Sea surface height trend and variability at seasonal and interannual time scales in the Southeastern South American continental shelf between 27°S and 40°S

Publicado en Continental Shelf Research, v. 91
Autores

Saraceno, M., Simionato, C.G. and Ruiz-Etcheverry, L.A.
Año de publicación 2014
DOI https://doi.org/10.1016/j.csr.2014.09.002
Afiliaciones
  • Centro de Investigaciones del Mar y la Atmósfera CIMA/CONICET-UBA, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Ciudad Universitaria, Pabellón II, 2do piso, Ciudad Autónoma de Buenos Aires C1428EGA, Argentina
  • Departamento de Ciencias de la Atmósfera y de los Océanos DCAO/FCEN, UBA, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Ciudad Universitaria, Pabellón II, 2do piso, Ciudad Autónoma de Buenos Aires C1428EGA, Argentina
  • Unité Mixte International UMI IFAECI 3351 CNRS-CONICET-UBA, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Ciudad Universitaria, Pabellón II, 2do piso, Ciudad Autónoma de Buenos Aires C1428EGA, Argentina
Programa

CRN3
Proyecto CRN3070
Keywords
Sea surface height
Altimetry
Seasonal cycle
Trend
Rio de la Plata
estuarine

Highlights

•We studied satellite derived gridded sea surface height (SSH).

•We studied SSH in the Southeastern American continental shelf.

•Solar radiation and wind forcing explain up to 98% of the seasonal SSH variability.

•Wind forcing represents most of the seasonal SSH variability in South Brazil.

•ENSO may explain SSH variability at interannual scales.

Abstract

Recent improvements in satellite altimetry data correction terms are encouraging studies of the remote sensed sea level anomalies (SLA) progressively closer to the coast and over shallow continental shelves. In this paper we describe and discuss the SLA trend and variability at seasonal and interannual time scales in the southeastern South American continental shelf influenced by the Río de la Plata estuary and the Patos Lagoon fresh waters. The spatio-temporal coverage of the gridded altimetry SLA data allows identify several variability patterns and the associated physical processes. On seasonal time scales, the combination of the solar radiation and wind forcing cycles accounts for up to 98% of the variability. Seasonal variability of the wind is responsible for a difference of up to 16 cm between the southern (Argentinean) Río de la Plata estuary coast and the Uruguayan and southern Brazilian coasts. On interannual time scales, positive/negative SLA anomalies are coherent with El Niño/La Niña events. Finally, a significant positive trend of up to 5 mm yr&minus1 is found in all the study area except in the region around the Patos Lagoon (Brazil) and part of the Río de la Plata. Besides the local relevance of the results, this study indicates that satellite altimetry data are accurate enough to unveil SLA spatio-temporal patterns close to the coast and over continental shelves in the mentioned time scales.