Results 171 to 180 of about 9,965 (268)
Adjoint-Driven Inverse Design of a Quad-Spectral Metasurface Router for RGB-NIR Sensing. [PDF]
Arfin R +4 more
europepmc +1 more source
The ASTE‐BGC Data‐Assimilative Regional Ocean Biogeochemical Model
Abstract We present a data‐assimilative regional ocean biogeochemical model, ASTE‐BGC, which simulates the physical and biogeochemical state of the North Atlantic Ocean from 2002 to 2017. Model physics are provided by a physical state estimate (ASTE), which assimilates O(109) in situ and satellite‐based observations over the model domain and time ...
L. A. Moseley +5 more
wiley +1 more source
MF6-ADJ: A Non-Intrusive Adjoint Sensitivity Capability for MODFLOW 6. [PDF]
Hayek M +4 more
europepmc +1 more source
Assimilation of Velocity Data for Tidal Hydrodynamics Model Calibration
Abstract Assessing tidal stream energy resource typically involves the application of numerical models calibrated against sparse Acoustic Doppler Current Profiler (ADCP) data. This introduces significant challenges in energetic sites which are prone to significant spatiotemporal variations, like the Pentland Firth, Scotland, which is home to the world ...
Connor Jordan, Athanasios Angeloudis
wiley +1 more source
Nonlinear Stability in a Free Boundary Model of Active Locomotion. [PDF]
Berlyand L, Safsten CA, Truskinovsky L.
europepmc +1 more source
Abstract Despite significant advances in observational systems such as the global Argo array of autonomous profiling floats, the spatiotemporal coverage of subsurface ocean observations remains limited compared to the dense data provided by satellite platforms. This study develops a data‐driven framework to reconstruct synthetic profiles of upper ocean
Guangpeng Liu, Brian Powell
wiley +1 more source
Analysis, control, and forecasting the dynamics of SIRD models with saturated treatment and nonlinear incidence. [PDF]
Elsonbaty A +5 more
europepmc +1 more source
Learning 2D Shallow Water Equations With Physics‐Informed Neural Operator Networks
Abstract This study investigates the application of Physics‐Informed Neural Operators (PINOs) for solving the two‐dimensional shallow water equations (2D SWE) in the context of flood modeling. Unlike Physics‐Informed Neural Networks (PINNs), which require retraining for each new initial or boundary condition (BC), PINOs learn the solution operator ...
Robert Keppler +2 more
wiley +1 more source
Optical see-through augmented reality via inverse-designed waveguide couplers. [PDF]
Lee S, Lee B, Chung H.
europepmc +1 more source
Abstract This study examines the impact of assimilating all‐sky microwave radiances from the Time‐Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats (TROPICS) mission within the NASA Global Earth Observing System (GEOS) data assimilation and forecasting framework based on the Gridpoint Statistical ...
Min‐Jeong Kim +4 more
wiley +1 more source

