Identification of transient seismo-acoustic signals from crashing ocean waves: Template matching and location of discrete surf events

Crashing ocean waves, or surf, have previously been identified as persistent generators of coherent infrasound signals from 0.5 to 20 Hz. Here, we demonstrate that infrasonic and seismic (seismo-acoustic) signals from surf are composed of repetitive transient events which can be detected and characterized using template matching. Using data collected from a series of field experiments designed to study seismo-acoustic surf signals in Santa Barbara, California, we show that source regions of these events can be constrained primarily to just offshore of a local coastal headland using a reverse-time-migration implementation on a small spatial scale (<5 km2). Our data include one continuously running infrasound sensor (September 2022–July 2023) to examine temporal signal evolution, complemented by several short-duration campaigns involving various infrasound arrays, co-located seismometers, and video recordings. Throughout varied oceanographic and atmos..., The majority of this dataset is composed of infrasound data recorded with a principal station (Hyperion 3111-series set to 400 Hz sampling frequency), which recorded near-continuous data from September 6, 2022 to July 17, 2023 via DiGOS DATA-CUBE3. Data collection was performed (in part) at the University of California Natural Reserve System Coal Oil Point Reserve DOI: 10.21973/N3Z07N. Roughly every 2 weeks, the battery was swapped with a new one to keep the sensor running. Sensor was placed within a bush, with no other physical noise filters.
The principal infrasound station was supplemented by four temporary array deployments; for each deployment data collection period, there is also data available from the principal station. Deployments are described in more detail below.
Deployment 1: January 11, 2023 (local PST). Involved 4 Gem 1.0 sensors [Anderson et al., 2017] with sampling frequency 100 Hz, placed along the base of the cliff at Sands Beach (wrapped in a towel, no othe..., , # Identification of transient seismo-acoustic signals from crashing ocean waves: Template matching and location of discrete surf events

This readme file was generated on [2024-03-22] and updated on [2025-08-11]

## GENERAL INFORMATION

Title of Dataset: Seismo-acoustic observations of crashing ocean waves: Investigating surf monitoring at Coal Oil Point Reserve, Santa Barbara, California

Date of data collection: 2022-09-06 to 2023-07-13, and 2023-10-17 to 2023-10-23

Geographic location of data collection: Data collection was performed at the University of California Natural Reserve System Coal Oil Point Reserve (DOI: 10.21973/N3Z07N). Coal Oil Point Reserve, Santa Barbara, California: (34.40831 N, 119.87868 W).

Information about funding sources that supported the collection of the data:

Supported by a University of California, Santa Barbara faculty research grant awarded to Matoza.

## SHARING/ACCESS INFORMATION

Licenses/restrictions placed on the data: Creative Commons Zero (CC0)...,