Observing Geographically Correlated Errors in the Orbit of TOPEX/Poseidon Using GPS
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Engineering topics
Publications and source records attributed to Rosborough, G..
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Most of what is known about oceanic gyres comes from studies of the two main Northern Hemisphere subtropical gyres. Also important in the overall circulation of the world's oceans are the Southern Hemisphere subtropical gyres and the cyclonic Alaskan Gyre in the northern Pacific. Due in part to their weaker surface topography signatures and their variable character, these gyres have not been observed and studied as well as the northern subtropical gyres. The combination of satellite altimetry with in situ ocean measurements will lead to improved resolution of the interannual and seasonal change in the circulation of these ocean gyres. Also, it will provide initialization input and verification for numerical modeling work designed to better understand internal gyre dynamics. The objective of this proposal is to combine satellite and in situ data in a study dedicated to a better understanding of the basic structure and dynamics of the weakly defined Southern Hemisphere gyres and the Alaskan Gyre and their roles in oceanic heat and mass transport of the world ocean. Emphasis will be on description of the Alaskan Gyre.
The error sensitivity of orbit calculations in support of the NASA Ocean Surface Topography Mapping Experiment (TOPEX), which require an accuracy on the order of 5 cm, is investigated. The contributions of errors in the gravitational, atmospheric drag and solar radiation pressure models to the computed orbit are analyzed for the cases of an ideal data distribution and realistic laser ranging data coverage. It is found that the major contributor to radial orbital error is the error in the geopotential model, accounting for orbital errors of 30 to 70 cm, with the effects of solar radiation pressure, drag modeling, tracking station coordinate errors making lesser contributions. It is concluded that TOPEX accuracy goals cannot be met using ground-based laser ranging data without improving the geopotential model.