Supplementary Figure 1

Supplementary Table 1: Statistical results for various inversions

Comparison of statistical results for a variety of models and radial parameterizations, where VR is the variance reduction, N=2850 is the number of data and M is the number of model parameters. In model S6, we determine lateral variations in S velocity up to degree~6, and assume that lateral variations in P velocity and density are proportional to the S velocity variations by constant scaling factors of 0.55 and 0.2, respectively. In model SP6, we invert for independent lateral variations in S and P velocity, but assume that the density model is proportional to the S model. These two inversions use only the mode data. The third inversion, model SPRD6, allows for independent lateral variations in S velocity, P velocity and density, and additional variations in topography on the free surface, the 660 and the CMB. This inversion includes constraints imposed by the free-air gravity anomaly. K13 indicates that models are expanded radially in Chebyshev polynomials up to order 13 (over-parameterized inversion), and K7 models use Chebyshev polynomials up to order 7.
Model VR (%) c2/N c2/(N-M) M
S6 (K13) 89.4 2.7 3.1 378
SP6 (K13) 90.3 2.5 3.3 758
SPRD6 (K13) 91.5 2.1 3.7 1215
S6 (K7) 88.1 3.0 3.2 216
SP6 (K7) 90.1 2.5 2.9 432
SPRD6 (K7) 91.7 2.1 2.8 729
Changes in c2/(N-M) indicate whether the increase in the number of model parameters is warranted by the data. However, this test is not useful when the models are over-parameterized, as in K13 inversions. We prefer to over-parameterize our models and damp higher-order polynomials more strongly rather than parameterizing the models with lesser degrees of freedom. When the models are expanded radially up to order 7, which we believe gives a reasonable number of model parameters with respect to the number of data, c2/(N-M) improves with the addition of P, and again when density and boundary topography are added.


Index of Figures


Miaki Ishii, Department of Earth and Planetary Sciences, Harvard University, copyright ©1999, all rights reserved
Last modified: September 8, 1999