Computer Science
Scientific paper
Feb 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004e%26psl.218..403g&link_type=abstract
Earth and Planetary Science Letters, Volume 218, Issue 3-4, p. 403-419.
Computer Science
15
Plume, Mantle, Dynamic Model, Temperature, Seismic Velocity, Anelasticity
Scientific paper
The first seismic images of mantle plumes have been a source of significant debate. To interpret these images, it is useful to have an idea of a plume's expected seismic signature. We determined a set of dynamic thermal whole-mantle plumes, with parameters appropriate for the Earth's mantle and shallow-mantle temperature contrasts compatible with surface observations. We explore the sensitivity of amplitude and width of thermal plume anomalies to model parameters. The conversion of thermal to seismic structure accounts for effects of temperature, pressure, an average mantle composition including phase transitions, and anelasticity. With depth-dependent expansivity and temperature- and depth-dependent viscosity, these relatively weak plumes have lower-mantle diameters of 300-600 km at one half of the maximum temperature anomaly. To attain the narrow upper-mantle plumes inferred from surface observations and tomography, viscosity reduction by a factor 30-100 is necessary, either as a jump or as a strong gradient. All model plumes had buoyancy fluxes >=4 Mg/s and it seems difficult to generate whole-mantle thermal plumes with fluxes much lower. Due to changing seismic sensitivity to temperature with depth and mineralogy, variations in the plumes' seismic amplitude and width do not coincide with those in their thermal structure. Velocity anomalies of 2-4% are predicted in the uppermost mantle. Reduced sensitivity in the transition zone as well as complex velocity anomalies due to phase boundary topography may hamper imaging continuous whole-mantle plumes. In the lower mantle, our plumes have seismic amplitudes of only 0.5-1%. Unlike seismic velocities, anelasticity reflects thermal structure closely, and yields plume anomalies of 50-100% in dln(1/QS).
Cammarano Fabio
Goes Saskia
Hansen Ulrich
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