Eastward propagating surface salinity anomalies in the tropical North Atlantic

International audience Upper ocean variations across the tropical Atlantic are strongly seasonal due to corresponding seasonality in surface forcing and continental runoff. This implies that many features in regional upper ocean state or transport anomalies may also be seasonally locked. In the bore...

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Bibliographic Details
Published in:Remote Sensing Letters
Main Authors: Grodsky, Semyon A., Reul, Nicolas, Bentamy, Abderrahim, Vandemark, Douglas
Other Authors: Laboratoire d'Océanographie Physique et Spatiale (LOPS), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2022
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Online Access:https://hal.science/hal-04203727
https://hal.science/hal-04203727/document
https://hal.science/hal-04203727/file/91488.pdf
https://doi.org/10.1080/2150704X.2022.2032452
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Summary:International audience Upper ocean variations across the tropical Atlantic are strongly seasonal due to corresponding seasonality in surface forcing and continental runoff. This implies that many features in regional upper ocean state or transport anomalies may also be seasonally locked. In the boreal summer and autumn, remote sensing sea surface salinity (SSS) observations show the presence of eastward propagating anomalies concurrent with the seasonal development of fresh Amazon plume and acceleration of the eastward North Equatorial Countercurrent. Interannual variations in these eastward cross-Atlantic SSS signals are investigated in connection with their forcing by wind and circulation patterns. Satellite data show that these SSS anomalies are advected zonally across the entire Atlantic. It is suggested that they originate due to wind-induced changes in the Amazon plume areal extent, which are notorious in the North Brazil Current retroflection. Satellite SSS is instrumental for exploring such signals because in-situ observations do not always capture them due to the limitation in resolved spatial and temporal scales.