activity
20172023
most citedTransport by Lagrangian Vortices in the Eastern Pacific

123 citations · 182 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2023★ 19 cited

ClimSim-Online: A Large Multi-scale Dataset and Framework for Hybrid ML-physics Climate Emulation

Sungduk Yu, Zeyuan Hu, Akshay Subramaniam +44

Modern climate projections lack adequate spatial and temporal resolution due to computational constraints, leading to inaccuracies in representing critical processes like thunderst…

physics.ao-ph2022★ 5 cited

Frequency dependence of near-surface oceanic kinetic energy from drifter observations and global high-resolution models

Brian K. Arbic, Shane Elipot, Jonathan M. Brasch +12

The geographical variability, frequency content, and vertical structure of near-surface oceanic kinetic energy (KE) are important for air-sea interaction, marine ecosystems, operat…

math.DS2021★ 6 cited

Deep Lagrangian connectivity in the global ocean inferred from Argo floats

Ryan Abernathey, Christopher Bladwell, Gary Froyland +1

We describe the application of a new technique from nonlinear dynamical systems to infer the Lagrangian connectivity of the deep global ocean. We approximate the dynamic Laplacian…

physics.ao-ph2019★ 17 cited

Role of Coherent Eddies in Potential Vorticity Transport in Two-layer Quasigeostrophic Turbulence

Wenda Zhang, Christopher L. P. Wolfe, Ryan Abernathey

The transport by materially coherent eddies is studied in a two-layer quasigeostrophic model of geophysical turbulence. The coherent eddies are identified by closed contours of the…

physics.flu-dyn2019★ 11 cited

Deep learning for subgrid-scale turbulence modeling in large-eddy simulations of the atmospheric boundary layer

Yu Cheng, Marco Giometto, Pit Kauffmann +7

In large-eddy simulations, subgrid-scale (SGS) processes are parameterized as a function of filtered grid-scale variables. First-order, algebraic SGS models are based on the eddy-v…

cs.DC2019★ 1 cited

Seven Principles for Effective Scientific Big-DataSystems

Niall H. Robinson, Joe Hamman, Ryan Abernathey

We should be in a golden age of scientific discovery, given that we have more data and more compute power available than ever before, plus a new generation of algorithms that can l…

physics.ao-ph2017★ 123 cited

Transport by Lagrangian Vortices in the Eastern Pacific

Ryan Abernathey, George Haller

Rotationally coherent Lagrangian vortices (RCLVs) are identified from satellite-derived surface geostrophic velocities in the Eastern Pacific (180-130 W) using the…