Time‐latitude diagram of Aquarius SSS in the outland‐sea

87 Figure . Aquarius SSS of outland‐seas West Pacific, South China Sea, South Java Sea

3. Conclusion

The seasonal and spatial variability of SSS in the ndonesian Seas were determined. Aquarius displays an annual and seasonalcycle for the ndonesian Seas. Aquarius SSS feature was characterized with the seasonal cycle such as Southeast monsoon and Northwest monsoon and estimated SSS concentrations during January to May give fresher lower thanduring June to November due to rainfall effects. The seasonal variability of SSS in the TF channels was also estimated in the Java Sea, Makassar Strait, Banda and Celebes Seas. As a major transport of TF, these area shows very clear seasonal pattern which also influence by monsoon. These results showed that SSS patterns in these seas might be influenced by El‐Nino‐ Southern Oscillation ENSO phenomena and La‐Nina duringNorthwestMonsoon period which indicated by remarkable freshening in the South China Sea then expand to the Java Sea, Makasar Strait and Banda Sea. 88 Acknowledgments would like to thank the institution that provided the data used in this study: The Aquarius satellite SSS data were supplied through the NASACONAE AquariusSACD Project and can be downloaded from http:podaac.jpl.nasa.gov. would like to thank the CReSOS, University of Udayana that support this study. References Antonov, J. ., D. Seidov, T. P. Boyer, R. A. Locarnini, A. V. Mishonov, . E. Garcia, O. K. Baranova, M. M. Zweng, and D. R. Johnson , World Ocean Atlas , Volume : Salinity, in NOAA Atlas NESDS , edited by S. Levitus, 8 pp., U.S. Gov. Print. Off., Washington, D. C. Font, J., G. S. E. Lagerloef, D. L. Vine, A. Camps, and O. Zanife , The determination of surface salinity with the European SMOS space mission, EEE T. Geosci. Remote, , – . Gierach, M. M., J. Vazquez‐Cuervo, T. Lee, and V. M. Tsontos , Aquarius and SMOS detect effects of an extreme Mississippi river flooding event in the Gulf of Mexico, Geophys. Res. Lett., , 88– , doi: . grl. . Grodsky, S. A., G. Reverdin, J. A. Carton, and V. J. Coles , Year‐to‐year salinity changes in the Amazon plume: Contrasting and AquariusSACD and SMOS satellite datas, Remote Sens. Environ., , – , doi: . j.rse. . 8. . Kohler, J., M. S. Martins, N. Sierra, and D. Stammer , Quality assessment of spaceborne sea surface salinity observations over the northern North Atlantic, Journal of Geophysical Research, , ‐ . Lagerloef, G., et al. 8 , The AquariusSAC‐D Mission: Designed to meet the salinity remote‐ sensing challenge, Oceanography, , 8–8 . Lee, T., G. Lagerloef, .‐Y. Gierach, M. M. and Kao, S. Yueh, and K. Dohan , Aquarius reveals salinity structure of tropical instability waves, Geophys. Res. Lett., , L , doi: . GL . Locarnini, R. A., A. V. Mishonov, J. . Antonov, T. P. Boyer, . E. Garcia, O. K. Baranova, M. M. Zweng, and D. R. Johnson , World Ocean Atlas , Volume : Temperature, in NOAA Atlas NESDS 8, edited by S. Levitus, 8 pp., U.S. Gov. Print. Off., Washington, D. C. Menezes, V. V., M. L. Vianna, and . E. Phillips , Aquarius sea surface salinity in the South ndian Ocean: Revealing annual‐period planetary waves, J. Geophys. Res. Oceans, , 88 – 8, doi: . JC . Roemmich, D., and J. Gilson , The – 8 mean and annual cycle of temperature, salinity, and steric height in the global ocean from the Argo program, Prog. Oceanogr., 8 , 8 – , doi: . j.pocean. . . . Sprintall, J., J. T. Potemra, S. L. autala, N. A. Bray, and W. W. Pandoe , Temperature and salinity variability in the exit passages of the ndonesian Throughflow, Deep Sea Res., Part , , 8 – , doi: . s ‐ ‐ . Webster, P., V. Magana, T. Palmer, J. Shukla, R. Tomas, M. Yanai, and T. Yasunari 8 , Monsoons: processes, predictability, and the prospects for prediction, Journal of Geophysical Research , , – , .