Seismic anisotropy is one of the most efficient geological and geodynamical
tools fur understanding the dynamics of the Earth. Upper mantle anisotropy
is evident in seismic data sets for the last 30 years primarily from surfa
ce wave dispersion curves and body wave SKS data. We demonstrate in this pa
per that surface wave and body wave derived anisotropy can be explained by
the same anisotropic parameters (L, G(c), G(s)) in the simplest case of a h
orizontal fast symmetry axis. One application of this method is to display
the SKS delay time and the corresponding azimuth, which can be derived from
surface wave global (with a lateral resolution of around 2000 km) and regi
onal (lateral resolution of 350 km) anisotropy tomography. A global-scale c
omparison is disappointing since there are only a few areas where both data
types are correctly retrieved at the same spatial scale (same Lateral reso
lution). The anisotropy is well resolved in oceanic basins from surface wav
es, whereas most measurements of SKS splitting are available below continen
ts. However, there is a good agreement between surface wave and body wave a
nisotropy in regions where large-scale processes (primarily tectonic) are t
aking place, such as the western United States and in central Asia. In part
icular, we show that, at high frequency (> 1 Hz), the observed SKS delay ti
me and azimuth depend on the order in which S waves propagate through the l
ayers. A comparison between synthetic and observed SKS phases in central As
ia highlights the varying sensitivity of SKS waves at depth. We can obtain
a good correlation between synthetic and observed SKS By considering anisot
ropy only between 80 and 200 km depth in the tomographic model, rather than
in the entire upper mantle. However, it is more difficult to explain the d
iscrepancy between synthetic and observed SKS under the eastern United Stat
es, where a large-scale coherent SKS anisotropy is present, Such results ca
ll for more sophisticated SKS waveform modeling and for enhanced lateral re
solution in anisotropic tomographic models.