Ambient noise surface wave tomography of the Makran subduction zone, south-east Iran: Implications for crustal and uppermost mantle structures

Crustal and uppermost mantle structure in southern Africa revealed from ambient noise and teleseismic tomography

S U M M A R Y Rayleigh wave phase velocity maps in southern Africa are obtained at periods from 6 to 40 s using seismic ambient noise tomography applied to data from the Southern Africa Seismic Experiment (SASE) deployed between 1997 and 1999. These phase velocity maps are combined with those from 45 to 143 s period which were determined previously using a two-planewave method by Li & Burke. In...

Offshore structure of the Cascadia subduction zone from full-wave ambient noise tomography

The crust and uppermost mantle structure of Southern Peru from ambient noise and earthquake surface wave analysis

a r t i c l e i n f o a b s t r a c t Southern Peru is located in the northern Central Andes, which is the highest plateau along an active subduction zone. In this region, the Nazca slab changes from normal to flat subduction, with the associated Holocene volcanism ceasing above the flat subduction regime. We use 6 s to 67 s period surface wave signals from ambient noise cross-correlations and ...

Ambient noise surface wave tomography of the Iberian Peninsula: Implications for shallow seismic structure

[1] We have obtained high resolution group velocity maps of Rayleigh waves at periods from 8 to 25 seconds across the Iberian Peninsula by cross-correlating four months of ambient noise data recorded by 40 permanent broadband stations. Group velocity maps accurately image the main structural elements of the Iberian upper crust, including the Iberian Massif, Alpine orogens and major sedimentary ...

Three dimensional shear wave velocity structure of the crust and upper mantle beneath China from ambient noise surface wave tomography∗

We determine the three-dimensional shear wave velocity structure of the crust and upper mantle in China using Green’’s functions obtained from seismic ambient noise cross-correlation. The data we use are from the China National Seismic Network, global and regional networks and PASSCAL stations in the region. We first acquire cross-correlation seismograms between all possible station pairs. We t...