Coastal sea level change from satellite altimetry and tide guages
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2012
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Abstract
Abstract In this thesis, in order to obtain accurate sea level anomalies time series from satellite altimetry data in the coastal areas, ocean tide corrections from a local tide model and residual ocean tides derived by the least-squares spectral and harmonic analysis were removed from I 0-day TOPEX/POSEIDON and Jason- I data, which have been corrected for other bias and errors. The variations of altimetry time series reduce from 9.6 cm to 5.2 cm on average in the west coast of Canada and the values reduce from 8.7 cm to 5.1 cm on average in the east coast of Canada. Cleaned altimetry and tide gauge data were submitted to a first-order linear regression model to determine the absolute and relative linear sea level trend for every time series, respectively. The noise model for every time series was tested by the power spectral density and maximum likelihood. The white and, the white and flicker noise model are found to be the best noise model for altimetry and tide gauge data respectively. Our rate estimate results agree with published values very well. GPS-derived rates of vertical land motion were added to the relative sea level trend derived from tide gauge data. A joint analysis method is developed to combine satellite altimetry and tide gauge rate estimates together for estimating the regional sea level change. Regional trend estimates by the joint method are very similar to the results by satellite data only. It indicates that the contribution of tide gauge data in the joint analysis method is very limited.
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Bibliography: p. 202-210
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Citation
Tang, F. (2012). Coastal sea level change from satellite altimetry and tide guages (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/4990