Technical approach and dataset

Our 3D S-velocity model will be derived from the joint inversion of regional waveform fits, surface wave group velocity measurements, teleseismic arrival times of S and P waves, receiver functions and published results from active source experiments. The strength of jointly using various datasets lies in their redundancy (increase in the results accuracy) and complementarity (resolving power increase and trade-offs reduction).

The fitting of regional fundamental and higher mode Rayleigh waveforms is being accomplished using the Partitioned Waveform Inversion method (Nolet, 1990). Examples of recently obtained waveform fits are shown in Figure 13.42. The modeling of both fundamental and higher mode surface waveforms ensures resolution of the entire upper mantle structure down to the transition zone. The inclusion in the inversion of teleseismic arrival times will further boost the resolving power at mid and deep upper mantle levels, while group velocity measurements and constraints on crustal thickness from active-source literature and receiver function analysis will ensure high resolution in the shallow upper mantle.

The seismograms used in this work have been recently recorded by a variety of different stations and networks, both permanent and temporary, operating in the study region: MIDSEA deployment, Kuwait National Seismic Network (KNSN), the United Arab Emirates (UAE) Broadband deployment, the Jordan deployment, the Eastern Turkey Seismic Experiment (ETSE), the Caspian Broadband deployment, the Global Seismic Network (GSN), the International Monitoring System (IMS), MedNet and Geofon. While each of these waveform datasets is valuable on its own, their combination is unique and key to this study.

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