Results 171 to 180 of about 245,916 (239)

Shrouded Wind and Water Turbine Analytical Model Extensions for Tip Gaps, Center Bodies, and Flow Blockage

open access: yesWind Energy, Volume 29, Issue 2, February 2026.
ABSTRACT This paper provides improvements to a previously presented simple, accurate, lower order analytical model for predicting the performance of horizontal‐axis shrouded turbines for a wide range of shroud airfoil shapes varying in length, camber, and thickness. The new, extended model incorporates explicit quantitative predictions of those effects
M. J. Werle
wiley   +1 more source

Novel Insights on Ocean Internal Waves: Quantitative Surface Manifestations and Upper Ocean Layer Displacements From the Surface Water Ocean Topography Mission (SWOT) Measurements

open access: yesEarth and Space Science, Volume 13, Issue 2, February 2026.
Abstract The Surface Water and Ocean Topography (SWOT) mission provides unprecedented high‐resolution simultaneous observations of both sea surface height anomalies and sea surface roughness. Specifically, it enables more precise analysis of strong internal waves. Off the Amazon Shelf, in the Indonesian Seas, and near the Mascarene Ridge, internal wave
V. Cheshm Siyahi   +3 more
wiley   +1 more source

Learning Wave Scattering Properties From Seismograms

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Heterogeneities in the Earth's crust scatter seismic waves at many scales, trapping seismic energy and producing coda waves that encode valuable information on geological structures. In regions such as volcanoes and fault systems, analyzing coda waves is essential for characterizing non‐uniform subsurface heterogeneity, improving ...
Reza Esfahani   +3 more
wiley   +1 more source

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

open access: yesJournal 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   +3 more
wiley   +1 more source

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