engleski

Investigation and comparison of RCR and LSMSA regional geoid modelling approaches

In this study results will be presented on the numerical experiments and comparisons of two regional geoid modelling approaches: Remove-Compute-Restore (RCR) and Least Squares Modification of Stokes' Formula with Additive Corrections (LSMSA, also known as KTH). While RCR has been used for few decades, LSMSA approach has gained wide popularity in the last few years resulting in numerous national geoid solutions worldwide. Both approaches are having specific advantages and disadvantages as well as completely different computational strategies. The accuracy of solutions using both approaches shall be at the same level if identical data are used. However, several recent studies in different regions worldwide have shown LSMSA approach produced more optimal results than RCR approach. As it will be shown in this study, in the case of the Republic of Croatia, RCR approach produced slightly better solution compared to LSMSA approach. The analysis of results have led us to conclusion that geoid model accuracy is in large scope independent of the used approach and much more dependent on the selected parameters during modelling as well as on experience and expertise of the modeler. Finally, spatial distribution of differences and errors of computed models allowed us detection of problematic parts of the study area.

geoid ; gravity ; Remove-Compute-Restore (RCR) ; Least Squares Modification of Stokes’ Formula with Additive Corrections (LSMSA)

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