Results 121 to 130 of about 1,480 (183)

Does restoring apex predators to food webs restore ecosystems? Reply

Ecological Monographs, Volume 96, Issue 1, February 2026.
N. Thompson Hobbs, Danielle B. Johnston, Kristin N. Marshall, Evan C. Wolf, David J. Cooper   +4 more
wiley   +1 more source

A Lithospheric Drip Triggered Green and Colorado River Integration

Journal 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, Matthew Fox, Scott R. Miller, Matthew C. Morriss, Leif S. Anderson   +4 more
wiley   +1 more source

Spatial modelling of groundwater potential zones in the Neyyar Basin using machine learning and morphometric analysis. [PDF]

Sci Rep
Jerin Joe RJ, Pitchaimani VS, Kaliraj S, Abishek SR, Promilton AAA, Karuppannan S.   +5 more
europepmc   +1 more source

Differentiable River Routing for End‐to‐End Learning of Hydrological Processes

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Deep Learning (DL) approaches have shown high accuracy in rainfall runoff modeling. Currently, however, large‐scale DL hydrological simulations at national and global scales still rely on external routing schemes to propagate runoff outputs through river networks, preventing them from leveraging the benefits of end‐to‐end learning of ...
Tristan Hascoet, Victor Pellet, Satoru Oishi, Takemasa Miyoshi   +3 more
wiley   +1 more source

The source-to-sink system in continental rift lacustrine basins of the Nantun Formation in X Sag of the Tamtsag Basin, Mongolia. [PDF]

Sci Rep
Liu L, Liu Z, Zhao R, Cong L, Liu X, Xin S, Mu Z.   +6 more
europepmc   +1 more source

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

Journal 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

Field experiment on the water immersion characteristics of graded gravel-sandwich subgrade structure. [PDF]

Sci Rep
Wu G, Yue X, Bai Y, Xie Y.
europepmc   +1 more source

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

Journal 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, Vidhi Singh, Kumar Gaurav   +2 more
wiley   +1 more source

Comparative analysis of traditional and Gaussian Analytical Hierarchy Process (AHP) methods for landslide susceptibility assessment. [PDF]

Sci Rep
Marques-Carvalho R, de Leon Ferreira de Carvalho ACP, Escobar-Silva EV, Quevedo RP, de Almeida CM, Santos M.   +5 more
europepmc   +1 more source

CTRIP‐HyDAS: A Global‐Scale Data Assimilation Framework for SWOT‐Derived Discharge Using Synthetic Observations at High Resolution (1/12°)

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract The integration of satellite‐based observations into hydrological models offers transformation potential for improving discharge predictions globally, especially in regions lacking in situ measurements. This study presents CTRIP‐HyDAS, a global‐scale hydrological data assimilation framework that merges SWOT‐derived discharge observations with ...
Kaushlendra Verma, Simon Munier, Aaron Boone, Patrick Le Moigne   +3 more
wiley   +1 more source