Near real- time simulations of global CMT earthquakes
Por:
Tromp J., Komatitsch D., Hjörleifsdóttir V., Liu Q., Zhu H., Peter D., Bozdag E., McRitchie D., Friberg P., Trabant C., Hutko A.
Publicada:
1 ene 2010
Resumen:
We have developed a near real- time system for the simulation of global earthquakes. Prompted by a trigger from the Global Centroid Moment Tensor (CMT) Project, the system automatically calculates normal- mode synthetic seismograms for the Preliminary Reference Earth Model, and spectral- element synthetic seismograms for 3- D mantle model S362ANI in combination with crustal model Crust2.0. The 1- D and 3- D synthetics for more than 1800 seismographic stations operated by members of the international Federation of Digital Seismograph Networks are made available via the internet (global.shakemovie.princeton.edu) and the Incorporated Research Institutions for Seismology Data Management Center (IRIS; iris.edu). The record length of the synthetics is 100 min for CMT events with magnitudes less than 7.5, capturing R1 and G1 at all epicentral distances, and 200 min for CMT events with magnitudes equal to or greater than 7.5, capturing R2 and G2. The mode simulations are accurate at periods of 8 s and longer, whereas the spectral- element simulations are accurate between periods from 17 to 500 s. The spectral- element software incorporates a number of recent improvements, for example, the mesh honours the Moho as a first- order discontinuity underneath the oceans and continents, and the performance of the solver is enhanced by reducing processor cache misses and optimizing matrix-matrix multiplication. In addition to synthetic seismograms, the system produces a number of earthquake animations, as well as various record sections comparing simulated and observed seismograms. © 2010 The Authors Journal compilation © 2010 RAS.
Filiaciones:
Tromp J.:
Department of Geosciences and Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ, United States
Komatitsch D.:
Université de Pau et des Pays de l'Adour, CNRS and INRIA Magique- 3D, Laboratoire de Modélisation et d'Imagerie en Géosciences UMR 5212, Pau, France
Institut universitaire de France, 103 boulevard Saint- Michel, 75005 Paris, France
Hjörleifsdóttir V.:
Lamont- Doherty Earth Observatory, Columbia University, NY, United States
Instituto de Geofísica, Universidad Nacional Autónoma de Mexico, Circuito de la Investigación Científica s/n, Ciudad Universitaria, D.F. 04510 Distrito Federal, Mexico
Liu Q.:
Department of Physics, University of Toronto, ON, Canada
Zhu H.:
Department of Geosciences, Princeton University, Princeton, NJ, United States
Peter D.:
Department of Geosciences, Princeton University, Princeton, NJ, United States
Bozdag E.:
Department of Geosciences, Princeton University, Princeton, NJ, United States
McRitchie D.:
Princeton Institute for Computational Science and Engineering, Princeton University, Princeton, NJ, United States
Friberg P.:
Instrumental Software Technologies, Inc., New Paltz, NY, United States
Trabant C.:
IRIS DMC, Seattle, WA, United States
Hutko A.:
IRIS DMC, Seattle, WA, United States
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