Monitoring remote ocean waves using P-wave microseisms
Monitoring remote ocean waves using P-wave microseisms
Oceanic microseisms are generated by the interaction of opposing ocean waves and subsequent coupling with the seabed, so microseisms should contain information on the ocean conditions that generated them. This leads to the possibility of using seismic records as a proxy for the ocean gravity wavefield. Here we investigate the P-wave component of microseisms, which has previously been linked to areas of high wave interaction intensity in mid-ocean regions. We compare modeled P-wave microseismic sources with those observed at an array in California, and also investigate the relationship between observed sources and significant wave height. We found that the time-varying location of microseism sources in the North Pacific, mapped from beamforming and backprojection of seismic data, was accurate to ≤10° in 90% of cases. The modeled sources were found to dominate at ∼0.2 Hz which was also reflected in the seismic observations. An empirical relationship between observed beampower and modeled source power allowed sources during an independent data period to be estimated with a correlation coefficient of 0.63. Likewise, significant wave height was also estimated with a correlation coefficient of 0.63. Our findings suggest that with improvements in resolution and amplitude retrieval from beamforming, correlations up to 0.78 should be possible between observed P-wave microseisms and significant wave height in remote ocean regions.
470-483
Neale, Jennifer
c2db9a29-ed27-401c-b3f9-46dea77576f5
Harmon, Nicholas
10d11a16-b8b0-4132-9354-652e72d8e830
Srokosz, Meric
1e0442ce-679f-43f2-8fe4-9a0f0174d483
25 January 2017
Neale, Jennifer
c2db9a29-ed27-401c-b3f9-46dea77576f5
Harmon, Nicholas
10d11a16-b8b0-4132-9354-652e72d8e830
Srokosz, Meric
1e0442ce-679f-43f2-8fe4-9a0f0174d483
Neale, Jennifer, Harmon, Nicholas and Srokosz, Meric
(2017)
Monitoring remote ocean waves using P-wave microseisms.
Journal of Geophysical Research: Oceans, 122, .
(doi:10.1002/2016JC012183).
Abstract
Oceanic microseisms are generated by the interaction of opposing ocean waves and subsequent coupling with the seabed, so microseisms should contain information on the ocean conditions that generated them. This leads to the possibility of using seismic records as a proxy for the ocean gravity wavefield. Here we investigate the P-wave component of microseisms, which has previously been linked to areas of high wave interaction intensity in mid-ocean regions. We compare modeled P-wave microseismic sources with those observed at an array in California, and also investigate the relationship between observed sources and significant wave height. We found that the time-varying location of microseism sources in the North Pacific, mapped from beamforming and backprojection of seismic data, was accurate to ≤10° in 90% of cases. The modeled sources were found to dominate at ∼0.2 Hz which was also reflected in the seismic observations. An empirical relationship between observed beampower and modeled source power allowed sources during an independent data period to be estimated with a correlation coefficient of 0.63. Likewise, significant wave height was also estimated with a correlation coefficient of 0.63. Our findings suggest that with improvements in resolution and amplitude retrieval from beamforming, correlations up to 0.78 should be possible between observed P-wave microseisms and significant wave height in remote ocean regions.
Text
Neale_et_al-2017-Journal_of_Geophysical_Research__Oceans
- Version of Record
More information
Accepted/In Press date: 11 December 2016
e-pub ahead of print date: 25 January 2017
Published date: 25 January 2017
Organisations:
Geology & Geophysics, Ocean and Earth Science, National Oceanography Centre, Marine Physics and Ocean Climate
Identifiers
Local EPrints ID: 406178
URI: http://eprints.soton.ac.uk/id/eprint/406178
ISSN: 2169-9275
PURE UUID: bd038085-053f-47d5-acf1-ab39b9b7893a
Catalogue record
Date deposited: 10 Mar 2017 10:41
Last modified: 16 Mar 2024 05:06
Export record
Altmetrics
Contributors
Author:
Jennifer Neale
Author:
Meric Srokosz
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics