Ocean bottom seismometer (OBS) noise reduction from horizontal and vertical components using harmonic–percussive separation algorithms
Records from ocean bottom seismometers (OBSs) are highly contaminated by noise, which is much stronger compared to data from most land stations, especially on the horizontal components. As a consequence, the high energy of the oceanic noise at frequencies below 1 Hz considerably complicates the anal...
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| Published in | Solid earth (Göttingen) Vol. 14; no. 2; pp. 181 - 195 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Gottingen
Copernicus GmbH
01.03.2023
Copernicus Publications |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1869-9529 1869-9510 1869-9529 |
| DOI | 10.5194/se-14-181-2023 |
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| Summary: | Records from ocean bottom seismometers (OBSs) are highly contaminated by
noise, which is much stronger compared to data from most land stations,
especially on the horizontal components. As a consequence, the high energy
of the oceanic noise at frequencies below 1 Hz considerably complicates the
analysis of the teleseismic earthquake signals recorded by OBSs. Previous studies suggested different approaches to remove low-frequency
noises from OBS recordings but mainly focused on the vertical component.
The records of horizontal components, which are crucial for the application of many
methods in passive seismological analysis of body and surface waves, could
not be much improved in the teleseismic frequency band. Here we introduce a
noise reduction method, which is derived from the harmonic–percussive
separation algorithms used in Zali et al. (2021), in order to separate
long-lasting narrowband signals from broadband transients in the OBS signal.
This leads to significant noise reduction of OBS records on both the
vertical and horizontal components and increases the earthquake
signal-to-noise ratio (SNR) without distortion of the broadband earthquake
waveforms. This is demonstrated through tests with synthetic data. Both SNR
and cross-correlation coefficients showed significant improvements for
different realistic noise realizations. The application of denoised signals
in surface wave analysis and receiver functions is discussed through tests
with synthetic and real data. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 1869-9529 1869-9510 1869-9529 |
| DOI: | 10.5194/se-14-181-2023 |