activity
20122025
most citedShear-driven parametric instability in a precessing sphere

75 citations · 506 across the 15 of their papers we have counts for

collaborators

15 papers

physics.geo-ph2025

The reflection-transmission problem for inertial waves on geostrophic shear layers

Lennart Kira, Jerome Noir, Daniel Lecoanet

Inertial waves in fluid regions of planets and stars play an important role in their dynamics and evolution, through energy, heat and angular momentum transport and mixing of chemi…

physics.flu-dyn2025★ 2 cited

Geophysical flows over topography, a playground for laboratory experiments

Jérémie Vidal, Jérôme Noir, David Cébron +4

Physicists face major challenges in modelling multi-scale phenomena that are observed in geophysical flows (e.g. in the Earth's oceans and atmosphere, or liquid planetary cores). I…

physics.geo-ph2021★ 45 cited

Fast Quasi-Geostrophic Magneto-Coriolis Modes in the Earth's core

Felix Gerick, Dominique Jault, Jerome Noir

Fast changes of Earth's magnetic field could be explained by inviscid and diffusion-less quasi-geostrophic (QG) Magneto-Coriolis modes. We present a hybrid QG model with columnar f…

physics.flu-dyn2020★ 30 cited

Libration-driven inertial waves and mean zonal flows in spherical shells

Yufeng Lin, Jerome Noir

Several planetary bodies in our solar system undergo a forced libration owing to gravitational interactions with their orbital companions, leading to complex fluid motions in their…

physics.geo-ph2020★ 18 cited

Pressure torque of torsional Alfvén modes acting on an ellipsoidal mantle

F. Gerick, D. Jault, J. Noir +1

We investigate the pressure torque between the fluid core and the solid mantle arising from magnetohydrodynamic modes in a rapidly rotating planetary core. A two-dimensional reduce…

eess.IV2019★ 19 cited

Particle streak velocimetry using Ensemble Convolutional Neural Networks

Alexander V. Grayver, Jerome Noir

This study reports an approach and presents its open-source implementation for quantitative analysis of experimental flows using streak images and Convolutional Neural Networks (CN…