Australia has several distinct regimes where sea level variations differ in the coastal and nearby oceans. This paper investigates sea level variations along the southeast coast and northern coast of Australia. It is to integrate data from multi-satellite altimetry missions (e.g., Topex, Jason-1 and Jason-2) and tide gauges into a consistent map of coastal sea level for monitoring of extreme sea levels around Australia. The temporal correlation of sea level observations from satellite altimeter and individual tide gauge is investigated for 12 gauges. Both data sets are merged using a multivariate regression approach. The performance of the multiple regression model is analysed through computations of hindcast skill and root mean square of multiple regression between tide-gauge and altimeter observations. The results suggest that the multivariate regression approach can efficiently integrate the two types of sea level data in the northern coast of Australia, where the multiple regression model used in this paper can explain more than 60% of sea level variations.
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