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20212026
most citedAn Efficient and Statistically Accurate Lagrangian Data Assimilation Algorithm with Applications to Discrete Element Sea Ice Models

18 citations · 18 across the 6 of their papers we have counts for

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physics.ao-ph2026

Generative data assimilation highlights fronts as key regulators of ocean energy cascade

Scott A. Martin, Georgy E. Manucharyan, Patrice Klein

Mesoscale eddies are fundamental to the ocean circulation, yet the extent to which submesoscale motions, a few kilometers across, influence mesoscale eddy energetics through a kine…

physics.ao-ph2026

Power laws in the sea ice floe size distribution: a stochastic theory

Samuel N. Stechmann, Jiuhua Hu, Brandon P. Montemuro +4

Sea ice is a complex system, and observations have shown that ice segments (i.e., floes) have a wide range of sizes, with a floe size distribution that follows a power law. However…

physics.ao-ph2025

From spinning sea ice floes to ocean enstrophy spectra in the Marginal Ice Zone

Minki Kim, Georgy E. Manucharyan, Michelle H. DiBenedetto +3

Quantifying kinetic energy (KE) and enstrophy transfer, mixing, and dissipation in the Arctic Ocean is key to understanding polar ocean dynamics, which are critical components of t…

physics.ao-ph2021★ 18 cited

An Efficient and Statistically Accurate Lagrangian Data Assimilation Algorithm with Applications to Discrete Element Sea Ice Models

Nan Chen, Shubin Fu, Georgy E Manucharyan

Lagrangian data assimilation of complex nonlinear turbulent flows is an important but computationally challenging topic. In this article, an efficient data-driven statistically acc…

physics.ao-ph2021

Eddy memory as an explanation of intra-seasonal periodic behavior in baroclinic eddies

Woosok Moon, Georgy E. Manucharyan, Henk A. Dijkstra

The baroclinic annular mode (BAM) is a leading-order mode of the eddy-kinetic energy in the Southern Hemisphere exhibiting. oscillatory behavior at intra-seasonal time scales. The…