Determination of New Zealand Ocean Bottom Seismometer Orientation via Rayleigh-Wave Polarization

Stachnik, J. C.; Sheehan, A. F.; Zietlow, Daniel W.; Yang, Zhongyuan; Collins, J. A.; Ferris, A.

doi:10.1785/0220110128

Cited by 127 publications

(116 citation statements)

References 13 publications

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“…To ensure robust orientation estimates, we employed both the earthquake orientation method of Stachnik et al (2012) (hereafter termed Method 1) and the ambient noise orientation method of Zha et al (2013, hereafter termed Method 2). Fig.…”

Section: Determination Of Lbs Orientationsmentioning

confidence: 99%

Surface wave imaging of the weakly extended Malawi Rift from ambient-noise and teleseismic Rayleigh waves from onshore and lake-bottom seismometers

Accardo

Gaherty

Shillington

et al. 2017

Geophysical Journal International

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Section: Determination Of Lbs Orientationsmentioning

confidence: 99%

Surface wave imaging of the weakly extended Malawi Rift from ambient-noise and teleseismic Rayleigh waves from onshore and lake-bottom seismometers

Accardo

Gaherty

Shillington

et al. 2017

Geophysical Journal International

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“…To determine the correct sensor orientations, one can use the Rayleigh-wave polarization-angle method (e.g. Stachnik et al, 2012), in which differences between the Rayleighwave polarizations and their theoretical back azimuths are plotted depending on event origin times. Of course, this method cannot be as precise as measurements with the optical gyrocompass.…”

Section: Sensor Orientationmentioning

confidence: 99%

Data quality control and tools in passive seismic experiments exemplified on the Czech broadband seismic pool MOBNET in the AlpArray collaborative project

Vecsey

Plomerová

Jedlička

et al. 2017

Geosci. Instrum. Method. Data Syst.

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Abstract. This paper focuses on major issues related to the data reliability and network performance of 20 broadband (BB) stations of the Czech (CZ) MOBNET (MOBile NETwork) seismic pool within the AlpArray seismic experiments. Currently used high-resolution seismological applications require high-quality data recorded for a sufficiently long time interval at seismological observatories and during the entire time of operation of the temporary stations. In this paper we present new hardware and software tools we have been developing during the last two decades while analysing data from several international passive experiments. The new tools help to assure the high-quality standard of broadband seismic data and eliminate potential errors before supplying data to seismological centres. Special attention is paid to crucial issues like the detection of sensor misorientation, timing problems, interchange of record components and/or their polarity reversal, sensor mass centring, or anomalous channel amplitudes due to, for example, imperfect gain. Thorough data quality control should represent an integral constituent of seismic data recording, preprocessing, and archiving, especially for data from temporary stations in passive seismic experiments. Large international seismic experiments require enormous efforts from scientists from different countries and institutions to gather hundreds of stations to be deployed in the field during a limited time period. In this paper, we demonstrate the beneficial effects of the procedures we have developed for acquiring a reliable large set of high-quality data from each group participating in field experiments. The presented tools can be applied manually or automatically on data from any seismic network.

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“…8, Hannemann et al 2014), therefore we do not use the data from this station for our analysis. The data are time corrected (Hannemann et al 2014) and the horizontal components are oriented by using P phases and Rayleigh phases (Stachnik et al 2012;Sumy et al 2015) of know teleseismic events.…”

Section: Datamentioning

confidence: 99%

Oceanic lithosphericS-wave velocities from the analysis ofP-wave polarization at the ocean floor

Hannemann¹,

Dahm

Lange³

2016

Geophys. J. Int.

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S U M M A R YOur knowledge of the absolute S-wave velocities of the oceanic lithosphere is mainly based on global surface wave tomography, local active seismic or compliance measurements using oceanic infragravity waves. The results of tomography give a rather smooth picture of the actual S-wave velocity structure and local measurements have limitations regarding the range of elastic parameters or the geometry of the measurement. Here, we use the P-wave polarization (apparent P-wave incidence angle) of teleseismic events to investigate the S-wave velocity structure of the oceanic crust and the upper tens of kilometres of the mantle beneath single stations. In this study, we present an up to our knowledge new relation of the apparent Pwave incidence angle at the ocean bottom dependent on the half-space S-wave velocity. We analyse the angle in different period ranges at ocean bottom stations (OBSs) to derive apparent S-wave velocity profiles. These profiles are dependent on the S-wave velocity as well as on the thickness of the layers in the subsurface. Consequently, their interpretation results in a set of equally valid models. We analyse the apparent P-wave incidence angles of an OBS data set which was collected in the Eastern Mid Atlantic. We are able to determine reasonable S-wave-velocity-depth models by a three-step quantitative modelling after a manual data quality control, although layer resonance sometimes influences the estimated apparent S-wave velocities. The apparent S-wave velocity profiles are well explained by an oceanic PREM model in which the upper part is replaced by four layers consisting of a water column, a sediment, a crust and a layer representing the uppermost mantle. The obtained sediment has a thickness between 0.3 and 0.9 km with S-wave velocities between 0.7 and 1.4 km s −1 . The estimated total crustal thickness varies between 4 and 10 km with S-wave velocities between 3.5 and 4.3 km s −1 . We find a slight increase of the total crustal thickness from ∼5 to ∼8 km towards the South in the direction of a major plate boundary, the Gloria Fault. The observed crustal thickening can be related with the known dominant compression in the vicinity of the fault. Furthermore, the resulting mantle S-wave velocities decrease from values around 5.5 to 4.5 km s −1 towards the fault. This decrease is probably caused by serpentinization and indicates that the oceanic transform fault affects a broad region in the uppermost mantle. Conclusively, the presented method is useful for the estimation of the local S-wave velocity structure beneath ocean bottom seismic stations. It is easy to implement and consists of two main steps: (1) measurement of apparent P-wave incidence angles in different period ranges for real and synthetic data, and (2) comparison of the determined apparent S-wave velocities for real and synthetic data to estimate S-wave velocity-depth models.Key words: Time-series analysis; Body waves; Theoretical seismology; Oceanic transform and fracture zone processes. I N T RO D U C T I O NThe p...

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Determination of New Zealand Ocean Bottom Seismometer Orientation via Rayleigh-Wave Polarization

Cited by 127 publications

References 13 publications

Surface wave imaging of the weakly extended Malawi Rift from ambient-noise and teleseismic Rayleigh waves from onshore and lake-bottom seismometers

Surface wave imaging of the weakly extended Malawi Rift from ambient-noise and teleseismic Rayleigh waves from onshore and lake-bottom seismometers

Data quality control and tools in passive seismic experiments exemplified on the Czech broadband seismic pool MOBNET in the AlpArray collaborative project

Oceanic lithosphericS-wave velocities from the analysis ofP-wave polarization at the ocean floor

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