California Institute of Technology Seismological Laboratory Los Angeles Basin Model

                        

               



Comparison between observed and predicted eigenfrequencies of normal modes give us constraints on the 3-D structure of the mantle and inner core. We are collaborating with Miaki Ishii at Harvard in this area of research.

Observed (left column) and predicted (right column) splitting functions for mantle-sensitive normal mode 1S4 (top row) and inner-core-sensitive mode 6S3 (bottom row). The predicted splitting function is based upon shear-velocity model SKS12WM13 (Dziewonski et al 1997). The splitting function of the mantle-mode 1S4is well predicted by SKS12WM13, but the splitting of the core-sensitive mode 6S3 is not: a large, zonal degree two pattern is missing. Such zonal splitting functions are characteristic of all anomalously split modes. The splitting function represents a local radial average of the Earth structure. This average value is obtain by filtering the Earth's 3-D heterogeneity through kernels such as those shown in the next figure. Because each mode has a unique set of sensitivity kernels, it also has its own unique splitting function that reflects the way in which it 'sees' the Earth. Splitting functions may be determined directly from free oscillation spectra.



Sensitivity kernels (degree zero) of mantle-sensitive mode 1S4 (left) and inner-core-sensitive mode 6S3 (right). The solid line represents sensitivity to shear velocity perturbations as a function of depth, the short-dashed line sensitivity to compressional velocity, and the long dashed line sensitivity to density. The locations of the 670 km discontinuity and the CMB have been indicated. Mode 1S4 is not sensitive to structure in the inner core, whereas the anomalously split mode 6S3 'sees' the inner core.

 


Miaki Ishii's personal page

(to top)

HOME | GLOBAL | REGIONAL | NORMAL MODES | GLACIAL REBOUND | BEOWULF | PEOPLE | REPRINTS | DOWNLOADS

Last Modified 6/29/06
© California Institute of Technology
Contact: Jeroen Tromp
jtromp@gps.caltech.edu