UPLFOW ocean bottom seismometers data: preliminary performance report
- 1UCL, Earth Sciences, London, UK (maria.tsekhmistrenko@gmail.com)
- 2Spanish Navy Observatory, Jerez de la Frontera, Andalusia, Spain
- 3GFZ Potsdam, Albert-Einstein-Straße 42-46, 14473 Potsdam, Germany
- 4Universität Potsdam Institut für Geowissenschaften, Karl-Liebknecht-Straße 24-25, 14476 Potsdam, Germany
- 5Instituto Português do Mar e da Atmosfera (IPMA), Rua C do Aeroporto, 1749-077 Lisboa, Portugal
- *A full list of authors appears at the end of the abstract
We present preliminary results from the UPFLOW (Upward mantle flow from novel seismic observations; https://upflow-eu.github.io/) project and associated large-scale amphibian experiment. The UPFLOW project, funded by the European Research Council (2021-2026), led a passive seismology large-scale experiment in the Azores-Madeira-Canary region starting in July 2021 and ending in September 2022.
We recovered 49 (out of 50) OBSs deployed in a ~1,000×2,000 km2 area and with an average station spacing of ~150-200 km. Most instruments have three-component wideband seismic sensors (Trillium compact OBS version with a corner period of 120 s) and broadband hydrophones (type HTI-01 and HTI-04-PCA/ULF) with a corner period of typically 100 seconds. Three different designs of OBS frames were used LOBSTER, NAMMU and DUNE. We achieved data recovery rates of ~90-100% in 37 stations and ~50% in 6 stations, with only 7 stations being faulty, highly problematic or lost.
We present various illustrative examples of seismic waveforms, spectrograms and data quality analysis from the recovered OBS data. Systematic probability power spectra density (PPSD) plots for all stations and over the whole deployment show a marked improvement in the quality of the long-period data (T>~30s) compared to previous experiments.
We analyse the data performance as a function of the three models of OBS, recorder and seismometer types. Additionally, we present initial results from: (i) noise correlation analysis to quantify the clock skew during the deployment; (ii) estimation of horizontal component rotation angles from teleseismic data (body and surface waves); and, (iii) tilt and compliance analysis.
Finally, we present an initial set of ~6000 multi-frequency body-wave travel time measurements generated with the UPFLOW OBS data and show a glimpse of preliminary body wave tomographic models built with this new dataset.
Ana M. G. Ferreira (1), Miguel Miranda (2), Sameneh Baranbooei (3), Roberto Cabieces Diaz (4), Mafalda Carapuço (2), Carlos Corela (5), José Luis Duarte (5), Amy Edgington (1), Henrique Ferreira (2), Wolfram H. Geissler (6), Katrina Harris (1), Stephen Hicks (1), Kasra Hosseini (1), Frank Krueger (7), Dietrich Lange (8), Afonso Loureiro (9), Peter Makus (10), Augustin Marignier (1), Marta Neres (2), Luis Ramos (2), Theresa Rhein (7), Alex Saoulis (1), David Schlaphorst (5), Frederik Tilmann (10), Maria Tsekhmistrenko (1), Kuan-Yu Ke (10). Affiliations: (1) UCL, UK; (2) IPMA, Portugal; (3) DIAS, Dublin, Ireland; 4) ROA, Spain; (5) Instituto Dom Luis (IDL), Portugal; (6) Alfred Wegener Institut (AWI), Germany; (7) University of Potsdam, Germany; (8) GEOMAR, Germany; (9) Instituto Superior de Engenharia de Lisboa (ISEL), Portugal; (10) GFZ, Germany.
How to cite: Tsekhmistrenko, M., Diaz, R., Harris, K., Tilmann, F., Krüger, F., Ferreira, A., and Miranda, M. and the UPFLOW Team: UPLFOW ocean bottom seismometers data: preliminary performance report, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-8108, https://doi.org/10.5194/egusphere-egu23-8108, 2023.
