Upward mantle flow from novel seismic observations (UPFLOW)

DOI

The goal of the UPFLOW project is to develop new high-resolution seismic imaging approaches along with new data collection, and to use them to constrain upward flow in unprecedented detail. We conducted a large off-shore experiment in the Azores-Madeira-Canary Islands region, which is a unique natural laboratory with multiple upwellings that are poorly understood in general. UPFLOW deployed and recovered 49 ocean bottom seismometers (OBSs) in a ~1,000×2,000 km2 area in the Azores-Madeira-Canary Islands region starting in July 2021 for ~13 months, with an average spacing of ~150-200 km. The seismic deployment and recovery involved institutions from five different countries: Portugal (IPMA, IDL, Univ. of Lisbon, ISEL), Ireland (DIAS), UK (UCL), Spain (ROA) and Germany (Potsdam University, GFZ, Geomar, AWI). 32 OBSs were rented from the DEPAS international pool of instruments maintained by the Alfred Wegener Institute (Bremerhaven), Germany, while other institutions borrowed additional instruments (7 from DIAS, 4 from IDL, 3 from ROA, 4 from GEOMAR). Most of the instruments have three-component wideband seismic sensors, but three different designs of OBS frames were used. Waveform data is available from the GEOFON data centre, under network code 8J, embargoed data may be accessible upon request. We want to acknowledge the exceptional support of the whole team of able seaman, steward, cooks, engineers, mechanicians, electricians and motorman assistants of the vessel RRV Mário Ruivo. With special Thanks to José Ângelo Gomes (Captain), Luís Ramos (Superintendent), Mafalda Carapuço Vessel’s manager (IPMA), Henrique Ferreira Land logistics (IPMA), Celine Ahmed and Jen Amery (Administrative support at UCL)

Identifier
DOI https://doi.org/10.14470/3W055238
Related Identifier HasMetadata https://geofon.gfz-potsdam.de/waveform/archive/response/8J/2021_2023
Related Identifier IsCitedBy https://cordis.europa.eu/project/id/101001601
Related Identifier IsCitedBy https://doi.org/10.3030/101001601
Related Identifier IsDescribedBy https://marioruivo.ipma.pt/en/home-page/
Related Identifier IsDescribedBy https://www.ipgp.fr/~crawford/Documents/OBS_data_standards.pdf
Related Identifier IsDocumentedBy https://doi.org/10.17815/jlsrf-3-165
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:7907
Provenance
Creator Ferreira, Ana M. G. ORCID logo
Publisher GFZ Data Services
Contributor Deutsches GeoForschungsZentrum GFZ; GEOFON Data Centre; geofon(at)gfz-potsdam.de; DIAS; IDL; ROA; GEOMAR; University College London, Great Britain; Miguel Miranda; Sameneh Baranbooei; Roberto Cabieces Diaz; Carlos Corela; José Luis Duarte; Henrique Ferreira; Wolfram H. Geissler; Katrina Harris; Stephen Hicks; Kasra Hosseini; Kuan-Yu Ke; Frank Krueger; Dietrich Lange; Afonso Loureiro; Peter Makus; Augustin Marignier; Marta Neres; Luis Ramos; Theresa Rein; Alex Saoulis; David Schlaphorst; Frederik Tilmann; Maria Tsekhmistrenko; José Ângelo Gomes (Captain); Luís Ramos (Superintendent); Mafalda Carapuço Vessel’s manager (IPMA); Henrique Ferreira Land logistics (IPMA); Celine Ahmed and Jen Amery (Administrative support at UCL)
Publication Year 2024
Funding Reference European Research Council https://doi.org/10.13039/501100000781 Crossref Funder ID 101001601 https://cordis.europa.eu/project/id/101001601
Rights embargoed access; Creative Commons Attribution 4.0 International; https://vocabularies.coar-repositories.org/access_rights/c_f1cf/; https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Contact geofon(at)gfz-potsdam.de
Representation
Language English
Resource Type Seismic Network; Dataset
Format .mseed; XML; application/vnd.fdsn.mseed; application/xml
Size 2700GB
Discipline Seismology
Spatial Coverage (79.000W, 7.000S, 82.000E, 9.000N); Azores-Madeira-Canary Islands