Reprocessing of the ocean bottom seismic data of the TYDE experiment using modern techniques.
- 1UNAM, National Autonomous University of Mexico, Institute of Geophysics, Vocanology, Mexico City, Mexico (marcoocalo@yahoo.it)
- 2Posgrado en Ciencias de la Tierra, UNAM, Mexico
- 3Istituto Nazionale di Geofisica e Vulcanologia, INGV, Rome, Italy
During the TYrrhenian Deep-sea Experiment (TYDE) 14 Ocean Bottom stations were deployed in the period December 2000-May 2001 on the southern Tyrrhenian seafloor around the Aeolian islands All the stations were equipped with Hydrophones (OBH) and six of them with 3-component geophones (OBS). This experiment represented one of the first and most important passive ocean bottom data acquisition ever realized in southern Tyrrhenian and the records were mainly used to perform receiver functions, modeling of the seismic velocity field, and detect and locate seismicity.
In this work we present a reprocessing of these old data using modern techniques of analysis to improve the quality of the signals and extract more information of what has been already published.
We show the workflow used for cleaning the records together with Machine Learning approaches to improve the detection of small events and the application of methods that were not common at that time, such as the Ambient Noise analyses.
Work supported by the “Pianeta Dinamico” call, 2023–2025 CAVEAT
How to cite: Calò, M., Gamez Lindoro, J. A., Di Luccio, F., and Bernal Manzanilla, K.: Reprocessing of the ocean bottom seismic data of the TYDE experiment using modern techniques., EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-6977, https://doi.org/10.5194/egusphere-egu24-6977, 2024.
