Results 191 to 200 of about 1,994 (297)

The Transition From Bedload to Granular Debris Flow on Steep Slopes: A Force Balance Perspective

open access: yesJournal of Geophysical Research: Earth Surface, Volume 131, Issue 2, February 2026.
Abstract In mountainous regions, risk mitigation requires an understanding of sediment‐transport processes. We present new experiments conducted on a steep slope (33%) to study the transition from bedload to debris flow. The flume design was adapted to mimic alpine streams: instead of studying the mobility of a channel bed composed of uniform‐sediments,
Islam Koa   +5 more
wiley   +1 more source

A Lithospheric Drip Triggered Green and Colorado River Integration

open access: yesJournal of Geophysical Research: Earth Surface, Volume 131, Issue 2, February 2026.
Abstract The integration of the Green and Colorado Rivers shifted the continental drainage divide of North America, marking a key event in the hydrological and biogeographical evolution of the continent. Sedimentological and stratigraphic evidence shows that for integration to occur, the Green River likely cut through the Uinta Mountains between 8 and ...
Adam G. G. Smith   +4 more
wiley   +1 more source

Corrigendum to “Glacial to periglacial transition at the end of the last ice age in the subtropical semiarid Andes” [Geomorphology 465 (2024) 109379 (15 November)]

open access: hybrid
Juan-Luis García   +7 more
openalex   +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

Weak Physics‐Guided Multi‐Agent Learning for Surface to Subsurface Moisture Estimation Across Diverse Climate and Soil Conditions

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Estimating subsurface soil moisture remains challenging due to limited in situ observations and the complexity of soil water dynamics. Although surface soil moisture can be retrieved from satellites with high accuracy, deeper layers are not directly observable. Traditional physics‐based models that predict subsurface soil moisture require site‐
Abhilash Singh   +2 more
wiley   +1 more source

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