Modal recovery of sea-level variability in the South China Sea using merged altimeter data

Haoyu Jiang; Ge Chen

doi:10.1007/s00343-015-4110-1

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Modal recovery of sea-level variability in the South China Sea using merged altimeter data

OriginalPaper | Updated：2023-05-16

- Modal recovery of sea-level variability in the South China Sea using merged altimeter data
- Modal recovery of sea-level variability in the South China Sea using merged altimeter data
- 海洋湖沼学报（英文） 2015年33卷第5期页码：1233-1244
- Affiliations：
  
  Qingdao Collaborative Innovation Center of Marine Science and Technology College of Information Science and Engineering Ocean University of China
- Author bio：
- Funds：
  
  Supported by the National Natural Science Foundation of China (Nos. 41331172, U1406404) and the National High Technology Research and Development Program of China (863 Program) (No. 2013AA09A505)
- DOI：10.1007/s00343-015-4110-1
  中图分类号：
- 网络首发：2014-12-10，
  
  纸质出版：2015
- Accepted：
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Modal recovery of sea-level variability in the South China Sea using merged altimeter data[J]. 海洋湖沼学报（英文）, 2015,33(5):1233-1244.

Jiang, H., Chen, G. Modal recovery of sea-level variability in the South China Sea using merged altimeter data., Chin. J. Ocean. Limnol. 33, 1233–1244 (2015). https://doi.org/10.1007/s00343-015-4110-1
Modal recovery of sea-level variability in the South China Sea using merged altimeter data[J]. 海洋湖沼学报（英文）, 2015,33(5):1233-1244. DOI： 10.1007/s00343-015-4110-1.

Jiang, H., Chen, G. Modal recovery of sea-level variability in the South China Sea using merged altimeter data., Chin. J. Ocean. Limnol. 33, 1233–1244 (2015). https://doi.org/10.1007/s00343-015-4110-1 DOI：

摘要

Abstract

Using 20 years (1993–2012) of merged data recorded by contemporary multi-altimeter missions

a variety of sea-level variability modes are recovered in the South China Sea employing three-dimensional harmonic extraction. In terms of the long-term variation

the South China Sea is estimated to have a rising sea-level linear trend of 5.39 mm/a over these 20 years. Among the modes extracted

the seven most statistically significant periodic or quasi-periodic modes are identified as principal modes. The geographical distributions of the magnitudes and phases of the modes are displayed. In terms of intraannual and annual regimes

two principal modes with strict semiannual and annual periods are found

with the annual variability having the largest amplitudes among the seven modes. For interannual and decadal regimes

five principal modes at approximately 18

and 112 months are found with the most mode-active region being to the east of Vietnam. For the phase distributions

a series of amphidromes are observed as twins

termed “amphidrome twins”

comprising rotating dipole systems. The stability of periodic modes is investigated employing joint spatiotemporal analysis of latitude/longitude sections. Results show that all periodic modes are robust

revealing the richness and complexity of sea-level modes in the South China Sea.

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references

AVISO. 2013. SSALTO/DUACS User Handbook: (M)SLA and (M)ADT Near-Real Time and Delayed Time Products, CLS-DOS-NT-06-034, Edition 033.036, France: Ramonville St.Agne. 58p.

Cazenave A, Llovel W. 2010. Contemporary sea level rise. Annu. Rev. Mar. Sci., 2: 145–173.

Chen G, Li H. 2008. Fine pattern of natural modes in sea surface temperature variability: 1985–2003. J. Phys. Oceanogr., 38: 314–336.

Chen G, Qian C, Zhang C. 2012. New insights into annual and semiannual cycles of sea level pressure. Mon. Weather Rev., 140: 1347–1355.

Chen G, Quartly G D. 2005. Annual amphidromes: a common feature in the ocean? IEEE GeoSci. Remote S., 2: 423–427.

Chen G, Wang Z, Qian C, Lv C, Han Y. 2010. Seasonal-todecadal modes of global sea level variability derived from merged altimeter data. Remote Sens. Environ., 114: 2524–2535.

Chen G. 2006. A novel scheme for identifying principal modes in geophysical variability with application to global precipitation. J. Geophys. Res., 111: D11103, http://dx.doi.org/10.1029/2005jd006233.

Chen G. 2013. Revisit to atmospheric oscillations over global ocean: a combined climatology/modality approach. Int. J. Climatol., http://dx.doi.org/10.1002/joc.3870.

Cheng X, Qi Y. 2007. Trends of sea level variations in the South China Sea from merged altimetry data. Global Planet Change, 57: 371–382.

Cheng X, Qi Y. 2010. On steric and mass-induced contributions to the annual sea-level variations in the South China Sea. Global Planet. Change, 72: 227–233.

Cumins P F, Lagerloef G S E, Mitchum G. 2005. A regional index of northeast Pacific variability based on satellite altimeter data. Geophys. Res. Lett., 32: L17607, http://dx.doi.org/10.1029/2005GL023642.

Fang G, Chen H, Wei Z, Wang Y, Wang X, Li C. 2006. Trends and interannual variability of the South China Sea surface winds, surface height, and surface temperature in the recent decade. J. Geophys. Res., 111: C11S16, http://dx.doi.org/10.1029/2005jc003276.

Feng W, Zhong M, Xu H. 2012. Sea level variations in the South China Sea inferred from satellite gravity, altimetry, and oceanographic data. Sci. China Earth Sci., 55: 1696–1701.

Han G, Huang W. 2008. Low-frequency sea-level variability in the South China Sea and its relationship to ENSO. Theor. Appl. Climatol., 97: 41–52.

Ho C R, Zheng Q, Soong Y S, Kuo N J, Hu J H. 2000. Seasonal variability of sea surface height in the South China Sea observed with TOPEX/Poseidon altimeter data. J. Geophys. Res., 105: 13 981–13 990, http://dx.doi.org/10.1029/2000JC900001.

Hughes C W, Williams S D P. 2010. The color of sea level: importance of spatial variations in spectral shape for assessing the significance of trends. J. Geophys. Res., 115: C10048, http://dx.doi.org/10.1029/2010JC006102.

Hwang C, Chen S A. 2000. Fourier and wavelet analyses of TOPEX/Poseidon-derived sea level anomaly over the South China Sea: a contribution to the South China Sea Monsoon Experiment. J. Geophys. Res., 105: 28 785–28 804.

Le Traon P Y, Dibarboure G. 2002. Velocity mapping capabilities of present and future altimeter missions: the role of high-frequency signals. J. Atmos. Ocean. Tech., 19: 2077–2087.

Le Traon P Y, Nadal F, Ducet N. 1998. An improved mapping method of multistatellite altimeter data. J. Atmos. Ocean. Tech., 15: 522–534.

Li L, Xu J, Cai R. 2002. Trend of sea level rise in the South China Sea during th. 1990. An altimeter result. Chin. Sci. Bull., 47: 582–585.

Liu Q, Jia Y, Wang X, Yang H. 2001. On the annual cycle characteristics of the sea surface height in South China Sea. Adv. Atmos. Sci., 18: 613–622.

Liu Q, Jiang X, Xie S, Liu W. 2004. A gap in the Indo-Pacific warm pool over the South China Sea in boreal winter: seasonal development and interannual variability. J. Geophys. Res., 109 (C07): 1–12.

Mantua N J, Hare S R, Zhang Y, Wallace J M, Francis R C. 1997. A Pacific interdecadal climate oscillation with impacts on salmon production. B. Am. Meteol. Soc., 78: 1069–1079.

Metropolis N, Ulam s. (1949. The Monte Carlo method. J. Am. Stat. Assoc., 44: 335–341.

Rong Z, Liu Y, Zong H, Cheng Y. 2007. Interannual sea level variability in the South China Sea and its response to ENSO. Global Planet. Change, 55: 257–272.

Shaw P T, Chao S Y, Fu L L. 1999. Sea surface height variations in the South China Sea from satellite altimetry. Oceanol. Acta, 22: 1–17.

Waliser D E, Murtugudde R, Lucas L E. 2003. Indo-Pacific Ocean response to atmospheric intraseasonal variability: 1. Austral summer and the Madden-Julian Oscillation. J. Geophys. Res., 108: 3 160, http://dx.doi.org/10.1029/2002JC001620.

Wang W, Wang D, Wang Q. 2006. Interannual variability of the South China Sea associated with El Niño. J. Geophys. Res., 111: C03203, http://dx.doi.org/10.1029/2005JC003333.

Woodworth P L, Player R. 2003. The permanent service for mean sea level: an update to the 21st century. J. Coastal Res., 19: 287–295.

Zhang C, Chen G, Qiu F. 2008. Annual amphidromes observed in the atmosphere with remote sensing data. J. Geophys. Res., 11: D16112, http://dx.doi.org/10.1029/2008JD009864.

Zhang C, Wang B, Chen G. 2006. Annual sea level amphidromes in the South China Sea revealed by merged altimeter data. Geophys. Res. Lett., 33: L14606, http:// dx.doi.org/10.1029/2006gl026493.

Zhuang W, Qiu B, Du Y. 2013. Low-frequency western Pacific Ocean sea level and circulation changes due to the connectivity of the Philippine Archipelago, J. Geophys. Res., 118: 6759–6773, http://dx.doi.org/10.1002/2013JC 009376.

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