by Asaf Inbal, Jean Paul Ampuero, and Robert W. Clayton

Slides:



Advertisements
Similar presentations
DISCRIMINATING SMALL EARTHQUAKES FROM QUARRY BLASTS USING PEAK AMPLITUDE RATIO - Vmax/Hmax MA, S., EATON, D., & DINEVA, S. Department of Earth Sciences.
Advertisements

Earthquake spatial distribution: the correlation dimension (AGU2006 Fall, NG43B-1158) Yan Y. Kagan Department of Earth and Space Sciences, University of.
Toward urgent forecasting of aftershock hazard: Simultaneous estimation of b-value of the Gutenberg-Richter ’ s law of the magnitude frequency and changing.
GLOBAL EARTHQUAKE FORECASTS Yan Y. Kagan and David D. Jackson Department of Earth and Space Sciences, University of California Los Angeles Abstract We.
California Earthquake Rupture Model Satisfying Accepted Scaling Laws (SCEC 2010, 1-129) David Jackson, Yan Kagan and Qi Wang Department of Earth and Space.
U.A. Dyudina, A.P. Ingersoll, California Institute of Technology Pasadena, CA, Objectives We study lightning on Jupiter using spatially resolved.
2010/11/01 Workshop on "Earthquake Forecast Systems Based on Seismicity of Japan: Toward Constructing Base-line Models of Earthquake Forecasting" Seismicity.
From: Discovery of carbon-rich Miras in the Galactic bulge
Thomas Andrillon, Sid Kouider, Trevor Agus, Daniel Pressnitzer 
Perceived Speed of Colored Stimuli
Maturation of a Recurrent Excitatory Neocortical Circuit by Experience-Dependent Unsilencing of Newly Formed Dendritic Spines  Michael C. Ashby, John T.R.
Spatiotemporal correlation of exocytic events and fluorescence changes in bovine chromaffin cells expressing SCORE. (A, I) Bright-field image of ECD array.
Modulation of Neuronal Interactions Through Neuronal Synchronization
Stable Carbon Cycle–Climate Relationship During the Late Pleistocene
Linking Electrical Stimulation of Human Primary Visual Cortex, Size of Affected Cortical Area, Neuronal Responses, and Subjective Experience  Jonathan.
Thomas Andrillon, Sid Kouider, Trevor Agus, Daniel Pressnitzer 
Jorge E. Ramirez, Brandon M. Stell  Cell Reports 
Dynamics of interphase microtubules in Schizosaccharomyces pombe
Vibrissal Kinematics in 3D: Tight Coupling of Azimuth, Elevation, and Torsion across Different Whisking Modes  Per Magne Knutsen, Armin Biess, Ehud Ahissar 
Adam M. Corrigan, Jonathan R. Chubb  Current Biology 
Retinal Representation of the Elementary Visual Signal
Joseph M. Johnson, William J. Betz  Biophysical Journal 
Volume 19, Issue 7, Pages (July 2011)
Feature- and Order-Based Timing Representations in the Frontal Cortex
Volume 111, Issue 2, Pages (July 2016)
by A. Dutton, A. E. Carlson, A. J. Long, G. A. Milne, P. U. Clark, R
A Role for the Superior Colliculus in Decision Criteria
Relationship of Correlated Spontaneous Activity to Functional Ocular Dominance Columns in the Developing Visual Cortex  Chiayu Chiu, Michael Weliky  Neuron 
Volume 49, Issue 3, Pages (February 2006)
Slip pulse and resonance of Kathmandu basin during the 2015 Mw 7
Martin D Bootman, Michael J Berridge, Peter Lipp  Cell 
by J. Galetzka, D. Melgar, J. F. Genrich, J. Geng, S. Owen, E. O
by Wei-Ping Chan, I-Ching Chen, Robert K
Hippocampal “Time Cells”: Time versus Path Integration
Volume 5, Issue 4, Pages e4 (October 2017)
The strength of earthquake-generating faults
Modeling the Spatial Reach of the LFP
Taeyoon Kim, Margaret L. Gardel, Ed Munro  Biophysical Journal 
Benjamin Scholl, Daniel E. Wilson, David Fitzpatrick  Neuron 
Coding of Natural Scenes in Primary Visual Cortex
Phenotypic variation of sake yeast strains.
Volume 95, Issue 11, Pages (December 2008)
ECOM method recovers time correlation with 2-ms precision from 219-ms imaging frames. ECOM method recovers time correlation with 2-ms precision from 219-ms.
Benjamin Scholl, Daniel E. Wilson, David Fitzpatrick  Neuron 
by Satoshi Ide, Annemarie Baltay, and Gregory C. Beroza
Shock-Wave Exploration of the High-Pressure Phases of Carbon
Volume 5, Issue 4, Pages (November 2013)
A multitiered approach to characterize transcriptome structure.
by Kenneth W. Latimer, Jacob L. Yates, Miriam L. R
Volume 110, Issue 4, Pages (August 2002)
by Laura M. Wallace, Spahr C
by Wenyuan Fan, and Peter M. Shearer
by Khaled Nasr, Pooja Viswanathan, and Andreas Nieder
by Meru J. Sadhu, Joshua S. Bloom, Laura Day, and Leonid Kruglyak
Image cross-correlation analysis reveals the emergence of a dynamic steady state actin distribution in the minimal cortex. Image cross-correlation analysis.
by Naoki Uchida, Takeshi Iinuma, Robert M
Fig. 1 Map of the trifurcation area of the SJFZ.
Mercè Izquierdo-Serra, Jan J. Hirtz, Ben Shababo, Rafael Yuste 
Scattering and Interference in Epitaxial Graphene
Mechanical spectroscopy of insect swarms
by Andreas Keiling, Scott Thaller, John Wygant, and John Dombeck
Fig. 2 Spatial distribution of earthquake density derived from a catalog spanning 93 nights of the LB Array data set. Spatial distribution of earthquake.
by Jacqueline Austermann, Jerry X
Earthquakes track subduction fluids from slab source to mantle wedge sink by Felix Halpaap, Stéphane Rondenay, Alexander Perrin, Saskia Goes, Lars Ottemöller,
Empirical observations of the spawning migration of European eels: The long and dangerous road to the Sargasso Sea by David Righton, Håkan Westerberg,
by Hiro Nimiya, Tatsunori Ikeda, and Takeshi Tsuji
Relationships between species richness and temperature or latitude
Fig. 2 Comparison of the observed DRs and the estimates by the VR model and FL. Comparison of the observed DRs and the estimates by the VR model and FL.
George D. Dickinson, Ian Parker  Biophysical Journal 
Fig. 3 Global and basin-averaged sampling error compared with reconstructed temperature change. Global and basin-averaged sampling error compared with.
Presentation transcript:

by Asaf Inbal, Jean Paul Ampuero, and Robert W. Clayton Localized seismic deformation in the upper mantle revealed by dense seismic arrays by Asaf Inbal, Jean Paul Ampuero, and Robert W. Clayton Science Volume 354(6308):88-92 October 7, 2016 Published by AAAS

Fig. 1 Earthquake density, seismicity, and helium ratios. Earthquake density, seismicity, and helium ratios. This figure shows the spatial distribution of seismicity that occurred between 1980 and 2011 and was recorded by the Southern California Seismic California (SCSN) (14), as well as helium ratios (3He/4He) in the LA basin, which were measured and corrected for air contamination by Boles et al. (25). (A) Earthquake density as a function of location. We used the color bar labeled “Rate” to indicate the spatially smoothed number of events over a 30-year period, binned in 9-km2 squares. The locations of helium measurements, seismic stations, and dense seismic arrays are denoted by green inverted triangles, gray triangles, and blue polygons, respectively. The dashed rectangle indicates the region from which we extracted the earthquakes used to construct panels (B) and (C). Red curves denote the surface trace of active faults. (B) SCSN catalog seismicity depth distribution along the Newport-Inglewood fault (NIF) and in southern California (CA). z is the depth below sea level. (C) Depths of NIF seismicity and the Moho as function of location along line A-A′ in (A). The Moho (45, 46) is indicated by the green curve. The depths (d) above which 50 and 95% of the earthquakes occur in the SCSN- and back-projection–derived catalogs are indicated by the orange and red dashed curves and squares, respectively. Gray triangles represent the projection of SCSN seismic stations onto the line A-A′; blue triangles denote the arrays. ROSE indicates the Rosecrans Array and LB denotes the Long Beach Array. (D) Helium ratios within the area enclosed by the dashed rectangle in (A), as a function of distance along A-A′. The dashed curve indicates the polynomial best fit to the observations. Green inverted triangles are the same as in (A). Ra is the 3He/4He ratio in air; Rc is the same for the crust. (E) Helium ratios as a function of distance normal to A-A′. Asaf Inbal et al. Science 2016;354:88-92 Published by AAAS

Fig. 2 Spatial distribution of earthquake density derived from a catalog spanning 93 nights of the LB Array data set. Spatial distribution of earthquake density derived from a catalog spanning 93 nights of the LB Array data set. (A to C) Map view of event density in the following depth ranges: (A) 5 to 12 km, (B) 12 to 20 km, and (C) 20 to 32 km. Densities in each panel were normalized by their maximum value. Areas with intense seismicity are shown in orange and red; areas devoid of seismicity appear in yellow and white. The NIF surface trace and the local oilfields are denoted by black and green dashed lines, respectively. LB, Long Beach oilfield; LBA, Long Beach Airport oilfield; WI, Wilmington oilfield. (D) Vertical cross section showing event density along the B-B′ line in (A). We normalized the counts in each 2-km depth bin by their maxima. The Moho depth (47) is indicated by a green curve, and the uncertainty on this estimate was determined using previously published results (26, 38, 48). (E) Seismicity depth distribution in the LB Array data set. Asaf Inbal et al. Science 2016;354:88-92 Published by AAAS

Fig. 3 Temporal analysis and earthquake size distribution in Long Beach. Temporal analysis and earthquake size distribution in Long Beach. (A) Distribution of earthquake magnitudes. The blue squares and red circles denote shallow (<15 km) and deep (>25 km) events, respectively. The black squares are for the SCSN catalog and are normalized according to the LB Array spatiotemporal coverage. The slopes of black and gray dashed lines are equal to –1 and –2, respectively. (B) Distribution of earthquake signal amplitudes, which we define as the maximum of the downward-continued, migrated stack in a 5-s window containing the event, scaled by the maximum of the synthetic stack computed for a collocated source with Mw = 1. The best-fitting exponential model, which appears linear in this semi-logarithmic scale, is indicated by the red curve. The blue curve shows a power law. r, correlation coefficient. (C) Autocorrelation as a function of lag-time between earthquake rate time series for shallow (<10 km) and deep (>25 km) clusters. The blue and red curves indicate the average values for 112 shallow and 52 deep clusters, respectively. The gray shaded area denotes the 1σ uncertainties. The black dashed curve represent a synthetic earthquake catalog with a random, Poissonian distribution of earthquake occurrences. Asaf Inbal et al. Science 2016;354:88-92 Published by AAAS