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Impact of Aquarius sea surface salinity observations on coupled forecasts for the tropical Indo‐Pacific Ocean
Author(s) -
Hackert Eric,
Busalacchi Antonio J.,
BallabreraPoy Joaquim
Publication year - 2014
Publication title -
journal of geophysical research: oceans
Language(s) - English
Resource type - Journals
eISSN - 2169-9291
pISSN - 2169-9275
DOI - 10.1002/2013jc009697
Subject(s) - upwelling , sss* , sea surface temperature , climatology , environmental science , salinity , geology , oceanography , mathematics , mathematical optimization
This study demonstrates the impact of gridded in situ and Aquarius sea surface salinity (SSS) on coupled forecasts for August 2011 until February 2014. Assimilation of all available subsurface temperature (ASSIM_T z ) is chosen as the baseline and an optimal interpolation of all in situ salinity (ASSIM_T z _SSS IS ) and Aquarius SSS (ASSIM_T z _SSS AQ ) are added in separate assimilation experiments. These three are then used to initialize coupled experiments. Including SSS generally improves NINO3 sea surface temperature anomaly validation. For ASSIM_T z _SSS IS , correlation is improved after 7 months, but the root mean square error is degraded with respect to ASSIM_T z after 5 months. On the other hand, assimilating Aquarius gives significant improvement versus ASSIM_T z for all forecast lead times after 5 months. Analysis of the initialization differences with the baseline indicates that SSS assimilation results in an upwelling Rossby wave near the dateline. In the coupled model, this upwelling signal reflects at the western boundary eventually cooling the NINO3 region. For this period, coupled models tend to erroneously predict NINO3 warming, so SSS assimilation corrects this defect. Aquarius is more efficient at cooling the NINO3 region since it is relatively more salty in the eastern Pacific than in situ SSS which leads to increased mixing and upwelling which in turn sets up enhanced west‐to‐east SST gradient and intensified Bjerknes coupling. A final experiment that uses subsampled Aquarius at in situ locations infers that high‐density spatial sampling of Aquarius is the reason for the superior performance of Aquarius versus in situ SSS.

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