Results 151 to 160 of about 278,137 (249)

Online Learning in Idealized Ocean Gyres

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 2, February 2026.
Abstract Ocean turbulence parameterization has principally been based on process‐based approaches, seeking to embed physical principles so that coarser resolution calculations can capture the net influence of smaller scale unresolved processes. More recently there has been an increasing focus on the application of data‐driven approaches to this problem.
James R. Maddison
wiley   +1 more source

Adjoint-Driven Inverse Design of a Quad-Spectral Metasurface Router for RGB-NIR Sensing. [PDF]

Nanomaterials (Basel)
Arfin R, Son J, Niegemann J, McGuire D, Bakr MH.   +4 more
europepmc   +1 more source

Forcing of Subannual‐to‐Decadal Sea Level Variability and the Recent Rapid Rise Along the U.S. Gulf Coast

Journal of Geophysical Research: Oceans, Volume 131, Issue 2, February 2026.
Abstract From the mid‐late 2000s through at least the mid‐2010s, dynamic sea level (DSL) along the U.S. Gulf Coast rose at a rate of ∼5–6 mm yr−1 ${\text{yr}}^{-1}$, almost twice the rate of global mean steric plus barystatic sea level rise. Previous statistical and numerical modeling studies have suggested a number of hypotheses for this enhanced rise.
Andrew Delman, Ou Wang, Tong Lee
wiley   +1 more source

Nonlinear Stability in a Free Boundary Model of Active Locomotion. [PDF]

Arch Ration Mech Anal
Berlyand L, Safsten CA, Truskinovsky L.
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

MF6-ADJ: A Non-Intrusive Adjoint Sensitivity Capability for MODFLOW 6. [PDF]

Ground Water
Hayek M, White JT, Markovich KH, Hughes JD, Lavenue M.   +4 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

Optical see-through augmented reality via inverse-designed waveguide couplers. [PDF]

Nanophotonics
Lee S, Lee B, Chung H.
europepmc   +1 more source

Duo‐AttnOPNets: Advancing Global Operational Forecasting for Atmospheric Carbon Monoxide With AI‐Empowered 4D‐Var

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 2, February 2026.
Abstract The accuracy of global forecasting of atmospheric composition is essential for protecting public health and advancing climate research. Carbon monoxide (CO), a key pollutant with indirect greenhouse effects, requires timely and accurate prediction.
Judongyang Zhou, Fangxin Fang, Christopher C. Pain, Linfeng Li, Jie Zheng, Yanghua Wang, Ionel Michael Navon, Jiang Zhu   +7 more
wiley   +1 more source

SRE-FMaps: A Sinkhorn-Regularized Elastic Functional Map Framework for Non-Isometric 3D Shape Matching. [PDF]

J Imaging
Zhang D, Zhang Y, Wang N, Zhao D.
europepmc   +1 more source