Atmosphere Response to an Oceanic Submesoscale SST Front: A Coherent Structure Analysis

Abstract The atmosphere response to oceanic submesoscale sea surface temperature (SST) fronts is neither resolved by operational nor climate models. Above the ocean, the atmospheric boundary layer (ABL) is in a convective regime and its turbulence levels and structure are altered by the SST variations. Using large eddy simulations, we investigate an ABL flowing above a 1D oceanic submesoscale SST front. The organization of atmospheric turbulence evolves from rolls to a cell‐roll transition state but with a 3.5 km delay due to the strong advection. The SST gradient imprints on the atmosphere, creating a pressure gradient that accelerates the flow at all altitudes. On warm water, horizontal wind in the lower half of the ABL increases mainly due to turbulent mixing. Most of the flow is resolved, and we relate statistical quantities to coherent structures using a conditional sampling. The SST increase strengthens updrafts, whereas a downward motion develops in response, transporting high wind from the upper to the lower layers of the ABL. We show that this descending flow is not a downdraft but rather a less turbulent object similar to an enhanced compensating subsidence, which could be parametrized by a mass‐flux term. The intense updrafts overshoot the boundary layer height and could trigger convection with moister environmental conditions.

Authors

Institutions

Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2025-02-11
DOI
https://doi.org/10.1029/2024jd042312
Citations
2
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
2.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Atmosphere Response to an Oceanic Submesoscale SST Front: A Coherent Structure Analysis

Alex Ayet, Fleur Couvreux, Hugo Jacquet
2 citations
Journal of Geophysical Research Atmospheres
Climate variability and models
2.21
article

Atmosphere Response to an Oceanic Submesoscale SST Front: A Coherent Structure Analysis

Alex Ayet, Fleur Couvreux, Hugo Jacquet
article en
2 citations

Abstract

Abstract The atmosphere response to oceanic submesoscale sea surface temperature (SST) fronts is neither resolved by operational nor climate models. Above the ocean, the atmospheric boundary layer (ABL) is in a convective regime and its turbulence levels and structure are altered by the SST variations. Using large eddy simulations, we investigate an ABL flowing above a 1D oceanic submesoscale SST front. The organization of atmospheric turbulence evolves from rolls to a cell‐roll transition state but with a 3.5 km delay due to the strong advection. The SST gradient imprints on the atmosphere, creating a pressure gradient that accelerates the flow at all altitudes. On warm water, horizontal wind in the lower half of the ABL increases mainly due to turbulent mixing. Most of the flow is resolved, and we relate statistical quantities to coherent structures using a conditional sampling. The SST increase strengthens updrafts, whereas a downward motion develops in response, transporting high wind from the upper to the lower layers of the ABL. We show that this descending flow is not a downdraft but rather a less turbulent object similar to an enhanced compensating subsidence, which could be parametrized by a mass‐flux term. The intense updrafts overshoot the boundary layer height and could trigger convection with moister environmental conditions.

Journal of Geophysical Research AtmospheresVol. 130(4)
Institut polytechnique de Grenoble (FR), Centre National de la Recherche Scientifique (FR), Université Fédérale de Toulouse Midi-Pyrénées (FR), Centre Inria de l'Université Grenoble Alpes (FR), Météo-France (FR), Institut des Géosciences de l'Environnement (FR), GIPSA-Lab (FR), Université Grenoble Alpes (FR)
Agence Nationale de la Recherche, Centre National d’Etudes Spatiales, Centre National de la Recherche Scientifique
Life below water
Openalex Percentile: Top 16%
Climate variability and models
2.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.