Modeling the South Atlantic Ocean From Medium to High-Resolution

Gabioux, Mariela; Costa, Victor; Souza, João Marcos Azevedo Correia de; Oliveira, Bruna Faria de; Paiva, Afonso M.

doi:10.22564/rbgf.v31i2.291

Cited by 13 publications

(5 citation statements)

References 18 publications

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“…The choice for the northern limit at 50 • N was based on two facts. First, the surface currents are primarily zonal at this latitude (Gabioux et al, 2013). Second, the purpose of this grid is to provide reasonable boundary conditions to higher-resolution grids that will soon be configured along the Brazilian coast, which is the area of main interest to REMO and far away from the northern boundary.…”

Section: Introductionmentioning

confidence: 99%

“…On the lateral boundaries, relaxation to monthly climatological temperature and salinity from Levitus (1982) was applied considering the outermost 10 grid cells and the timescale of 30 days. This approach attempts to preserve climatological shear through geostrophic adjustment and has been successfully used in previous works (e.g., Paiva and Chassignet, 2001;Gabioux et al, 2013). Constant barotropic volume fluxes were imposed: zero flux in the north, eastward flux of 110 Sv in the Drake Passage, westward flux of 10 Sv in 12 grid points adjacent to South Africa along 20 • E, and eastward flux of 120 Sv further south to Antarctica.…”

Section: Introductionmentioning

confidence: 99%

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Argo data assimilation into HYCOM with an EnOI method in the Atlantic Ocean

et al. 2015

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Abstract. An ocean data assimilation system to assimilate Argo temperature (T ) and salinity (S) profiles into the HYbrid Coordinate Ocean Model (HYCOM) was constructed, implemented and evaluated for the first time in the Atlantic Ocean (78 • S to 50 • N and 98 • W to 20 • E). The system is based on the ensemble optimal interpolation (EnOI) algorithm proposed by Xie and Zhu (2010), especially made to deal with the hybrid nature of the HYCOM vertical coordinate system with multiple steps. The Argo T -S profiles were projected to the model vertical space to create pseudoobserved layer thicknesses ( p obs ), which correspond to the model target densities. The first step was to assimilate p obs considering the sub-state vector composed by the model layer thickness ( p) and the baroclinic velocity components. After that, T and S were assimilated separately. Finally, T was diagnosed below the mixed layer to preserve the density of the model isopycnal layers. Five experiments were performed from 1 January 2010 to 31 December 2012: a control run without assimilation, and four assimilation runs considering the different vertical localizations of T , S and p. The assimilation experiments were able to significantly improve the thermohaline structure produced by the control run. They reduced the root mean square deviation (RMSD) of T and S calculated with respect to Argo independent data in 34 and 44 %, respectively, in comparison to the control run. In some regions, such as the western North Atlantic, substantial corrections in the 20 • C isotherm depth and the upper ocean heat content towards climatological states were achieved.The runs with a vertical localization of p showed positive impacts in the correction of the thermohaline structure and reduced the RMSD of T (S) from 0.993 • C (0.149 psu) to 0.905 • C (0.138 psu) for the whole domain with respect to the other assimilation runs.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Argo data assimilation into HYCOM with an EnOI method in the Atlantic Ocean

et al. 2015

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“…The Southeastern Brazilian Continental Shelf exhibits a highly barotropic response to low-frequency wind forcing, as demonstrated by Stech and Lorenzzetti [64]. Previous studies by Zamudio et al [65] and Gabioux et al [44] have highlighted some underestimation in the sea level's amplitude when simulating coastal trapped waves using the HYCOM, with differences in sea levels of approximately 0.15 m.…”

Section: Comparison Of Water Level Signal With Available Datamentioning

confidence: 85%

“…The model domain and grid resolution vary, with resolutions ranging from 530 to 2060 m, as indicated in Figure 1. Boundary conditions for the coastal model (elevation and barotropic velocity) were derived from the results of a numerical simulation carried out with the HYCOM developed at the Physical Oceanography Laboratory of COPPE/UFRJ [44,45] within the context of the REMO Project [46], a Brazilian initiative in operational oceanography. These results correspond to a synoptic and assimilative nested simulation with high spatial resolution (1/24 • ).…”

Section: Hydrodynamic Numerical Modellingmentioning

confidence: 99%

Meteorological Signal on Hydrodynamics in the Ilha Grande and Sepetiba Bays: Lag Effects and Coastal Currents

Pereira,

Vinzón,

Gallo

et al. 2024

Hydrology

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On the southeastern coast of Brazil, the bays of Ilha Grande and Sepetiba are linked by the Ilha Grande Channel, where remarkably strong currents have been consistently observed. Tidal forces cannot explain the strength of these currents. Previous researchers have focused on investigating factors like baroclinic effects due to salinity differences or seiches between two basins without a conclusive answer. This study aims to elucidate the role of remote meteorological effects within this complex hydrodynamic system. A numerical approach with a coastal model nested within an ocean model was employed, enabling an in-depth examination of the intricate interplay between meteorological and tidal forcings. The study revealed a significant finding: the lag in signal propagation plays a pivotal role in determining how these signals impact the dynamics of the bays. The astronomical signal exhibits a minimal lag along the coast (1 min) and leads to water level differences between the sea and the coastline, resulting in the generation of tidal currents at the bay entrances. On the other hand, the remote meteorological signal, with a stronger signal lag along the coast (4.92 h), leads to the creation of a water level difference between the bay entrances, inducing significant fluxes along the narrow Ilha Grande Channel.

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“…A suite of nested model configurations, mostly based on the Hybrid Coordinate Ocean Model -HYCOM (Bleck, 2002) has been developed and is continuously updated by REMO (Gabioux et al, 2013;Lima et al, 2013). The most recent configuration adopted within the basic REMO strategy has been to simulate the entire North, Equatorial, and South Atlantic with eddy-resolving 1/12 o horizontal resolution, to generate lateral boundary conditions for a regional domain grid covering the METAREA-V with a horizontal resolution of 1/24 o (Figure 2).…”

Section: The Oceanographic Modeling and Observation Network (Remo)mentioning

confidence: 99%

Coastal Ocean Observing and Modeling Systems in Brazil: Initiatives and Future Perspectives

et al. 2021

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Coastal ocean observing and modeling systems (coastal observatories), connected with regional and global ocean systems, improve the quality of information and forecasts for effective management of safe and sustainable maritime activities. The public availability of systematic and long-term information of the ocean is an engine for the Blue Economy, boosting economic growth, employment, and innovation. An overview of some Brazilian initiatives is presented in this paper, involving universities, private companies, federal and state agencies, covering institutions from south to north of Brazil. Although these initiatives focus mainly on ocean physics, integrated efforts can extend the scope to include biogeochemistry and marine biodiversity, helping to address interdisciplinary problems. Existing initiatives can be connected, and new ones fostered, to fill in the gaps of temporal and spatial coverage of ocean monitoring in the vast oceanic area under Brazilian jurisdiction (nationally referred to as the Blue Amazon, in reference to the similar richness of the Amazon Forest). The alignment among national and regional initiatives, as well as with international programs, can be promoted if coordinated by a national-level organization, maximizing the return of public investment and socioeconomic benefits. In light of international examples, possible future institutional arrangements are discussed, leveraging from existing national public policies and international cooperation that Brazil is taking part. The United Nations Decade of Ocean Science for Sustainable Development is a timely opportunity to encourage an institutional arrangement to support and articulate an integrated network of coastal observatories in Brazil.

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Modeling the South Atlantic Ocean From Medium to High-Resolution

Cited by 13 publications

References 18 publications

Argo data assimilation into HYCOM with an EnOI method in the Atlantic Ocean

Argo data assimilation into HYCOM with an EnOI method in the Atlantic Ocean

Meteorological Signal on Hydrodynamics in the Ilha Grande and Sepetiba Bays: Lag Effects and Coastal Currents

Coastal Ocean Observing and Modeling Systems in Brazil: Initiatives and Future Perspectives

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