1991
DOI: 10.1029/91jc02124
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Seasonal and interannual variations of sea surface salinity in the tropical Pacific Ocean

Abstract: Sea surface bucket measurements, obtained through a ship‐of‐opportunity program, are used to describe the sea surface salinity (SSS) field for the tropical Pacific during the period 1969–1988. Emphasis is placed upon the mean SSS distribution and the seasonal and interannual SSS variability occurring along four well‐sampled shipping tracks. These tracks extend from New Zealand to Japan, from New Zealand to Hawaii, from Tahiti to California, and from Tahiti to Panama. They cross the equator at 155°E, 160°W, 140… Show more

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Cited by 186 publications
(143 citation statements)
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“…Comparing with seasonal SSS variability which is primarily dominated by E-P forcing according to previous studies [e.g., Delcroix and Henin, 1991;Delcroix et al, 1996;Hénin et al, 1998], our analysis demonstrate that ocean dynamics is of higher-level of importance at interannual time scale. In the central Pacific, meridional Ekman advection -V E S y and E-P forcing are both important in producing and maintaining the low-frequency, large-magnitude SSS anomalies, and the two effects are also both closely associated with ENSO events.…”
Section: Discussionmentioning
confidence: 82%
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“…Comparing with seasonal SSS variability which is primarily dominated by E-P forcing according to previous studies [e.g., Delcroix and Henin, 1991;Delcroix et al, 1996;Hénin et al, 1998], our analysis demonstrate that ocean dynamics is of higher-level of importance at interannual time scale. In the central Pacific, meridional Ekman advection -V E S y and E-P forcing are both important in producing and maintaining the low-frequency, large-magnitude SSS anomalies, and the two effects are also both closely associated with ENSO events.…”
Section: Discussionmentioning
confidence: 82%
“…Figure 1a shows the standard deviation (STD) of SSS (represented by 10 dbar salinity), which is low-passed with a 13 month running mean filter to underscore interannual signals. The strongest SSS variability appears in the far western equatorial Pacific, with STD > 0.2 (psu) and extending southeastward to the SPCZ, which has been investigated by previous studies [e.g., Delcroix and Henin, 1991;Delcroix et al, 2011;Singh et al, 2011]. Another relative maximum of variability occurs in the tropical North Pacific (TNP) between 7 N-15 N with STD > 0.15 near the dateline, and extends westward.…”
Section: Introductionmentioning
confidence: 98%
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“…An increase in salinity will cause water to be heavier and it will tend to counteract part of the thermal expansion due to increased warming; a decrease in salinity will cause water to be lighter and it will tend to reinforce the thermal expansion due to increased warming. Observations in the warm pool indicate that there are large interannual variations in salinity connected with ENSO, with salinity increasing from the E1 Nifio to the La Nifia phase of the ENSO cycle [Delcroix and Henin, 1991]. Since the cycle from.1993 to 1996 was from E1 Nifio to La Nifia, we investigated whether this could account for the discrepancy between the TOPEX and TAO measurements.…”
Section: Data Processingmentioning
confidence: 99%
“…The total heat content was computed from averaged-daily temperatures (T) at each level (h) as We have minimized this error by computing TOPEX sea level anomalies relative to a high-resolution mean sea surface (MSS). The MSS has a 1-s along-track resolution and each 1-s bin is a plane for which the along-track gradient, cross-track gradient, and mean height at the centerof the bin have been estimated from all the available data, after removing any linear trend as well as annual and semiannual variability [Chambers et al, 1998b [Delcroix and Henin, 1991], but this will not have a significant effect on the calculation of stored heat from the TAO buoys. It will, however, cause an additional signal in the TOPEX data that is not related to heat storage, which will cause a disagreement between the TOPEX and TAO measurements.…”
Section: Data Processingmentioning
confidence: 99%