Hasson A., Delcroix Thierry, Boutin J., Dussin R., Ballabrera-Poy J. (2014). Analyzing the 2010-2011 La Nina signature in the tropical Pacific sea surface salinity using in situ data, SMOS observations, and a numerical simulation. Journal of Geophysical Research.Oceans, 119 (6), p. 3855-3867. ISSN 2169-9275.
Titre du document
Analyzing the 2010-2011 La Nina signature in the tropical Pacific sea surface salinity using in situ data, SMOS observations, and a numerical simulation
Hasson A., Delcroix Thierry, Boutin J., Dussin R., Ballabrera-Poy J.
Source
Journal of Geophysical Research.Oceans, 2014,
119 (6), p. 3855-3867 ISSN 2169-9275
The tropical Pacific Ocean remained in a La Nina phase from mid-2010 to mid-2012. In this study, the 2010-2011 near-surface salinity signature of ENSO (El Nino-Southern Oscillation) is described and analyzed using a combination of numerical model output, in situ data, and SMOS satellite salinity products. Comparisons of all salinity products show a good agreement between them, with a RMS error of 0.2-0.3 between the thermosalinograph (TSG) and SMOS data and between the TSG and model data. The last 6 months of 2010 are characterized by an unusually strong tripolar anomaly captured by the three salinity products in the western half of the tropical Pacific. A positive SSS anomaly sits north of 10 degrees S (>0.5), a negative tilted anomaly lies between 10 degrees S and 20 degrees S and a positive one south of 20 degrees S. In 2011, anomalies shift south and amplify up to 0.8, except for the one south of 20 degrees S. Equatorial SSS changes are mainly the result of anomalous zonal advection, resulting in negative anomalies during El Nino (early 2010), and positive ones thereafter during La Nina. The mean seasonal and interannual poleward drift exports those anomalies toward the south in the southern hemisphere, resulting in the aforementioned tripolar anomaly. The vertical salinity flux at the bottom of the mixed layer tends to resist the surface salinity changes. The observed basin-scale La Nina SSS signal is then compared with the historical 1998-1999 La Nina event using both observations and modeling.
