Computer Science
Scientific paper
Jun 1995
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1995natur.375..777t&link_type=abstract
Nature, Volume 375, Issue 6534, pp. 777-780 (1995).
Computer Science
19
Scientific paper
THE structure of convection in the mantle is still the subject of considerable debate. The now standard modelling of the convective flow as driven in a viscous mantle by density anomalies derived from seismic tomography has successfully explained the longest-wavelength (degree 2 to 8) geoid anomalies and provided important information concerning the viscosity structure of the mantle1-8. With this approach, however, the predicted response of surface topography to convective stresses (the 'dynamic topography') has a typical magnitude of several kilometres, which does not conform with observations9-11. A possible source of this discrepancy lies in the severe underestimation, by tomography, of density anomalies due to deflections of the boundary between the upper and lower mantle, at 660 km depth. Here we model the mantle flow implied by seismically derived density heterogeneities, using an empirical method to account for the 660-km boundary topography. The predicted dynamic (surface) topography thus obtained is significantly reduced, to values that conform with the observations; in addition, the 660-km boundary topography appears to have a strong influence on the computed mantle circulation, inducing local layering of the convective flow.
Cazenave Anny
Machetel Philippe
Thoraval Catherine
No associations
LandOfFree
Locally layered convection inferred from dynamic models of the Earth's mantle does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Locally layered convection inferred from dynamic models of the Earth's mantle, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Locally layered convection inferred from dynamic models of the Earth's mantle will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-756961