A 3-D model of the crust and uppermost mantle beneath the Central and Western US by joint inversion of receiver functions and surface wave dispersion
被引:212
|
作者:
Shen, Weisen
论文数: 0引用数: 0
h-index: 0
机构:
Univ Colorado, Dept Phys, Boulder, CO 80309 USAUniv Colorado, Dept Phys, Boulder, CO 80309 USA
Shen, Weisen
[1
]
Ritzwoller, Michael H.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Colorado, Dept Phys, Boulder, CO 80309 USAUniv Colorado, Dept Phys, Boulder, CO 80309 USA
Ritzwoller, Michael H.
[1
]
Schulte-Pelkum, Vera
论文数: 0引用数: 0
h-index: 0
机构:
Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
Univ Colorado, Dept Geol Sci, Boulder, CO 80309 USAUniv Colorado, Dept Phys, Boulder, CO 80309 USA
Schulte-Pelkum, Vera
[2
,3
]
机构:
[1] Univ Colorado, Dept Phys, Boulder, CO 80309 USA
[2] Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
[3] Univ Colorado, Dept Geol Sci, Boulder, CO 80309 USA
Rayleigh wave phase velocity maps from ambient noise and earthquake data are inverted jointly with receiver functions observed at 828 stations from the USArray Transportable Array west of 100 degrees W longitude for data recorded in the years 2005 through 2010 to produce a 3-D model of shear wave speeds beneath the central and Western US to a depth of 150 km. Eikonal tomography is applied to ambient noise data to produce about 300,000 Rayleigh wave phase speed curves, and Helmholtz tomography is applied to data following 1550 (Ms > 5.0) earthquakes so that Rayleigh wave dispersion maps are constructed from 8 to 80 s period with associated uncertainties across the region. Harmonic stripping generates back-azimuth independent receiver functions with uncertainty estimates for each of the stations. A nonlinear Bayesian Monte Carlo method is used to estimate a distribution of shear wave speed (Vs) models beneath each station by jointly interpreting surface wave dispersion and receiver functions and their uncertainties. The assimilation of receiver functions improves the vertical resolution of the model by reducing the range of estimated Moho depths, improving the determination of the shear velocity jump across Moho, and improving the resolution of the depth of anomalies in the uppermost mantle. A great variety of geological and tectonic features are revealed in the 3-D model that form the basis for future detailed local to regional scale analysis and interpretation. Citation: Shen W., M. H. Ritzwoller, and V. Schulte-Pelkum (2013), A 3-D model of the crust and uppermost mantle beneath the Central and Western US by joint inversion of receiver functions and surface wave dispersion, J. Geophys. Res. Solid Earth, 118, 262-276, doi: 10.1029/2012JB009602.
机构:
Columbia Univ, Lamont Doherty Geol Observ, Palisades, NY 10964 USA
Ctr Invest Cient & Educ Super Ensenda, Div Ciencias Tierra, Ensenada, Baja California, MexicoColumbia Univ, Lamont Doherty Geol Observ, Palisades, NY 10964 USA
Obrebski, Mathias
Abers, Geoffrey A.
论文数: 0引用数: 0
h-index: 0
机构:
Cornell Univ, Dept Earth & Atmospher Sci, Ithaca, NY USAColumbia Univ, Lamont Doherty Geol Observ, Palisades, NY 10964 USA
Abers, Geoffrey A.
Foster, Anna
论文数: 0引用数: 0
h-index: 0
机构:
Nanyang Technol Univ, Earth Observ Singapore, Singapore 639798, SingaporeColumbia Univ, Lamont Doherty Geol Observ, Palisades, NY 10964 USA
机构:
Univ Fed Rio Grande do Norte, Program Posgrad Geodinam & Geofis, BR-59072970 Natal, RN, BrazilUniv Fed Rio Grande do Norte, Program Posgrad Geodinam & Geofis, BR-59072970 Natal, RN, Brazil
Luz, Rosana M. N.
Julia, Jordi
论文数: 0引用数: 0
h-index: 0
机构:
Univ Fed Rio Grande do Norte, Program Posgrad Geodinam & Geofis, BR-59072970 Natal, RN, Brazil
Univ Fed Rio Grande do Norte, Dept Geofis, BR-59072970 Natal, RN, BrazilUniv Fed Rio Grande do Norte, Program Posgrad Geodinam & Geofis, BR-59072970 Natal, RN, Brazil
Julia, Jordi
do Nascimento, Aderson F.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Fed Rio Grande do Norte, Program Posgrad Geodinam & Geofis, BR-59072970 Natal, RN, Brazil
Univ Fed Rio Grande do Norte, Dept Geofis, BR-59072970 Natal, RN, BrazilUniv Fed Rio Grande do Norte, Program Posgrad Geodinam & Geofis, BR-59072970 Natal, RN, Brazil