Forecasting ocean wave-induced seismic noise

Ocean waves induce the power peak in the seismic ground motion seen everywhere in the world between 0.03 and ~ 1 Hz, defining the seismic noise baseline. The precise generation mechanisms are well understood, and the dependence of seismic noise on sea weather has been precisely quantified using long-term time series. However, this knowledge has never been exploited to forecast the seismic noise background. Here we report the prediction of the seismic noise spectrum around 1 Hz at the Low-Noise Underground Laboratory (LSBB) in Rustrel, for up to 16 days in advance, limited by the time span of sea weather forecasts. We first characterize the dependence of the seismic noise at the LSBB on the Mediterranean Sea and Atlantic Ocean weather, using buoy data for 2020-2021. We exploit significant correlation in the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mn>0.15</mml:mn> <mml:mspace></mml:mspace> <mml:mtext>Hz</mml:mtext> <mml:mo><</mml:mo> <mml:mi>f</mml:mi> <mml:mo><</mml:mo> <mml:mn>2.5</mml:mn> <mml:mspace></mml:mspace> <mml:mtext>Hz</mml:mtext></mml:mrow> </mml:math> frequency band to make predictions, converting sea weather forecasts into seismic noise forecasts. The expected seismic background noise can be used to optimize the performance and running costs of scientific and industrial activities, by scheduling them during quiet intervals or adopting adaptive data analysis techniques to identify target signals in the predicted noise.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2024-09-09
DOI
https://doi.org/10.1038/s41598-024-71628-4
Citations
4
Primary Topic
Seismic Waves and Analysis
Type
article
Field-Weighted Citation Impact
2.14

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Forecasting ocean wave-induced seismic noise

Stéphane Gaffet, M. Prevedelli, D. A. Smith, Andréa Bertoldi
4 citations
Scientific Reports
Seismic Waves and Analysis
2.14
article

Forecasting ocean wave-induced seismic noise

Stéphane Gaffet, M. Prevedelli, D. A. Smith, Andréa Bertoldi
article en
4 citations

Abstract

Ocean waves induce the power peak in the seismic ground motion seen everywhere in the world between 0.03 and ~ 1 Hz, defining the seismic noise baseline. The precise generation mechanisms are well understood, and the dependence of seismic noise on sea weather has been precisely quantified using long-term time series. However, this knowledge has never been exploited to forecast the seismic noise background. Here we report the prediction of the seismic noise spectrum around 1 Hz at the Low-Noise Underground Laboratory (LSBB) in Rustrel, for up to 16 days in advance, limited by the time span of sea weather forecasts. We first characterize the dependence of the seismic noise at the LSBB on the Mediterranean Sea and Atlantic Ocean weather, using buoy data for 2020-2021. We exploit significant correlation in the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mn>0.15</mml:mn> <mml:mspace></mml:mspace> <mml:mtext>Hz</mml:mtext> <mml:mo><</mml:mo> <mml:mi>f</mml:mi> <mml:mo><</mml:mo> <mml:mn>2.5</mml:mn> <mml:mspace></mml:mspace> <mml:mtext>Hz</mml:mtext></mml:mrow> </mml:math> frequency band to make predictions, converting sea weather forecasts into seismic noise forecasts. The expected seismic background noise can be used to optimize the performance and running costs of scientific and industrial activities, by scheduling them during quiet intervals or adopting adaptive data analysis techniques to identify target signals in the predicted noise.

Scientific ReportsVol. 14(1)
Centre National de la Recherche Scientifique (FR), Université de Bordeaux (FR), Duke University (US), Osservatorio astronomico di Bologna (IT), Laboratoire d'Astrophysique de Bordeaux (FR), Laboratoire Photonique, Numérique et Nanosciences (FR), Laboratoire Souterrain à Bas Bruit (FR), University of Bologna (IT)
Agence Nationale de la Recherche
Climate action
Openalex Percentile: Top 14%
Seismic Waves and Analysis
2.14
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.