Počet záznamů: 1  

Moho depths beneath the European Alps: a homogeneously processed map and receiver functions database

  1. 1.
    0572945 - GFÚ 2024 RIV DE eng J - Článek v odborném periodiku
    Michailos, K. - Hetényi, G. - Scarponi, Matteo - Stipčević, J. - Bianchi, I. - Bonatto, L. - Czuba, W. - Di Bona, M. - Govoni, A. - Hannemann, K. - Janik, T. - Kalmár, D. - Kind, R. - Link, F. - Lucente, F. P. - Monna, S. - Montuori, C. - Mroczek, S. - Paul, A. - Piromallo, C. - Plomerová, Jaroslava - Rewers, J. - Salimbeni, S. - Tilmann, F. - Środa, P. - Vergne, J.
    Moho depths beneath the European Alps: a homogeneously processed map and receiver functions database.
    Earth System Science Data. Roč. 15, č. 5 (2023), s. 2117-2138. ISSN 1866-3508. E-ISSN 1866-3516
    Grant CEP: GA ČR(CZ) GA21-25710S
    Institucionální podpora: RVO:67985530
    Klíčová slova: crustal structure * Eastern Alps * mantle structure
    Obor OECD: Volcanology
    Impakt faktor: 11.4, rok: 2022
    Způsob publikování: Open access
    https://essd.copernicus.org/articles/15/2117/2023/

    We use seismic waveform data from the AlpArray Seismic Network and three other temporary seismic networks, to perform receiver function (RF) calculations and time-to-depth migration to update the knowledge of the Moho discontinuity beneath the broader European Alps. In particular, we set up a homogeneous processing scheme to compute RFs using the time-domain iterative deconvolution method and apply consistent quality control to yield 112 205 high-quality RFs. We then perform time-to-depth migration in a newly implemented 3D spherical coordinate system using a European-scale reference P and S wave velocity model. This approach, together with the dense data coverage, provide us with a 3D migrated volume, from which we present migrated profiles that reflect the first-order crustal thickness structure. We create a detailed Moho map by manually picking the discontinuity in a set of orthogonal profiles covering the entire area. We make the RF dataset, the software for the entire processing workflow, as well as the Moho map, openly available. These open-access datasets and results will allow other researchers to build on the current study.
    Trvalý link: https://hdl.handle.net/11104/0343475

     
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