Abstract
Principal component analysis (PCA) used by meteorologists and oceanographers is a powerful tool for the analysis of the spatial and temporal variability of physical fields.
This study is aimed at applying “quasi-local PCA for singular factor” to make the cumulative percentage for the first principal component as great as possible, so that the many-dimension problem can be reduced to a single-dimension one, and at combining PCA with stepwise regression analysis to parameterize the relationship between El Niño events and the anomalies in hydrographic factors along 137°E in summer.
The results show that the hydrography on 30–50 m levels at 7–9°N along 137°E in summer is very closely correlated with El Niño events because of the thermocline movement caused by enhanced upwelling in this area during El Niño years.
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Contribution No. 1788 from the Institute of Oceanology, Academia Sinica
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Maochang, C., Dunxin, H. Statistical study on relationship of El Niño events and the hydrography along 137°E in summer. Chin. J. Ocean. Limnol. 9, 222–231 (1991). https://doi.org/10.1007/BF02850747
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DOI: https://doi.org/10.1007/BF02850747