Climate modulation on sea surface height in China seas

Xiaoshuang Zhang; Xidong Wang; Yingzhi Cao; Lianxin Zhang; Caixia Shao; Chunjian Sun; Xinrong Wu; Hongli Fu; Lili Xuan

doi:10.1007/s00343-015-4120-z

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Climate modulation on sea surface height in China seas

Updated：2023-05-16

- Climate modulation on sea surface height in China seas
- Journal of Oceanology and Limnology Vol. 33, Issue 5, Pages: 1245-1255(2015)
- Affiliations：
  
  1. Key Laboratory of Marine Environmental Information Technology SOA National Marine Data and Information Service
  2. College of Physical and Environmental Oceanography Ocean University of China
  3. National University of Defense Technology
- Author bio：
- Funds：
- DOI：10.1007/s00343-015-4120-z
  CLC：
- Online First：25 March 2015，
  
  Published：2015
- Accepted：
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Zhang, X., Wang, X., Cao, Y. et al. Climate modulation on sea surface height in China seas., Chin. J. Ocean. Limnol. 33, 1245–1255 (2015). https://doi.org/10.1007/s00343-015-4120-z
DOI：

Zhang, X., Wang, X., Cao, Y. et al. Climate modulation on sea surface height in China seas., Chin. J. Ocean. Limnol. 33, 1245–1255 (2015). https://doi.org/10.1007/s00343-015-4120-z DOI：

摘要

Abstract

The climate modulation on the sea surface height (SSH) in China seas is investigated using a China Ocean Reanalysis (CORA) dataset from 1958–2008. The dataset is constructed by assimilating the temperature/salinity profiles derived from the satellite altimetry data and historical observational temperature/salinity profiles. Based on the Empirical Orthogonal Function (EOF)

the CORA sea surface height anomaly (SSHa) is decomposed

and the interannual and decadal variability of the first three leading modes are analyzed. On the interannual timescale

the first principal component (PC1) is significant positively correlated with the El Niño/Southern Oscillation (ENSO). On the decadal timescale

North Pacific Gyre Oscillation (NPGO) has significant negative correlation with PC1 whereas Pacific Decadal Oscillation (PDO) is in phase with PC3. Analysis shows that the decadal variability of SSH is mainly modulated by the wind stress curl variability related to the NPGO and PDO. In addition

the effect of net heat flux associated to the NPGO and PDO on SSH is also investigated

with net heat flux variability in the Luzon strait and tropic Pacific found to influence the decadal variability of SSH.

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references

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