jgrc21333-sup-0001-2015JC010923-SupInfo

advertisement
Journal of Geophysical Research: Ocean
Supporting Information for
The seasonal cycle and variability of sea level in the South China Sea
Amiruddin, A.M.1,2, Haigh, I.D.1, Tsimplis, M.N1,3, Calafat, F.M.3and Dangendorf, S.4
(1) School of Ocean and Earth Science, University of Southampton, UK, (2) Faculty of Environmental
Studies, Universiti Putra Malaysia, Malaysia, (3) National Oceanography Centre, Southampton, UK, (4)
Research Institute for Water and Environment, University of Siegen, Germany
Contents of this file
Figures S1 to S3
Tables S1 to S3
Additional Supporting Information (Files uploaded separately)
Captions for Tables S1 to S3
Introduction
Figure S1 shows the percentages of change in the annual sea level cycle explained by
the sea level pressure at each tide gauge stations. The percentage is computed from the
differences in the annual amplitude between observed and IB corrected tide gauge with
respect to the observed tide gauge (see the discussion in Section 4.1 of the main paper).
These changes are directly attributed to the annual cycle of sea level pressure shown in
Fig. S2. Increases of 1mb in local atmospheric pressure correspond to decreases of ~ 1
cm in local sea level.
Fig. S3 shows the comparison of the annual amplitude between the observed tide gauge
records at Zhapo and Legaspi with their forcing parameter, the cross-shore and longshore winds, respectively (see the discussion in Section 4.4 of the main paper).
Table S1 shows the result of seasonal harmonics of residual, which computed by
removing the inverse barometric (IB) effect and steric component from observed tide
gauge records (see the discussion in Section 4.3 of the main paper).
Table S2 shows the result of stepwise regression model of the temporal variability (see
the discussion in Section 4.4 of the main paper). The significant contributions of each
single predictor variable in the regression model are further shown in Table S3.
1
Figure S1. The percentages of change in the annual sea level cycle explained by the sea level
pressure. The percentage is computed from the differences in the annual amplitude between
observed and IB corrected tide gauge with respect to the observed tide gauge.
1
Figure S2. The annual harmonic of sea level pressure for the period 1950-2012. (a) Amplitude in mb and (b) phase in days.
1
Figure S3. Comparison of the annual amplitude between the observed tide gauge records (black) at Zhapo (a) and Legaspi (b) with the cross-shore
and longshore winds (red), respectively. The period of which the strong influences of these wind on the respective tide gauge records are shown in
the light blue shaded colour.
1
Tables uploaded separately
Table S1. Seasonal harmonics from residual (correction of IB effect and steric) over
the maximum time span of each record within the period 1950-2012a
Table S2. Regression coefficient of regression model
Table S3. Variance of temporal variability explained by individual predictor
1
Download