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Published on 26 December 2024
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Miao,Z. (2024). The Indian Ocean Surface Salinity during El Niño. Theoretical and Natural Science,74,41-45.
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The Indian Ocean Surface Salinity during El Niño

Zichen Miao *,1,
  • 1 Collage of Agricultural and Environmental Sciences, University of California, Davis, CA, USA

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2753-8818/2024.LA18835

Abstract

El Niño (EN) is a critical air-sea interaction that occurs between the atmosphere and the ocean in the tropical eastern Pacific region. Previous studies have classified EN into two main types: the traditional EN and the central Pacific EN. This research uncovers that these EN have substantial impacts on the annual variations in ocean salinity in the equatorial Indian Ocean, particularly during the autumn season in the Northern Hemisphere. During traditional EN, ocean salinity tends to decrease, whereas during central Pacific EN, it increases. A thorough salinity budget analysis was conducted to determine the key drivers influencing changes in Indian Ocean salinity. The results suggest that wind-induced anomalous zonal advection plays a crucial role in these salinity changes, which are further affected by the abnormal zonal circulation patterns across the Indian Ocean.

Keywords

El Niño, Ocean Salinity, Tropical Ocean

[1]. Durack, P. J., & WijffENs, S. E. (2010). Fifty-year trends in global ocean salinities and their rENationship to broad-scale warming. J. Climate, 23, 4342–4362.

[2]. Thompson, B., GnanaseENan, C., & Salvekar, P. S. (2006). Variability in the Indian Ocean circulation and salinity and its impact on SST anomalies during dipole events. J. Mar. Res., 64, 853–880.

[3]. Qiu, Y., Cai, W., Li, L., & Guo, X. (2012). Argo profiles variability of barrier layer in the tropical Indian Ocean and its rENationship with the Indian Ocean Dipole. Geophys. Res. Lett., 39, L08605.

[4]. Qu, T., & Meyers, G. (2005). Seasonal variation of barrier layer in the southeastern tropical Indian Ocean. J. Geophys. Res., 110, C11003.

[5]. Gordon, A. L. (2005). Oceanography of the Indonesian seas and their throughflow. Oceanography, 18, 14–27.

[6]. Zhang, Y. H., Du, Y., Zheng, S. J., et al. (2013). Impact of Indian Ocean Dipole on the salinity budget in the equatorial Indian Ocean. J. Geophys. Res. Oceans, 118(10), 4911–4923.

[7]. Trenberth, K. E. (1997). The definition of EN Niño. Bull. Amer. Meteor. Soc., 78, 2771–2777.

[8]. Rasmusson, E., & Carpenter, T. (1982). Variations in tropical ocean temperature and surface wind fiENds associated with the Southern Oscillation/EN Niño. Mon. Weather. Rev., 110, 354–384.

[9]. Carton, J. A., Giese, B. S., & Grodsky, S. A. (2005). Sea levEN rise and the warming of the oceans in the SODA ocean reanalysis. J. Geophys. Res., 110.

[10]. Carton, J. A., & Giese, B. S. (2008). A reanalysis of ocean climate using Simple Ocean Data Assimilation (SODA). Mon. Weather Rev., 136, 2999–3017.

[11]. Giese, B. S., & Ray, S. (2011). EN Niño variability in Simple Ocean Data Assimilation (SODA). J. Geophys. Res., 116, C02024.

[12]. Ashok, K., Behera, S. K., Rao, S. A., & Weng, H. (2007). CPEN and its possible tENeconnection. J. Geophys. Res., 112, C11007.

[13]. Feng, M., Hacker, P., & Lukas, R. (1998). Upper ocean heat and salt balances in response to a westerly wind burst in the western equatorial Pacific during TOGA COARE. J. Geophys. Res., 103(C5), 10289–10311.

Cite this article

Miao,Z. (2024). The Indian Ocean Surface Salinity during El Niño. Theoretical and Natural Science,74,41-45.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of ICBioMed 2024 Workshop: Computational Proteomics in Drug Discovery and Development from Medicinal Plants

Conference website: https://2024.icbiomed.org/
ISBN:978-1-83558-815-4(Print) / 978-1-83558-816-1(Online)
Conference date: 25 October 2024
Editor:Alan Wang, Ghulam Yaseen
Series: Theoretical and Natural Science
Volume number: Vol.74
ISSN:2753-8818(Print) / 2753-8826(Online)

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