2018
DOI: 10.1785/0220180056
|View full text |Cite
|
Sign up to set email alerts
|

A Self‐Noise Model for the German DEPAS OBS Pool

Abstract: Ocean-bottom seismometers (OBSs) allow us to extend seismological research to the oceans to constrain offshore seismicity but also image the marine subsurface. A challenge is the high noise level on OBS records, which is created not only by bottom currents but also by the specific seismometer models used. We present a quantitative noise model for the LOBSTER OBS, which is the main instrument of the DEutscher Geräte-Pool für Amphibische Seismologie (DEPAS), currently the largest European OBS pool, stationed at … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
32
1

Year Published

2021
2021
2023
2023

Publication Types

Select...
5
1
1

Relationship

1
6

Authors

Journals

citations
Cited by 24 publications
(36 citation statements)
references
References 23 publications
2
32
1
Order By: Relevance
“…These prominent modes are artificial and associated with the lander body, solar panels, instrument deployment arm, load shunt assembly, and tether, coexciting with surges in atmospheric activity. Such features are also observed on Earth, for example, resonant modes in ocean‐bottom seismometers attributed to head‐buoy cables strumming from fluid motion, even at moderate current velocities (Stähler et al., 2018). Here, a further characteristic of the wind speed threshold is apparent: the abrupt attenuation of modes below 10 Hz at the 2.8 m s −1 wind‐speed threshold.…”
Section: Application Of Comodulation Analysis At Insightmentioning
confidence: 86%
“…These prominent modes are artificial and associated with the lander body, solar panels, instrument deployment arm, load shunt assembly, and tether, coexciting with surges in atmospheric activity. Such features are also observed on Earth, for example, resonant modes in ocean‐bottom seismometers attributed to head‐buoy cables strumming from fluid motion, even at moderate current velocities (Stähler et al., 2018). Here, a further characteristic of the wind speed threshold is apparent: the abrupt attenuation of modes below 10 Hz at the 2.8 m s −1 wind‐speed threshold.…”
Section: Application Of Comodulation Analysis At Insightmentioning
confidence: 86%
“…We automatically picked P and S phases using the kurtosis-based PSPicker by Baillard et al (2014), but the picking results were not satisfactory and needed refinement by manual picking in SEISAN (Havskov & Ottemöller, 1999;Ottemöller et al, 2017). The main reason for the poor performance of the automatic picker are ocean bottom currents that acted on the OBS and produced harmonic tremor signals in the frequency range between 1 and about 10 Hz (Stähler et al, 2018). Filtering records between 7 and 17 Hz achieved the best results.…”
Section: Earthquake Detection and Pickingmentioning
confidence: 99%
“…This is most likely due to high self-noise of this device type and, partially (for T noise > 30 s), to a lower corner period of the instrument (30 s vs. 120 s for other units). It is worth noting that the CMG-6T high long-period noise is at a very similar level to that for the ocean-bottom seismometer (OBS) version of the Güralp CMG-40T (30 s) sensor (Stähler et al, 2018), while the land version of CMG-40T shows substantially lower (by about 20 dB) self-noise in this period range (Custódio et al, 2014;Tasič and Runovc, 2012).…”
Section: Seismic Noise Characteristics and Site Effectmentioning
confidence: 64%