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) …
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
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 …
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 …
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
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 …
is known about how ocean eddy activity will change because existing climate models cannot …
A more quiescent deep ocean under global warming
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 …
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
Data reconstruction of rotating turbulent snapshots is investigated utilizing data-driven tools.
This problem is crucial for numerous geophysical applications and fundamental aspects …
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 …
coarse-graining. This multidimensional filtering spectrum quantifies the spectral content of …
Multi-scale reconstruction of turbulent rotating flows with generative diffusion models
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 …
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 …
intermingled dynamical regimes of oceanic flows. Conventional approaches focus on time …
[PDF][PDF] FlowSieve: A coarse-graining utility for geophysical flows on the sphere
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 …
scales, with spatial scales ranging from the sub-millimetre viscous scales all the way up to …