The spatio-temporal variability modes of the sea surface height in the South China Sea(SCS-SSH) are obtained using the Cyclostationary Empirical Orthogonal Function(CSEOF) method, and their relationships to the Pacific basin scale oscillations are examined. The first CSEOF mode of the SCS-SSH is a strongly phase-locked annual cycle that is modulated by a slowly varying principal component(PC); the strength of this annual cycle becomes reduced during El Ni?o events(at largest by 30% off in 1997/98) and enhanced during La Ni?a events. The second mode is a low frequency oscillation nearly on decadal time scale, with its spatial structure exhibiting an obscure month-dependence; the corresponding PC is highly correlated with the Pacific Decadal Oscillation(PDO) index.Five independent oscillations in the Pacific are isolated by using the independent component(IC) analysis(ICA)method, and their effects on the SCS-SSH are examined. It is revealed that the pure ENSO mode(which resembles the east Pacific ENSO) has little effect on the low frequency variability of the SCS-SSH while the ENSO reddening mode(which resembles the central Pacific ENSO) has clear effect. As the ENSO reddening mode is an important constituent of the PDO, this explains why the PDO is more important than ENSO in modulating the low frequency variability of SCS-SSH. Meridional saddle like oscillation mode, the Kuroshio extension warming mode, and the equatorial cooling mode are also successfully detected by the ICA, but they have little effect on the low frequency variability of the SCS-SSH. Further analyses suggest the Pacific oscillations are probably influencing the variability of the SCS-SSH in ways that are different from that of the sea surface temperature(SST) in the SCS. The spatio-temporal variability modes of the sea surface height in the South China Sea (SCS-SSH) were obtained using the Cyclostationary Empirical Orthogonal Function (CSEOF) method, and their relationships to the Pacific basin scale oscillations are examined. The first CSEOF mode of the SCS-SSH is a strongly phase-locked annual cycle that is modulated by a slowly varying principal component (PC); the strength of this annual cycle becomes reduced during El Niño events (at largest by 30% off in 1997 / 98) and enhanced during La Niña events. The second mode is a low frequency oscillation nearly on decadal time scale, with its spatial structure exhibiting an obscure month-dependence; the corresponding PC is highly correlated with the Pacific Decadal Oscillation (PDO) index.FIVE independent oscillations in the Pacific are isolated by using the independent component (IC) analysis (ICA) method, and their effects on the SCS-SSH are examined. It is revealed that the pure ENSO mode (which resembles the eas t Pacific ENSO) has little effect on the low frequency variability of the SCS-SSH while the ENSO reddening mode (which resembles the central Pacific ENSO) has a clear effect. As the ENSO reddening mode is an important constituent of the PDO, this reason why the PDO is more important than ENSO in modulating the low frequency variability of SCS-SSH. Meridional saddle like oscillation mode, the Kuroshio extension warming mode, and the equatorial cooling mode are also successfully detected by the ICA, but they have little effect on the Low frequency variability of the SCS-SSH. Further analyzes of the Pacific oscillations are probably influencing the variability of the SCS-SSH in ways that are different from that of the sea surface temperature (SST) in the SCS.