We propose a new methodology to obtain crustal models in areas where data is sparse and data spreading is
heterogeneous. This new method involves both interpolating the depth to the Moho discontinuity between observations
and estimating a velocity–depth curve for the crust at each interpolation location. The Moho observations
are interpolated using a remove–compute–restore technique, used in for instance geodesy. Observations
are corrected first for Airy type isostasy. The residual observations show less variation than the original observations,
making interpolation more reliable. After interpolation, the applied correction is restored to the solution,
leading to the final estimate of Moho depth. The crustal velocities have been estimated by fitting a velocity–
depth curve through available data at each interpolation location. Uncertainty of the model is assessed, both
for the Moho and the velocity model. The method has been applied successfully to Asia. The resulting crustal
model is provided in digital form and can be used in various geophysical applications, for instance in assessing
rheological properties and strength profiles of the lithosphere, the correcting gravity for the crustal effects, seismic
tomography and geothermal modelling.
