EGU24-8826, updated on 08 Mar 2024
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Deep Circulation in the North Atlantic from Ocean Bottom Seismometer Noise: Insights from the UPFLOW/iReverb Project

Afonso Loureiro1,2, Maria Tsekhmistrenko3,4, Alex Saoulis3,5, Carlos Corela2, Rui Vieira6, Jesus Reis6, Rui Caldeira1,2,6, Miguel Miranda7,8, and Ana Ferreira3
Afonso Loureiro et al.
  • 1ARDITI - Regional Agency for the Development of Research, Technology and Innovation, Funchal, Portugal (
  • 2University of Lisbon, Faculty of Sciences, Instituto Dom Luiz, Lisbon, Portugal
  • 3University College of London, London, United Kingdom
  • 4ERP, Earth Rover Program, London, United Kingdom of Great Britain
  • 5Fathom, Bristol, United Kingdom
  • 6Oceanic Observatory of Madeira, Funchal, Portugal
  • 7IPMA - Portuguese Institute of the Sea and Atmosphere, Lisbon, Portugal
  • 8AIR Centre, Atlantic International Research Centre, Terceira, Azores, Portugal

Ocean Bottom Seismometers (OBS) face unique challenges in recording seismic events due to their exposure to harsh oceanic conditions. The UPFLOW project deployed 50 OBS of various instrument types in the North Atlantic Ocean. The iReverb project aims to investigate the tidally-modulated current-induced noise generated by water flow around the instrument's frame.

This study presents an analysis of seasonal variations in tidal-induced noise on different OBS types across the Azores, Madeira and Canaries region. 

In some instances, the detected harmonics allow the identification of individual frame components contributing to the noise, offering, on the one hand, insights into potential mitigation solutions for future deployments. On the other hand, our project's main focus - large-scale detection of non-seismic or current-induced reverberation events on OBS - provides valuable data for mapping resonances and tracking ocean currents. 

Our study uses machine learning/deep learning algorithms, automating the mapping of resonances across large datasets and obtaining a proxy for Ocean Bottom Circulation (OBC) patterns.

Here, we present a brief overview of our methodology, describe our results and compare them to classical oceanographic methods to determine ocean currents.

This project was funded by the UPFLOW project (ERC grant 101001601), and by the Portuguese Fundação para a Ciência e a Tecnologia (FCT) I.P./MCTES through national funds (PIDDAC) – UIDB/50019/2020 (DOI: 10.54499/UIDB/50019/2020), UIDP/50019/2020 (DOI: 10.54499/UIDP/50019/2020) and LA/P/0068/2020 (DOI: 10.54499/LA/P/0068/2020).

How to cite: Loureiro, A., Tsekhmistrenko, M., Saoulis, A., Corela, C., Vieira, R., Reis, J., Caldeira, R., Miranda, M., and Ferreira, A.: Deep Circulation in the North Atlantic from Ocean Bottom Seismometer Noise: Insights from the UPFLOW/iReverb Project, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-8826,, 2024.