Empirical comparison between stochastic and deterministic modifiers over the French Auvergne geoid computation test-bed

Since 2006, several different groups have computed geoid and/or quasigeoid (quasi/geoid) models for the Auvergne test area in central France using various approaches. In this contribution, we compute and compare Curtin University of Technology’s Swedish Royal Institute These approaches differ many ways, such as their treatment input data, choice type spherical harmonic model (combined or satellite-only), form sequence correction terms applied, modified Stokes’s kernels (deterministic stochastic). We also compared our results with most previously reported studies over order to seek any improvements respect time [exceptions are when subsets data been used]. All considered here same 75 GPS-levelling heights Auvergne. The standard deviation almost all computations (without fitting) is 30–40 mm, so there not yet clear indication whether approach necessarily better than other nor improving time. recommend more standardisation on presentation quasi/geoid comparisons that from areas can be objectively.