Data reconstruction for complex flows using AI: Recent progress, obstacles, and perspectives

M Buzzicotti - Europhysics Letters, 2023 - iopscience.iop.org
In recent years the fluid mechanics community has been intensely focused on pursuing
solutions to its long-standing open problems by exploiting the new machine learning (ML) …

Global cascade of kinetic energy in the ocean and the atmospheric imprint

BA Storer, M Buzzicotti, H Khatri, SM Griffies… - Science …, 2023 - science.org
Here, we present an estimate for the ocean's global scale transfer of kinetic energy (KE),
across scales from 10 to 40,000 km. Oceanic KE transfer between gyre scales and …

Deep learning improves global satellite observations of ocean eddy dynamics

SA Martin, GE Manucharyan… - Geophysical Research …, 2024 - Wiley Online Library
Ocean eddies affect large‐scale circulation and induce a kinetic energy cascade through
their non‐linear interactions. However, since global observations of eddy dynamics come …

Eddy activity in the Arctic Ocean projected to surge in a warming world

X Li, Q Wang, S Danilov, N Koldunov, C Liu… - Nature Climate …, 2024 - nature.com
Ocean eddies play a critical role in climate and marine life. In the rapidly warming Arctic, little
is known about how ocean eddy activity will change because existing climate models cannot …

A more quiescent deep ocean under global warming

S Wang, Z Jing, L Wu, S Sun, Z Chen, X Ma… - Nature Climate …, 2024 - nature.com
The ocean is a magnificent reservoir of kinetic energy possessed by currents at diverse
spatio-temporal scales. These currents transport heat and material, regulating the regional …

Multi-scale reconstruction of turbulent rotating flows with proper orthogonal decomposition and generative adversarial networks

T Li, M Buzzicotti, L Biferale, F Bonaccorso… - Journal of Fluid …, 2023 - cambridge.org
Data reconstruction of rotating turbulent snapshots is investigated utilizing data-driven tools.
This problem is crucial for numerous geophysical applications and fundamental aspects …

Measuring scale-dependent shape anisotropy by coarse-graining: Application to inhomogeneous Rayleigh-Taylor turbulence

D Zhao, H Aluie - Physical Review Fluids, 2023 - APS
We generalize the “filtering spectrum” to probe scales along different directions by spatial
coarse-graining. This multidimensional filtering spectrum quantifies the spectral content of …

Multi-scale reconstruction of turbulent rotating flows with generative diffusion models

T Li, AS Lanotte, M Buzzicotti, F Bonaccorso, L Biferale - Atmosphere, 2023 - mdpi.com
We address the problem of data augmentation in a rotating turbulence set-up, a
paradigmatic challenge in geophysical applications. The goal is to reconstruct information in …

A simple approach for disentangling vortical and wavy motions of oceanic flows

C Wang, Z Liu, H Lin - Journal of Physical Oceanography, 2023 - journals.ametsoc.org
A long-standing challenge in dynamical oceanography is to distinguish nonlinearly
intermingled dynamical regimes of oceanic flows. Conventional approaches focus on time …

[PDF][PDF] FlowSieve: A coarse-graining utility for geophysical flows on the sphere

BA Storer, H Aluie - Journal of Open Source Software, 2023 - joss.theoj.org
Ocean and atmosphere dynamics span an incredibly wide range of spatial and temporal
scales, with spatial scales ranging from the sub-millimetre viscous scales all the way up to …