2026-07-17T03:32:55Zhttp://doidb.wdc-terra.org/oaip/oaioai:doidb.wdc-terra.org:78552026-06-10T10:26:12ZDOIDBDOIDB.GFZfalse4DOIDB.GFZ
10.5880/GFZ.2.4.2024.001
Vera, Felipe
Felipe
Vera
0000-0001-9284-2835
GFZ German Research Centre for Geosciences, Potsdam, Germany
Tilmann, Frederik
Frederik
Tilmann
0000-0002-7439-8782
GFZ German Research Centre for Geosciences, Potsdam, Germany
Saul, Joachim
Joachim
Saul
0000-0002-2381-7289
GFZ German Research Centre for Geosciences, Potsdam, Germany
A decade of short-period earthquake rupture histories from multi-array back-projection
GFZ Data Services
2024
teleseismic back-projection
large earthquakes
megathrust earthquakes
complex ruptures
supershear ruptures
earthquake rupture catalog
EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS > EARTHQUAKES
Vera, Felipe
GFZ German Research Centre for Geosciences, Potsdam, Germany
Tilmann, Frederik
GFZ German Research Centre for Geosciences, Potsdam, Germany
2023-01-12
Dataset
10.5281/zenodo.8032063
10.1029/2023JB027260
3.0
CC BY 4.0
Teleseismic back-projection imaging has emerged as a powerful tool for understanding the rupture propagation of large earthquakes. However, its application often suffers from artifacts related to the receiver array geometry.
We developed a teleseismic back-projection technique that can accommodate data from multiple arrays. Combined processing of P and pP waveforms may further improve the resolution. The method is suitable for defining arrays ad-hoc to achieve a good azimuthal distribution for most earthquakes. We present a catalog of short-period rupture histories (0.5-2.0 Hz) for all earthquakes from 2010 to 2022 with Mw {greater than or equal to} 7.5 and depth less than 200 km (56 events). The method provides automatic estimates of rupture length, directivity, speed, and aspect ratio, a proxy for rupture complexity.
We obtained short-period rupture length scaling relations that are in good agreement with previously published relations based on estimates of total slip. Rupture speeds were consistently in the sub-Rayleigh regime for thrust and normal earthquakes, whereas a tenth of strike-slip events propagated at supershear speeds. Many rupture histories exhibited complex behaviors, e.g., rupture on conjugate faults, bilateral propagation, and dynamic triggering by a P wave. For megathrust earthquakes, ruptures encircling asperities were frequently observed, with down-dip, up-dip, and balanced patterns. Although there is a preference for short-period emissions to emanate from central and down-dip parts of the megathrust, emissions up-dip of the main asperity are more frequent than suggested by earlier results.
The data are presented as follows (and described in detail in the associated README):
SUPPORTING DATA SET S1 (2024-001_Vera-et-al_Supporting-Data-S1.zip)
This Data Set (S1) consists of *.bp files containing (1) short-period earthquake rupture patterns, (2) energy radiated maps, and (3) source time functions derived from back-projections (0.5-2.0 Hz). The Data Set S1 includes 56 folders, representing 56 processed earthquakes between 2010 and 2022 with a moment magnitude (Mw) greater than or equal to 7.5 and a depth less than 200 km. These folders are labeled in the format YYYYMMDDhhmm_EVENT_NAME_REGION (UTC) in *.bp format.
SUPPORTING DATA SET S2 (2024-001_Vera-et-al_Supporting-Data-S2.csv)
This Data Set (S2) comprises a *.csv file containing earthquake source information used in the back-projection and the resulting rupture parameter estimates based on **visually determined** rupture end times. The *.csv file includes rupture parameter estimates for each of the 56 earthquake back-projections presented in Data Set S1.
SUPPORTING DATA SET S3 (2024-001_Vera-et-al_Supporting-Data-S3.csv)
This Data Set (S3) comprises a *.csv file containing earthquake source information used in the back-projection and the resulting rupture parameter estimates based on **automatic** rupture end times. Note: The main difference from Data Set S2 is that rupture parameter estimates in S3 are derived from **automated** rupture end times, whereas S2 provided estimates relative to **visually determined** rupture end times.
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