| Summary: | This report was prepared by Yu Wang, a graduate research associate in the Department of Civil and Environmental Engineering and Geodetic Science at the Ohio State University, under the supervision of Professor C. K. Shum. This report was supported by a grant from the National Science Foundation Office of Polar Program: OPP-0088029. This report was also submitted to the Graduate School of the Ohio State University as a thesis in partial fulfillment of the requirements for the Master of Science degree. Ocean tide has been observed and studied for a long time. With its role in the complex interactions between solid earth, ocean, sea ice and the floating glacial ice shelves, tides have been identified as one of the important causes of grounding line migration, an essential factor to the study of ice mass balance and global sea level change. In addition, accurate knowledge of ocean tides is needed for studies such as tidal mixing and sea ice calving. Polar ocean tide models remain poorly understood despite of the success of global ocean tide modeling in the deep oceans. In this thesis, a study of ocean tide modeling in the Southern Ocean employing the empirical tide solution approach is presented using the multiple satellite altimetry data at crossover locations. The tidal aliasing problem in satellite altimetry is first investigated by testing the software for two frequency searching methods using simulated and actual altimetry data at crossover locations. Numerical experiments show that the software for the interval method performs better than that for the global optimization frequency searching method, by which the true original (not aliased) frequencies of the tides can be extracted from altimetry data at crossover locations. Also, using altimetry data at crossover locations can better reduce tidal aliasing than using along-track altimetry data. Altimetry data at T/P and ERS-2 dual satellite crossovers for the Southern Ocean are generated using 300 cycles of T/P data and 79 cycles of ERS-2 data. Using these ...
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