Moho Depth Estimation Beneath Tibet From Satellite Gravity Data Based on a Condensation Approach

We develop an algorithm for a Moho depth recovery from gravity and gradiometry data apply this method to estimate the beneath Tibetan Plateau. The basic idea of is describe mathematically undulations in terms condensation layer with respect mean depth, instead applying more commonly used isostatic compensation schemes. Expressions that functionally relate field quantities (Moho) are derived spectral spatial domains. main advantage functional relation between surface density anomalies, consequently undulations, has linear form. proposed tested using satellite data. (taken geoid surface) estimates obtained based on validated against global regional seismic results at study area Tibet. also compare result corresponding by Parker–Oldenburg Vening Meinesz–Moritz (VMM) methods. validation shows all three gravimetric methods similar, they closely agree model. Nevertheless, VMM our comparison overperform Parker–Oldenburg's method. analysis reveals newly developed provides better (in RMS fit model) when applied determination