53, Issue 12, 28 June 2026.
Abstract Wildfires alter terrestrial material and energy inputs to rivers, but impacts to ecosystem metabolism and dissolved oxygen (DO) are not well known due to few river ecosystem response studies during and after wildfires. In summer 2022, wildfire and heavy rains triggered debris flows into the Klamath River, where we compared immediate (days) and
Laurel Genzoli, John R. Oberholzer Dent, Robert O. Hall Jr., Grant Johnson   +3 more
wiley   +1 more source

Mechanisms for Meridional Propagation of Global Mesoscale Ocean Eddies Within a PV‐Based Dynamic Framework

Geophysical Research Letters, Volume 53, Issue 11, 16 June 2026.
Abstract Mesoscale eddies are crucial for global heat and tracer transport, yet the mechanisms underlying their meridional movement remain unclear. Here, we combine satellite observations, idealized numerical experiments, and theoretical modeling to investigate these mechanisms. We demonstrate that the meridional eddy movement is strongly linked to the
Lei Chen, Guihua Wang
wiley   +1 more source

β-plane correction for eddy detection and the drivers of eddy activity heterogeneity in a semi-closed maritime continent basin. [PDF]

Sci Rep
Napitupulu G, Yulianti KK, Kartadikaria AR, Radjawane IM, Akbar MA, Sinurat ME, Yuliardi AY, Saleh E, Macario AC, Khadami F, Ramadhan MR, Napitupulu M.   +11 more
europepmc   +1 more source

The Potential for Leveraging SWOT‐Mapped Uneven Water Surface Elevations to Enhance ICESat‐2–Derived Lake Levels

Geophysical Research Letters, Volume 53, Issue 11, 16 June 2026.
Abstract Satellite altimetry is advantageous for measuring water surface elevations (WSE) globally. However, biases of time series can be caused by uneven water surfaces, as nadir pointing measurements are often collected at different locations across a lake.
Chi Hsiang Huang, Huilin Gao
wiley   +1 more source

Cascading geomorphic hazards triggered by fluvial floods in an anthropogenically-impacted beach. [PDF]

Sci Rep
Arróspide C, Aguilar G, Lazo P, Ojeda P, Flores-Aqueveque V, Garcés A.   +5 more
europepmc   +1 more source

SATELLITE DERIVED BATHYMETRY WITH MACHINE LEARNING: A CASE STUDY FOR CALIFORNIA

International Symposium on Applied Geoinformatics 2021, 2022
Bulent Bayram, Tolga Bakirman, Balahun Kalkan   +2 more
openaire   +1 more source

Revealing Coastal Storm‐Wave Transformations From SWOT HR Observation: The English Channel Case Study

Geophysical Research Letters, Volume 53, Issue 11, 16 June 2026.
Abstract Swell propagation and transformation across variable bathymetry and coastal obstacles fundamentally control nearshore wave energy redistribution, sediment transport, and shoreline evolution. Conventional satellite altimetry cannot adequately resolve these dynamics, particularly refraction and diffraction as swell transition into shallow waters.
Md Saiful Islam, Emma Imen Turki, Carlos Lopez Solano, Laurent Froideval, Xavier Chartrand, Pascal Matte, Erwin W. J. Bergsma, Benoit Laignel, Nicolas Picot   +8 more
wiley   +1 more source

Methodology for wave power estimation at remote sites with satellite altimeter validation applied to Indonesia. [PDF]

J Ocean Eng Mar Energy
McIlvenny J, Williamson BJ.
europepmc   +1 more source

Glacial Ice‐Front Calving: Internal Wave Generation and Melting

Geophysical Research Letters, Volume 53, Issue 11, 16 June 2026.
Abstract Small, frequent calving events dominate the behavior of most Arctic marine‐terminating glaciers, yet their oceanographic impacts remain largely unquantified. We present the first direct observations of internal waves generated by modest ice‐fall calving at Kronebreen, Svalbard. High‐resolution current meter and microstructure measurements show
M. E. Inall, N. J. Fraser, A. Sundfjord, M. P. Meredith   +3 more
wiley   +1 more source

Large-scale bathymetry in high-turbidity rivers enabled by remote sensing and artificial intelligence. [PDF]

Environ Sci Ecotechnol
Pang Y, Xue Y, Zhang Y, Ma Z, Xing X, Xu M, Fu X, Hu C.   +7 more
europepmc   +1 more source