Ocean mesoscale and frontal-scale ocean–atmosphere interactions and influence on large-scale climate: A review

H Seo, LW O'Neill, MA Bourassa, A Czaja… - Journal of …, 2023 - journals.ametsoc.org
Two decades of high-resolution satellite observations and climate modeling studies have
indicated strong ocean–atmosphere coupled feedback mediated by ocean mesoscale …

The Copernicus global 1/12 oceanic and sea ice GLORYS12 reanalysis

L Jean-Michel, G Eric, BB Romain, G Gilles… - Frontiers in Earth …, 2021 - frontiersin.org
GLORYS12 is a global eddy-resolving physical ocean and sea ice reanalysis at 1/12°
horizontal resolution covering the 1993-present altimetry period, designed and implemented …

Human influence on the climate system (Chapter 3)

V Eyring, NP Gillett, KM Achuta Rao, R Barimalala… - 2021 - pure.iiasa.ac.at
The AR5 concluded that human influence on the climate system is clear, evident from
increasing greenhouse gas concentrations in the atmosphere, positive radiative forcing …

Long-term evolution of ocean eddy activity in a warming world

N Beech, T Rackow, T Semmler, S Danilov… - Nature climate …, 2022 - nature.com
Mesoscale ocean eddies, an important element of the climate system, impact ocean
circulation, heat uptake, gas exchange, carbon sequestration and nutrient transport. Much of …

Doubling of surface oceanic meridional heat transport by non-symmetry of mesoscale eddies

H Wang, B Qiu, H Liu, Z Zhang - Nature Communications, 2023 - nature.com
Oceanic transport of heat by ubiquitous mesoscale eddies plays a critical role in regulating
climate variability and redistributing excess heat absorbed by ocean under global warming …

Closing the loops on Southern Ocean dynamics: From the circumpolar current to ice shelves and from bottom mixing to surface waves

LG Bennetts, CJ Shakespeare… - Reviews of …, 2024 - Wiley Online Library
A holistic review is given of the Southern Ocean dynamic system, in the context of the crucial
role it plays in the global climate and the profound changes it is experiencing. The review …

Benchmarking of machine learning ocean subgrid parameterizations in an idealized model

A Ross, Z Li, P Perezhogin… - Journal of Advances …, 2023 - Wiley Online Library
Recently, a growing number of studies have used machine learning (ML) models to
parameterize computationally intensive subgrid‐scale processes in ocean models. Such …

Stable a posteriori LES of 2D turbulence using convolutional neural networks: Backscattering analysis and generalization to higher Re via transfer learning

Y Guan, A Chattopadhyay, A Subel… - Journal of Computational …, 2022 - Elsevier
There is a growing interest in developing data-driven subgrid-scale (SGS) models for large-
eddy simulation (LES) using machine learning (ML). In a priori (offline) tests, some recent …

Convection‐permitting simulations with the E3SM global atmosphere model

PM Caldwell, CR Terai, B Hillman… - Journal of Advances …, 2021 - Wiley Online Library
This paper describes the first implementation of the Δx= 3.25 km version of the Energy
Exascale Earth System Model (E3SM) global atmosphere model and its behavior in a 40 …

[HTML][HTML] Data-driven subgrid-scale modeling of forced Burgers turbulence using deep learning with generalization to higher Reynolds numbers via transfer learning

A Subel, A Chattopadhyay, Y Guan… - Physics of Fluids, 2021 - pubs.aip.org
Developing data-driven subgrid-scale (SGS) models for large eddy simulations (LESs) has
received substantial attention recently. Despite some success, particularly in a priori (offline) …