Results 161 to 170 of about 8,734 (269)

Learning Vertical Coordinates via Automatic Differentiation of a Dynamical Core

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
Abstract Terrain‐following coordinates in atmospheric models often imprint their grid structure onto the solution, particularly over steep topography, where distorted coordinate layers can generate spurious horizontal and vertical motion. Standard formulations, such as hybrid or SLEVE coordinates, mitigate these errors by using analytic decay functions
Tim Whittaker   +4 more
wiley   +1 more source

Error Growth Characterization Associated With Lateral Boundary Conditions in Idealized Moist Baroclinic Wave Simulations

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
Abstract This study investigates numerical error growth mechanisms associated with lateral boundary conditions (LBCs) and their sensitivity to update frequency within a “Big‐Brother” framework. Using an idealized moist WRF baroclinic wave simulation, a high‐resolution reference is compared against three nested configurations: traditional one‐way 6‐hr ...
Min‐Jae Lee, Sang‐Hun Park
wiley   +1 more source

Plankton active response to turbulence enables efficient transport. [PDF]

open access: yesJ Exp Biol
DiBenedetto MH   +3 more
europepmc   +1 more source

Vertical Momentum Flux at 0°N, 140°W: Unresolved Internal Waves and Implications for Cold Tongue SST

open access: yesJournal of Geophysical Research: Oceans, Volume 131, Issue 8, August 2026.
Abstract The Equatorial Pacific Cold Tongue is critical to the Bjerknes feedback driving the El Niño‐Southern Oscillation (ENSO), yet simulating Cold Tongue sea surface temperature (SST) remains difficult. Historical turbulence observations reveal a vertical momentum flux deficit in the zonal momentum budget at 0°N, 140°W.
E. H. Davenport   +6 more
wiley   +1 more source

Taming the Heterogeneous Dynamics of Oceanic Chlorophyll‐a Concentration With a Novel Deep Learning Model to Improve Prediction

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Chlorophyll‐a (Chl_a) concentration in the ocean is a critical indicator of primary production and plays a pivotal role in the global carbon cycle. Its accurate predictions are essential for reliable projections of future climate change. However, Chl_a is controlled by myriads of interactive physical and biogeochemical processes, posing a ...
Fa Zhang   +5 more
wiley   +1 more source

Data‐Driven Emulation of Numerically Simulated Baltic Sea Surface Currents With a Deep Convolutional U‐Net: Explainability and Potential Forecast Skill

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Ocean models can represent surface circulation at kilometer scales, but their computational cost limits broad experimentation. We present DeepCUN, a deep convolutional encoder–decoder (U‐Net) that emulates daily mean Baltic Sea surface current components on a 1‐nautical‐mile grid.
Amirhossein Barzandeh   +5 more
wiley   +1 more source

Introducing the Coincidence Index: A Novel Diagnostic and Production‐Based Framework for Water Body Interaction Analysis and Its Application to Study the Interaction of River Plumes

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
Abstract Quantifying interactions between distinct water bodies is critical yet challenging for understanding ocean and estuarine dynamics. We introduce the coincidence index (CI), defined as the product of two arbitrary tracers (a $a$, b $b$), to diagnose where two water masses coexist and mix.
Xiangyu Li   +2 more
wiley   +1 more source

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