The southwestern Atlantic Ocean mesoscale eddies: A review of their role in the air-sea interaction processes

Cabrera, Mylene Jaen; Santini, Marcelo Freitas; Lima, Luciana Shigihara; Carvalho, Jonas T.; Rosa, Eliana B.; Rodrigues, Celina; Pezzi, Luciano Ponzi

doi:10.1016/j.jmarsys.2022.103785

Cited by 8 publications

(4 citation statements)

References 87 publications

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“…In the exchange of information between the models, SST fulfills an important function, being the parameter that the ocean model sends to the atmospheric model (Warner et al, 2010). In addition, SST has been widely studied as a source of MABL modulation, as pointed out in the review articles by Small et al (2008), Cabrera et al (2022), and Seo et al (2023). Therefore, verifying whether the COAWST modeling system correctly simulates this variable is relevant.…”

Section: Methodsmentioning

confidence: 99%

Stability mechanisms and air temperature advection on the marine atmospheric boundary layer modulation at the southwestern Atlantic Ocean

Cabrera

Pezzi

Santini

et al. 2023

Quart J Royal Meteoro Soc

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Hydrostatic adjustment and vertical mixing are the two main mechanisms used to describe the stability of the marine atmospheric boundary layer (MABL) in oceanic regions with intense horizontal temperature gradients. To analyze the occurrence of these mechanisms, we performed simulations using an active coupled regional ocean–atmosphere numerical model in the southwestern Atlantic Ocean (SWA) region in October 2014 in the presence of an atmospheric frontal system. A novel in‐situ dataset was sampled by radiosondes in the Brazil–Malvinas Confluence (BMC) region and used with the model dataset. The vertical mixing mechanism and a prefrontal warm‐air temperature advection were identified, which modulated the shallower and more stable MABL. The hydrostatic adjustment mechanism was not evident because of the near‐surface wind convergence field modification caused by the large‐scale atmospheric system observed in our experiment. The coupled model simulation presented good agreement compared to in‐situ and satellite data. This contribution to the knowledge of the ocean–atmosphere interaction processes at the SWA reinforced that coupled models can be a helpful tool to investigate the air–sea interactions and physical mechanisms that explain MABL stability.

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Section: Methodsmentioning

confidence: 99%

Stability mechanisms and air temperature advection on the marine atmospheric boundary layer modulation at the southwestern Atlantic Ocean

Cabrera

Pezzi

Santini

et al. 2023

Quart J Royal Meteoro Soc

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“…Ocean eddies modulate cloud cover, water content (hence shortwave and longwave radiation), and wind stress over the Southern Ocean (Frenger et al., 2013). Warm core eddies accelerate the winds and increase precipitation, while cold core eddies decelerate the winds and decrease precipitation in the Southern Ocean and other ocean basins (Cabrera et al., 2022; Frenger et al., 2013; Pezzi et al., 2021).…”

Section: Introductionmentioning

confidence: 99%

The Impact of an Antarctic Circumpolar Current Meander on Air‐Sea Interaction and Water Subduction

Vilela‐Silva,

Bindoff,

Phillips

et al. 2024

JGR Oceans

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Standing meanders along the Antarctic Circumpolar Current (ACC) have been shown to be regions of elevated eddy variability, meridional heat transport, and vertical exchange. In this study, we investigate the influence of a standing meander south of Australia on air‐sea heat fluxes, upper ocean structure, and subduction in the 1/10° ACCESS‐OM2 ocean‐sea ice model forced by the JRA55 atmospheric reanalysis. We track the model's Subantarctic and Polar Fronts based on their jet and water mass structure, and produce composites of thermodynamical and dynamical properties of the meander in relaxed and flexed states. The standing meander induces trough‐to‐crest variations in surface heat flux, mixed layer depth (MLD), wind stress curl, vertical velocity, and subduction. At the crests, the ocean loses heat and the mixed layer is deeper; at the troughs, the ocean gains heat and the mixed layer is shallower. Wind stress curl, vertical velocity, and subduction change sign on entering and exiting crests and troughs. Vertical velocity due to the curvature of the meander is an order of magnitude larger than Ekman vertical velocity. The poleward excursion of Polar Front meander crests extends subduction to Antarctic Intermediate Water density classes. Finally, flexing of the meander enhances both air‐sea exchange and vertical velocity. The results show that standing meanders of the ACC influence the distribution and magnitude of air‐sea fluxes of heat and momentum and exchange between the surface and interior ocean.

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“…Their spatial size can reach tens to hundreds of kilometers, and their lifetimes can last tens to hundreds of days (McWilliams, 2008;Morrow and Le Traon, 2012). Ocean eddies greatly influence heat exchange, material transport, sea-air interactions, and atmospheric systems (Wunsch, 1999;Roemmich and Gilson, 2001;Frenger et al, 2013;Cabrera et al, 2022), and are of great research value in the fields of ocean meteorology, ocean hydrology, and ocean acoustics (Falkowski et al, 1991;Le Sommer et al, 2011). At present, ocean eddy detection methods are mainly based on satellite remote sensing data, which have the advantages of being all-weather, large-scale, and time-continuous (Faghmous et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

A lightweight deep learning model for ocean eddy detection

Sun,

Li,

et al. 2023

Front. Mar. Sci.

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Ocean eddies are typical oceanic mesoscale phenomena that are numerous, widely distributed and have high energy. Traditional eddy detection methods are mainly based on physical mechanisms with high accuracy. However, the large number of steps and complex parameter settings limit their applicability for most users. With the rapid development of deep learning techniques, object detection models have been broadly used in the field of ocean remote sensing. This paper proposes a lightweight eddy detection model, ghost eddy detection YOLO (GED-YOLO), based on sea level anomaly data and the “You Only Look Once” (YOLO) series models. The proposed model used ECA+GhostNet as the backbone network and an atrous spatial pyramid pooling network as the feature enhancement network. The ghost eddy detection path aggregation network was proposed for feature fusion, which reduced the number of model parameters and improved the detection performance. The experimental results showed that GED-YOLO achieved better detection precision and smaller parameter size. Its mAP was 95.11% and the parameter size was 22.56 MB. In addition, the test experiment results showed that GED-YOLO had similar eddy detection performance and faster detection speed compared to the traditional physical method.

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The southwestern Atlantic Ocean mesoscale eddies: A review of their role in the air-sea interaction processes

Cited by 8 publications

References 87 publications

Stability mechanisms and air temperature advection on the marine atmospheric boundary layer modulation at the southwestern Atlantic Ocean

Stability mechanisms and air temperature advection on the marine atmospheric boundary layer modulation at the southwestern Atlantic Ocean

The Impact of an Antarctic Circumpolar Current Meander on Air‐Sea Interaction and Water Subduction

A lightweight deep learning model for ocean eddy detection

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