The salinity signature of the cross-shelf exchanges in the Southwestern Atlantic Ocean: Satellite observations
نویسندگان
چکیده
Satellite-derived sea surface salinity (SSS) data from Aquarius and SMOS are used to study the shelf-open ocean exchanges in the western South Atlantic near 35°S. Away from the tropics, these exchanges cause the largest SSS variability throughout the South Atlantic. The data reveal a well-defined seasonal pattern of SSS during the analyzed period and of the location of the export of low-salinity shelf waters. In spring and summer, low-salinity waters over the shelf expand offshore and are transferred to the open ocean primarily southeast of the river mouth (from 36°S to 37°30'S). In contrast, in fall and winter, low-salinity waters extend along a coastal plume and the export path to the open ocean distributes along the offshore edge of the plume. The strong seasonal SSS pattern is modulated by the seasonality of the along-shelf component of the wind stress over the shelf. However, the combined analysis of SSS, satellite-derived sea surface elevation and surface velocity data suggest that the precise location of the export of shelf waters depends on offshore circulation patterns, such as the location of the Brazil Malvinas Confluence and mesoscale eddies and meanders of the Brazil Current. The satellite data indicate that in summer, mixtures of low-salinity shelf waters are swiftly driven toward the ocean interior along the axis of the Brazil/Malvinas Confluence. In winter, episodic wind reversals force the low-salinity coastal plume offshore where they mix with tropical waters within the Brazil Current and create a warmer variety of low-salinity waters in the open ocean. KEY POINTS Satellite salinity sensors capture low-salinity detrainment events from shelves SW Atlantic low-salinity detrainments cause highest basin-scale variability In summer low-salinity detrainments cause extended low-salinity anomalies.
منابع مشابه
The salinity signature of the cross-shelf exchanges in the Southwestern Atlantic Ocean: Numerical simulations
A high-resolution model is used to characterize the dominant patterns of sea surface salinity (SSS) variability generated by the freshwater discharges of the Rio de la Plata (RdlP) and the Patos/Mirim Lagoon in the southwestern Atlantic region. We identify three dominant modes of SSS variability. The first two, which have been discussed in previous studies, represent the seasonal and the intera...
متن کاملA curious local surface salinity maximum in the northwestern tropical Atlantic
[1] Sea surface salinity (SSS) measurements from the Aquarius/SAC-D satellite reveal the seasonal development of a local salinity maximum in the northwestern tropical Atlantic in boreal winter to early spring. This seasonal tropical SSS maximum, which is confirmed by comparison to in situ observations, is centered at 8 N, and is up to 0.5 psu saltier than the surrounding water despite its locat...
متن کاملAircraft and in Situ Salinity and Ocean Color Measurements: Bridging the Satellite Salinity Coastal Gap
New microwave salinity measuring satellites (SMOS, launched Nov, 2009 and AQUARIUS, to be launched spring 2010) have relatively large pixel size (35-80 km). This does affect their primary ocean missionglobal open ocean salinity measurements on a monthly time scale, to a limited extent. However, the large pixel size has a dramatic effect on measurements near the coast. It requires a large coasta...
متن کاملAn assessment of the skill of real-time models of Mid-Atlantic Bight continental shelf circulation
[1] Prescribing open boundary conditions for regional coastal ocean models encounters the challenge of imposing information on sea level, velocity and tracers that characterize the unrepresented far field ocean. Deriving such information from a larger domain model without communicating information from the ‘‘nested’’ model back to the exterior model is ‘‘downscaling’’. We evaluate whether real-...
متن کاملContributions of Atlantic Ocean to June-August Rainfall over Uganda and Western Kenya
This study investigates the contributions of Atlantic Ocean to June-August rainfall over Uganda and western Kenya (KU). The study has utilized the datasets including precipitation from the Global Precipitation Climatology Centre, North Atlantic Oscillation Index (NAOI), South Atlantic Ocean Dipole Index (SAODI), ERA-interim reanalysis, and the Atlantic Ocean Sea Surface Temperature (SST). Singu...
متن کامل