Probabilistic Earthquake Location in 3D and Layered Models

By Anthony Lomax, Jean Virieux, P. Volant, C. Berge-Thierry. 2000

900 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Geophysics, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/17774bc7274cb41237b065b6bc8ddb3f8a6eb712

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Malcolm Sambridge
2. Klaus Mosegaard
3. Aldo Zollo

In Geophysics

1. Jean Virieux
2. Malcolm Sambridge
3. Klaus Mosegaard
4. Aldo Zollo
5. Stéphane Operto
6. Andreas Fichtner
7. N. Rawlinson
8. Romain Brossier

In Management, Monitoring, Policy and Law

1. Malcolm Sambridge
2. Klaus Mosegaard

Citations in the corpus

• MONTE CARLO METHODS IN GEOPHYSICAL INVERSE PROBLEMS (2002, methodology): “For example, earthquake hypocenter location using travel times of seismic phases is often described as weakly nonlinear [see Buland, 1976] (although examples exist of the failure of linearization even in this case [e.g., Billings et al., 1994; Lomax et al., 2000]).”
• Precise, absolute earthquake location under Somma–Vesuvius volcano using a new three-dimensional velocity model (2001, methodology): “For the non-linear global search locations in this paper, we use a software package calledNonLinLoc (Lomax et al. 2000; available on the Internet at the ORFEUS Seismological Software Library: http://orfeus.knmi.nl).”