The persistent signature of tropical cyclones in ambient seismic noise

Lucia Gualtieri, Suzana J. Camargo, Salvatore Pascale, Flavio M.E. Pons, Göran Ekström

Research output: Contribution to journalArticlepeer-review

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The spectrum of ambient seismic noise shows strong signals associated with tropical cyclones, yet a detailed understanding of these signals and the relationship between them and the storms is currently lacking. Through the analysis of more than a decade of seismic data recorded at several stations located in and adjacent to the northwest Pacific Ocean, here we show that there is a persistent and frequency-dependent signature of tropical cyclones in ambient seismic noise that depends on characteristics of the storm and on the detailed location of the station relative to the storm. An adaptive statistical model shows that the spectral amplitude of ambient seismic noise, and notably of the short-period secondary microseisms, has a strong relationship with tropical cyclone intensity and can be employed to extract information on the tropical cyclones.
Original languageEnglish (US)
Pages (from-to)287-294
Number of pages8
JournalEarth and Planetary Science Letters
StatePublished - Dec 28 2017
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: We thank the US Geological Survey (USGS) and the Incorporated Research Institutions for Seismology (IRIS) for providing openly available seismic data. L.G. acknowledges support from a Lamont–Doherty Earth Observatory Postdoctoral Fellowship. L.G. also acknowledges partial support for this work from Princeton University and King Abdullah University of Science and Technology. S.J.C. acknowledges support from NOAA grants NA15OAR4310095 and NA16OAR4310079. S.P. was supported by the NOAA CICS grant NA14OAR4320106. We would like to thank John Knaff (NOAA) for making the tropical cyclone size data available for this study. We also wish to acknowledge the editor Peter Shearer and the two anonymous reviewers, whose comments helped us to improve the manuscript. This is the Lamont–Doherty Contribution Number 8172.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


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