Results 181 to 190 of about 6,264 (259)

Impact of mesoscale eddies on chlorophyll variability off the coast of Chile. [PDF]

PLoS One, 2018
Wang Y, Zhang HR, Chai F, Yuan Y.
europepmc   +1 more source

Dynamics of Significant Intraseasonal Variability of Surface Chlorophyll‐a Concentration in the Far Western Tropical Pacific

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract While the far Western Tropical Pacific is known for interannual variability, we find intraseasonal variability (ISV) actually dominates surface chlorophyll (SChl) fluctuations, explaining >30% of variance. The Madden‐Julian Oscillation (MJO) acts as the key driver through three mechanisms: (a) positive MJO phase vertical mixing (enhanced winds
Hui Zhou, Xueqi Liu, Shuo Wang, Lei He, Xingru Feng   +4 more
wiley   +1 more source

Mesoscale eddies shape Prochlorococcus community structure and dynamics in the oligotrophic open ocean. [PDF]

ISME J
Sheyn U, Poff KE, Eppley JM, Leu AO, Bryant JA, Li F, Romano AE, Burger A, Barone B, DeLong EF.   +9 more
europepmc   +1 more source

Intraseasonal oscillation of deep currents influenced by mesoscale eddies in the Kuroshio Extension Region. [PDF]

Sci Rep, 2019
Liu Y, Yu F, Nan F, Zhou W.
europepmc   +1 more source

Ocean Circulation Modulating the Nutrient Distribution and Fluxes at Regional and Fine Scales: A Case Study in the Northwestern Mediterranean Sea

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract In the oligotrophic ocean, nutrient distribution plays a key role in controlling primary production via upward fluxes. In spring 2023, the BioSWOT‐Med cruise investigated how fine‐scale ocean dynamics influence nutrient availability in the Mediterranean Sea.
A. Joël, A. M. Doglioli, A. Bosse, P. Bouruet‐Aubertot, L. Buniak, X. Capet, F. d’Ovidio, G. Gregori, R. Martellucci, E. Mauri, M. Menna, T. Moutin, S. Nunige, M. Pacciaroni, R. Rolland, L. Rousselet, E. Pulido‐Villena   +16 more
wiley   +1 more source

Mesoscale eddies release pelagic sharks from thermal constraints to foraging in the ocean twilight zone. [PDF]

Proc Natl Acad Sci U S A, 2019
Braun CD, Gaube P, Sinclair-Taylor TH, Skomal GB, Thorrold SR.   +4 more
europepmc   +1 more source

Hidden Fine‐Scale Transport Pathways and Biological Connectivity Revealed by SWOT

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract Oceanic currents redistribute nutrients, phytoplankton, and other biogenic materials, fundamentally shaping marine biodiversity and ecosystem functioning. Yet, the topology of fine‐scale material transport remains poorly resolved due to limitations in high‐resolution flow observations.
Yunchen Liu, Qingyou He, Weikang Zhan, Zhiwei Zhang, Giulia Vecchioni, Yiqiang Hu, Haigang Zhan   +6 more
wiley   +1 more source

Dissipation of mesoscale eddies and its contribution to mixing in the northern South China Sea. [PDF]

Sci Rep, 2019
Yang Q, Nikurashin M, Nikurashin M, Sasaki H, Sun H, Tian J.   +5 more
europepmc   +1 more source

Large Drifter Experiment in the Western Mediterranean Sea Reveals Dynamical Versus Noise Contributions in SWOT‐KaRIn Sea Level

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract The wide‐swath altimeter Surface Water and Ocean Topography (SWOT) provides unprecedented two‐dimensional sea‐level observations, whose ability to capture upper‐ocean dynamics requires assessment. The dynamically balanced signal and noise contributions in SWOT‐KaRIn Level‐3 (L3) sea level products are here originally quantified and contrasted ...
Margot Demol, Aurélien L. Ponte, Pierre Garreau, M. Bellacicco, Maristella Berta, L. R. Centurioni, Andrea M. Doglioli, Aude Joël, Baptiste Mourre, Ananda Pascual   +9 more
wiley   +1 more source

Machine Learned Equations for Vertical Mixing Coefficients in the Ocean Surface Boundary Layer

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract Neural networks offer novel ways to parameterize unresolved ocean mixing but are challenging to interpret. Here, we derive compact equations that reproduce the behavior of neural networks trained on a second‐moment closure data set. The resulting interpretable expressions employed in a physics‐based first order closure scheme match neural ...
Aakash Sane, Brandon G. Reichl, Alistair Adcroft, Laure Zanna   +3 more
wiley   +1 more source