Articles | Volume 15, issue 5
https://doi.org/10.5194/essd-15-2117-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-2117-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
24 May 2023
Data description article |
| 24 May 2023
| 24 May 2023
Moho depths beneath the European Alps: a homogeneously processed map and receiver functions database
Konstantinos Michailos
CORRESPONDING AUTHOR
Institute of Earth Sciences, University of Lausanne, Lausanne, Switzerland
now at: Department of Earth Sciences, University of Geneva, Geneva, Switzerland
György Hetényi
Institute of Earth Sciences, University of Lausanne, Lausanne, Switzerland
Kövesligethy Radó Seismological Observatory, Institute of Earth Physics and Space Science, Budapest, Hungary
Matteo Scarponi
Institute of Earth Sciences, University of Lausanne, Lausanne, Switzerland
Institute of Geophysics, Czech Academy of Sciences, Prague, Czech Republic
Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy
Josip Stipčević
Department of Geophysics, Faculty of Science, University of Zagreb, Zagreb, Croatia
Irene Bianchi
Department of Meteorology and Geophysics, University of Vienna, Vienna, Austria
Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy
Luciana Bonatto
Department of Physics, University of La Serena, La Serena, Región de Coquimbo, Chile
Wojciech Czuba
Department of Seismic Lithospheric Research, Institute of Geophysics Polish Academy of Sciences, Warszawa, Poland
Massimo Di Bona
Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy
Aladino Govoni
Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy
Katrin Hannemann
Westfälische Wilhelms Universität Münster, Institut für Geophysik, Münster, Germany
Tomasz Janik
Department of Seismic Lithospheric Research, Institute of Geophysics Polish Academy of Sciences, Warszawa, Poland
Dániel Kalmár
Kövesligethy Radó Seismological Observatory, Institute of Earth Physics and Space Science, Budapest, Hungary
MTA FI Lendület Pannon LitH2Oscope Research Group, Institute of Earth Physics and Space Science, Budapest, Hungary
Rainer Kind
Institute for Geological Sciences, Freie Universität Berlin, Malteserstr. 74–100, 12249 Berlin, Germany
GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
Frederik Link
Institute of Geosciences, Goethe University Frankfurt, Frankfurt, Germany
Francesco Pio Lucente
Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy
Stephen Monna
Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy
Caterina Montuori
Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy
Stefan Mroczek
Institute for Geological Sciences, Freie Universität Berlin, Malteserstr. 74–100, 12249 Berlin, Germany
GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
Anne Paul
CNRS, IRD, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, Univ. Gustave Eiffel, ISTerre, 38000 Grenoble, France
Claudia Piromallo
Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy
Jaroslava Plomerová
Institute of Geophysics, Czech Academy of Sciences, Prague, Czech Republic
Julia Rewers
Department of Seismic Lithospheric Research, Institute of Geophysics Polish Academy of Sciences, Warszawa, Poland
Simone Salimbeni
Istituto Nazionale di Geofisica e Vulcanologia, Bologna, Italy
Frederik Tilmann
Institute for Geological Sciences, Freie Universität Berlin, Malteserstr. 74–100, 12249 Berlin, Germany
GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
Piotr Środa
Department of Seismic Lithospheric Research, Institute of Geophysics Polish Academy of Sciences, Warszawa, Poland
Jérôme Vergne
Institut Terre & Environnement de Strasbourg, University of Strasbourg, Strasbourg, France
A full list of authors appears at the end of the paper.
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Cited articles
Allen, R. V.: Automatic earthquake recognition and timing from single traces,
B. Seismol. Soc. Am., 68, 1521–1532, 1978. a
AlpArray Seismic Network: Eastern Alpine Seismic Investigation (EASI) –
AlpArray Complimentary Experiment, AlpArray Working Group. Other/Seismic Network [data set], https://doi.org/10.12686/ALPARRAY/XT_2014, 2014. a
AlpArray Seismic Network: AlpArray Seismic Network (AASN) temporary
component, AlpArray Working Group. Other/Seismic Network [data set], https://doi.org/10.12686/alparray/z3_2015, 2015. a
Artemieva, I. M. and Thybo, H.: EUNAseis: A seismic model for Moho and crustal
structure in Europe, Greenland, and the North Atlantic region,
Tectonophysics, 609, 97–153, https://doi.org/10.1016/j.tecto.2013.08.004, 2013. a
Beyreuther, M., Barsch, R., Krischer, L., Megies, T., Behr, Y., and Wassermann,
J.: ObsPy: A Python Toolbox for Seismology, Seismol. Res. Lett.,
81, 530–533, https://doi.org/10.1785/gssrl.81.3.530, 2010. a
Bianchi, I. and Bokelmann, G.: Seismic signature of the Alpine indentation,
evidence from the Eastern Alps, J. Geodynam., 82, 69–77,
https://doi.org/10.1016/j.jog.2014.07.005, 2014. a
Bianchi, I., Ruigrok, E., Obermann, A., and Kissling, E.: Moho topography beneath the European Eastern Alps by global-phase seismic interferometry, Solid Earth, 12, 1185–1196, https://doi.org/10.5194/se-12-1185-2021, 2021. a, b
Blundell, D. J., Freeman, R., Mueller, S., and Button, S.: A continent revealed: The European Geotraverse, structure and dynamic evolution, Cambridge University Press, 1992. a
Cassidy, J. F.: Numerical experiments in broadband receiver function
analysis, B. Seismol. Soc. Am., 82, 1453–1474,
https://doi.org/10.1785/BSSA0820031453, 1992. a, b
Chamberlain, C. J., Hopp, C. J., Boese, C. M., Warren‐Smith, E., Chambers,
D., Chu, S. X., Michailos, K., and Townend, J.: EQcorrscan: Repeating and
Near‐Repeating Earthquake Detection and Analysis in Python, Seismol.
Res. Lett., 89, 173–181, https://doi.org/10.1785/0220170151, 2018. a
Colavitti, L. and Hetényi, G.: A new approach to construct 3-D crustal
shear-wave velocity models: method description and application to the Central
Alps, Acta Geod. Geophys., 57, 529–562,
https://doi.org/10.1007/s40328-022-00394-4, 2022. a, b, c
Crameri, F.: Scientific colour maps, Zenodo [data set], https://doi.org/10.5281/zenodo.5501399, 2021. a
Department of Earth and Environmental Sciences, Geophysical Observatory, University of Munchen: BayernNetz, International Federation of Digital Seismograph Networks [data set], https://doi.org/10.7914/SN/BW, 2001. a
Diehl, T., Kissling, E., Husen, S., and Aldersons, F.: Consistent phase
picking for regional tomography models: Application to the greater Alpine
region, Geophys. J. Int., 176, 542–554,
https://doi.org/10.1111/j.1365-246X.2008.03985.x, 2009. a
Di Stefano, R., Bianchi, I., Ciaccio, M. G., Carrara, G., and Kissling, E.:
Three-dimensional Moho topography in Italy: New constraints from receiver
functions and controlled source seismology, Geochem. Geophys.
Geosyst., 12, 1–15, https://doi.org/10.1029/2011GC003649, 2011. a
EIDA: European Integrated Data Archive, EIDA [data set], http://www.orfeus-eu.org/data/eida/, last access: October 2022. a
Federal Institute for Geosciences and Natural Resources BGR: German Regional
Seismic Network (GRSN), BGR [data set], https://doi.org/10.25928/MBX6-HR74, 1976. a
Geological Survey-Provincia Autonoma di Trento: Trentino Seismic Network, International Federation of Digital Seismograph Networks [data set], https://doi.org/10.7914/SN/ST, 1981. a
Gurrola, H., Minster, J. B., and Owens, T.: The Use of Velocity Spectrum For
Stacking Receiver Functions and Imaging Upper Mantle Discontinuities,
Geophys. J. Int., 117, 427–440,
https://doi.org/10.1111/j.1365-246X.1994.tb03942.x, 1994. a
Gurrola, H., Baker, G. E., and Minster, J. B.: Simultaneous time‐domain
deconvolution with application to the computation of receiver functions,
Geophys. J. Int., 120, 537–543,
https://doi.org/10.1111/j.1365-246X.1995.tb01837.x, 1995. a
Handy, M. R., M. Schmid, S., Bousquet, R., Kissling, E., and Bernoulli, D.:
Reconciling plate-tectonic reconstructions of Alpine Tethys with the
geological-geophysical record of spreading and subduction in the Alps,
Earth-Sci. Rev., 102, 121–158, https://doi.org/10.1016/j.earscirev.2010.06.002,
2010. a
Helffrich, G.: Extended-Time Multitaper Frequency Domain Cross-Correlation
Receiver-Function Estimation, B. Seismol. Soc. Am., 96, 344–347, https://doi.org/10.1785/0120050098, 2006. a
Hetényi, G., Ren, Y., Dando, B., Stuart, G. W., Hegedűs, E.,
Kovács, A. C., and Houseman, G. A.: Crustal structure of the Pannonian
Basin: The AlCaPa and Tisza Terrains and the Mid-Hungarian Zone,
Tectonophysics, 646, 106–116, https://doi.org/10.1016/j.tecto.2015.02.004, 2015. a
Hetényi, G., Molinari, I., Clinton, J., Bokelmann, G., Bondár, I.,
Crawford, W. C., Dessa, J.-X., Doubre, C., Friederich, W., Fuchs, F.,
Giardini, D., Gráczer, Z., Handy, M. R., Herak, M., Jia, Y., Kissling,
E., Kopp, H., Korn, M., Margheriti, L., Meier, T., Mucciarelli, M., Paul, A.,
Pesaresi, D., Piromallo, C., Plenefisch, T., Plomerová, J., Ritter, J.,
Rümpker, G., Šipka, V., Spallarossa, D., Thomas, C., Tilmann, F.,
Wassermann, J., Weber, M., Wéber, Z., Wesztergom, V., and
Živčić, M.: The AlpArray Seismic Network: A Large-Scale
European Experiment to Image the Alpine Orogen, Surv. Geophys., 39,
1009–1033, https://doi.org/10.1007/s10712-018-9472-4, 2018a. a, b, c, d
Hetényi, G., Plomerová, J., Bianchi, I.,
Kampfová Exnerová, H., Bokelmann, G., Handy, M. R., and
Babuška, V.: From mountain summits to roots: Crustal structure of the
Eastern Alps and Bohemian Massif along longitude 13.3∘ E,
Tectonophysics, 744, 239–255, https://doi.org/10.1016/j.tecto.2018.07.001,
2018b. a, b, c, d, e, f, g, h, i, j, k, l, m
Hetényi, G., Plomerová, J., Bielik, M., Bokelmann, G., Csicsay, K., Czuba, W., Meier, T., Šroda, P., Wéber, Z., Wesztergom, V., and Žlebčíková, H.: Pannonian-Carpathian-Alpine Seismic Experiment, International Federation of Digital Seismograph Networks [data set], https://doi.org/10.7914/SN/ZJ_2019, 2019. a, b, c
Hunter, J. D.: Matplotlib: A 2D Graphics Environment, Computing in Science
& Engineering, 9, 90–95, https://doi.org/10.1109/MCSE.2007.55, 2007. a
International Federation of Digital Seismograph Networks: SI: Province Südtirol, FDSN [data set], https://www.fdsn.org/networks/detail/SI/, October 2022. a
Istituto Nazionale di Geofisica e Vulcanologia, INGV: Rete Sismica Nazionale
(RSN), INGV [data set], https://doi.org/10.13127/SD/X0FXNH7QFY, 2005. a
Istituto Nazionale di Oceanografia e di Geofisica Sperimentale – OGS: North-East Italy Seismic Network, FDSN [data set], https://doi.org/10.7914/SN/OX, 2016. a
Jozi Najafabadi, A., Haberland, C., Le Breton, E., Handy, M. R., Verwater,
V. F., Heit, B., and Weber, M.: Constraints on Crustal Structure in the
Vicinity of the Adriatic Indenter (European Alps) From Vp and Vp / Vs Local
Earthquake Tomography , J. Geophys. Res.-Sol. Ea., 127,
1–22, https://doi.org/10.1029/2021jb023160, 2022. a
Kalmár, D., Hetényi, G., and Bondár, I.: Moho depth analysis
of the eastern Pannonian Basin and the Southern Carpathians from receiver
functions, J. Seismol., 23, 967–982,
https://doi.org/10.1007/s10950-019-09847-w, 2019. a
Kalmár, D., Hetényi, G., Balázs, A., and Bondár, I.:
Crustal Thinning From Orogen to Back‐Arc Basin: The Structure of the
Pannonian Basin Region Revealed by P‐to‐S Converted Seismic Waves,
J. Geophys. Res.-Sol. Ea., 126, 1–24,
https://doi.org/10.1029/2020JB021309, 2021. a
Kennett, B. L. N. and Engdahl, E. R.: Traveltimes for global earthquake
location and phase identification, Geophys. J. Int., 105,
429–465, https://doi.org/10.1111/j.1365-246X.1991.tb06724.x, 1991. a
Kind, R., Schmid, S. M., Yuan, X., Heit, B., Meier, T., and the AlpArray and AlpArray-SWATH-D Working Groups: Moho and uppermost mantle structure in the Alpine area from S-to-P converted waves, Solid Earth, 12, 2503–2521, https://doi.org/10.5194/se-12-2503-2021, 2021. a
Kosarev, G., Kind, R., Sobolev, S. V., Yuan, X., Hanka, W., and Oreshin, S.:
Seismic Evidence for a Detached Indian Lithospheric Mantle Beneath Tibet,
Science, 283, 1306–1309, https://doi.org/10.1126/science.283.5406.1306, 1999. a, b
Krischer, L., Megies, T., Barsch, R., Beyreuther, M., Lecocq, T., Caudron, C.,
and Wassermann, J.: ObsPy: A bridge for seismology into the scientific
Python ecosystem, Computational Science and Discovery, 8, 0–17,
https://doi.org/10.1088/1749-4699/8/1/014003, 2015. a
Kummerow, J., Kind, R., Oncken, O., Giese, P., Ryberg, T., Wylegalla, K., and
Scherbaum, F.: A natural and controlled source seismic profile through the
Eastern Alps: TRANSALP, Earth Planet. Sc. Lett., 225, 115–129,
https://doi.org/10.1016/j.epsl.2004.05.040, 2004. a, b
Langston, C. A.: Corvallis, Oregon, crustal and upper mantle receiver
structure from teleseismic P and S waves, B. Seismol. Soc. Am., 67, 713–724, https://doi.org/10.1785/BSSA0670030713, 1977. a, b
Laske, G., Masters, G., Ma, Z., and Pasyanos, M.: Update on CRUST1.0 – A
1-degree global model of Earth's crust,
EGU General Assembly 2013, 7–12 April 2013, Vienna, Austria, EGU2013-2658, Geophys. Res. Abstr., 15, 2658, 2013. a
Levin, V. and Park, J.: P-SH conversions in a flat-layered medium with
anisotropy of arbitary orientation, Geophys. J. Int., 131,
253–266, https://doi.org/10.1111/j.1365-246X.1997.tb01220.x, 1997. a
Ligorría, J. P. and Ammon, C. J.: Iterative deconvolution and
receiver-function estimation, B. Seismol. Soc. Am., 89, 1395–1400, https://doi.org/10.1785/BSSA0890051395, 1999. a, b, c
Lombardi, D., Braunmiller, J., Kissling, E., and Giardini, D.: Moho depth and
Poisson's ratio in the Western-Central Alps from receiver functions,
Geophys. J. Int., 173, 249–264,
https://doi.org/10.1111/j.1365-246X.2007.03706.x, 2008. a, b, c
Lu, Y., Stehly, L., Brossier, R., and Paul, A.: Imaging Alpine crust using
ambient noise wave-equation tomography, Geophys. J. Int.,
222, 69–85, https://doi.org/10.1093/gji/ggaa145, 2020. a
MedNet Project Partner Institutions: Mediterranean Very Broadband Seismographic Network (MedNet), Istituto Nazionale di Geofisica e Vulcanologia (INGV) [data set], https://doi.org/10.13127/SD/FBBBTDTD6Q, 1990. a
Meier, U., Curtis, A., and Trampert, J.: Global crustal thickness from neural
network inversion of surface wave data, Geophys. J. Int.,
169, 706–722, https://doi.org/10.1111/j.1365-246X.2007.03373.x, 2007. a
Michailos, K.: rfmpy (rfmpy-v0.0.1-alpha), Zenodo [code], https://doi.org/10.5281/zenodo.7937575, 2023. a
Michailos, K., Smith, E. G. C., Chamberlain, C. J., Savage, M. K., and Townend, J.: Variations in seismogenic thickness along the central Alpine Fault, New Zealand, revealed by a decade's relocated microseismicity, Geochem. Geophys. Geosyst., 20, 470–486, https://doi.org/10.1029/2018GC007743, 2019. a
Michailos, K., Carpenter, N. S., and Hetényi, G.: Spatio-Temporal
Evolution of Intermediate-Depth Seismicity Beneath the Himalayas:
Implications for Metamorphism and Tectonics, Front. Earth Sci., 9,
859, https://doi.org/10.3389/feart.2021.742700, 2021. a
Michailos, K., Hetényi, G., Scarponi, M., 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, J.,
Rewers, J., Salimbeni, S., Tilmann, F., Środa, P., and Vergne, J.:
European Alps Receiver Function Database, Zenodo [data set], https://doi.org/10.5281/zenodo.7695125,
2023. a
Mohorovičić, A.: Potres od 8.X.1909, Godišnje
izvješće Zagrebačkog meteorološkog opservatorija za
godinu 1909, 9/4, 1–56, 1910. a
Molinari, I. and Morelli, A.: EPcrust: A reference crustal model for the
European Plate, Geophys. J. Int., 185, 352–364,
https://doi.org/10.1111/j.1365-246X.2011.04940.x, 2011. a, b, c
Molinari, I., Obermann, A., Kissling, E., Hetényi, G., and Boschi, L.:
3D crustal structure of the Eastern Alpine region from ambient noise
tomography, Results in Geophysical Sciences, 1–4, 100006,
https://doi.org/10.1016/j.ringps.2020.100006, 2020. a, b
Monna, S., Montuori, C., Frugoni, F., Piromallo, C., and Vinnik, L.: Moho and
LAB across the Western Alps (Europe) from P and S receiver function
analysis, J. Geophys. Res.-Sol. Ea., 127, e2022JB025141,
https://doi.org/10.1029/2022jb025141, 2022. a, b
Mooney, W. D., Laske, G., and Masters, T. G.: CRUST 5.1: A global crustal
model at 5∘ × 5∘, J. Geophys. Res.-Sol. Ea., 103, 727–747, https://doi.org/10.1029/97jb02122, 1998. a
Mroczek, S. and Tilmann, F.: Joint ambient noise autocorrelation and receiver
function analysis of the Moho, Geophys. J. Int., 225,
1920–1934, https://doi.org/10.1093/gji/ggab065, 2021. a
Mroczek, S., Tilmann, F., Pleuger, J., Yuan, X., and Heit, B.: Investigating
the Eastern Alpine–Dinaric transition with teleseismic receiver functions:
Evidence for subducted European crust, Earth Planet. Sc. Lett.,
609, 118096, https://doi.org/10.1016/j.epsl.2023.118096, 2023. a, b
Nouibat, A., Stehly, L., Paul, A., Schwartz, S., Bodin, T., Dumont, T.,
Rolland, Y., and Brossier, R.: Lithospheric transdimensional ambient-noise
tomography of W-Europe: implications for crustal-scale geometry of the
W-Alps, Geophys. J. Int., 229, 862–879,
https://doi.org/10.1093/gji/ggab520, 2022. a, b
OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale) and University of Trieste: North-East Italy Broadband Network, International Federation of Digital Seismograph Networks [data set],
https://doi.org/10.7914/SN/NI, 2002. a
Paffrath, M., Friederich, W., Schmid, S. M., Handy, M. R., and the AlpArray and AlpArray-Swath D Working Group: Imaging structure and geometry of slabs in the greater Alpine area – a P-wave travel-time tomography using AlpArray Seismic Network data, Solid Earth, 12, 2671–2702, https://doi.org/10.5194/se-12-2671-2021, 2021. a
Park, J. and Levin, V.: Receiver functions from multiple-taper spectral
correlation Estimates, B. Seismol. Soc. Am., 90,
1507–1520, https://doi.org/10.1785/0119990122, 2000. a
Pfiffner, O., Lehner, P., Heitzmann, P., Mueller, S., and Steck, A.: Deep
structure of the Swiss Alps, Birkhäuser, Basel, 380 pp., 1997. a
RESIF: RESIF-RLBP French Broad-band network, RESIF-RAP strong motion network and other seismic stations in metropolitan France, RESIF – Réseau Sismologique et géodésique Français [data set], https://doi.org/10.15778/RESIF.FR,
1995. a
Roure, F., Polino, R., and Nicolich, R.: Early Neogene deformation beneath the
Po plain: constraints on the post-collisional Alpine evolution, edited by: Roure, F., Heitzmann, P., and Polino, R., Mémoires, Société Géologique de France, Paris, 309–322, 1990. a
Ryberg, T. and Weber, M.: Receiver function arrays: a reflection seismic
approach, Geophys. J. Int., 141, 1–11,
https://doi.org/10.1046/j.1365-246X.2000.00077.x, 2000. a, b
Sadeghi-Bagherabadi, A., Vuan, A., Aoudia, A., and Parolai, S.:
High-Resolution Crustal S-wave Velocity Model and Moho Geometry Beneath the
Southeastern Alps: New Insights From the SWATH-D Experiment, Front. Earth Sci., 9, 641113, https://doi.org/10.3389/feart.2021.641113, 2021. a
Savage, M. K., Park, J., and Todd, H.: Velocity and anisotropy structure at
the Hikurangi subduction margin, New Zealand from receiver functions,
Geophys. J. Int., 168, 1034–1050,
https://doi.org/10.1111/j.1365-246X.2006.03086.x, 2007. a
Scarponi, M., Hetényi, G., Plomerová, J., Solarino, S., Baron, L.,
and Petri, B.: Joint Seismic and Gravity Data Inversion to Image
Intra-Crustal Structures: The Ivrea Geophysical Body Along the Val Sesia
Profile (Piedmont, Italy), Front. Earth Sci., 9, 671412,
https://doi.org/10.3389/feart.2021.671412, 2021. a, b, c, d
Schmid, S. M., Fügenschuh, B., Kissling, E., and Schuster, R.: Tectonic
map and overall architecture of the Alpine orogen, Eclogae Geologicae
Helvetiae, 97, 93–117, https://doi.org/10.1007/s00015-004-1113-x, 2004. a
Singer, J.: Tectonics of the Bhutan Himalaya: New Insights from Seismic
Tomographic Images of the Lithosphere, PhD thesis, ETH Zurich, 2017. a
Slovenian Environment Agency: Seismic Network of the Republic of Slovenia, International Federation of Digital Seismograph Networks [data set],
https://doi.org/10.7914/SN/SL, 1990. a
Spada, M., Bianchi, I., Kissling, E., Agostinetti, N. P., and Wiemer, S.:
Combining controlled-source seismology and receiver function information to
derive 3-D Moho topography for Italy, Geophys. J. Int.,
194, 1050–1068, https://doi.org/10.1093/gji/ggt148, 2013. a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s
Swiss Seismological Service (SED) At ETH Zurich: National Seismic Networks of Switzerland, ETH Zürich. Other/Seismic Network [data set],
https://doi.org/10.12686/SED/NETWORKS/CH, 1983. a
Vinnik, L. P.: Detection of waves converted from P to SV in the mantle,
Phys. Earth Planet. In., 15, 39–45,
https://doi.org/10.1016/0031-9201(77)90008-5, 1977. a
Waldhauser, F., Kissling, E., Ansorge, J., and Mueller, S.: Three-dimensional
interface modelling with two-dimensional seismic data: the Alpine
crust-mantle boundary, Geophys. J. Int., 135, 264–278,
https://doi.org/10.1046/j.1365-246X.1998.00647.x, 1998. a, b
Wessel, P., Luis, J. F., Uieda, L., Scharroo, R., Wobbe, F., Smith, W. H., and
Tian, D.: The Generic Mapping Tools Version 6, Geochem. Geophys.
Geosyst., 20, 5556–5564, https://doi.org/10.1029/2019GC008515, 2019. a
Yuan, X., Ni, J., Kind, R., Mechie, J., and Sandvol, E.: Lithospheric and
upper mantle structure of southern Tibet from a seismological passive source
experiment, J. Geophys. Res.-Sol. Ea., 102,
27491–27500, https://doi.org/10.1029/97JB02379, 1997. a, b
ZAMG – Zentralanstalt für Meterologie und Geodynamik: Austrian Seismic Network, International Federation of Digital Seismograph Networks [data set], https://doi.org/10.7914/SN/OE, 1987. a
Zhao, L., Zheng, T., Zhu, R., Wang, Q., Paul, A., Guillot, S., Aubert, C.,
Dumont, T., Schwartz, S., Solarino, S., Malusà, M. G., and Salimbeni,
S.: First seismic evidence for continental subduction beneath the Western
Alps, Geology, 43, 815–819, https://doi.org/10.1130/G36833.1, 2015.
a, b, c
Zhao, L., Paul, A., and Solarino, S.: Seismic network YP: CIFALPS temporary experiment (China-Italy-France Alps seismic transect),
RESIF - Réseau Sismologique et géodésique Français [data set],
https://doi.org/10.15778/RESIF.YP2012, 2016. a, b, c
Zhu, L.: Crustal structure across the San Andreas Fault, southern California
from teleseismic converted waves, Earth Planet. Sc. Lett., 179,
183–190, https://doi.org/10.1016/S0012-821X(00)00101-1, 2000. a, b
Short summary
We examine the spatial variability of the crustal thickness beneath the broader European Alpine region by using teleseismic earthquake information (receiver functions) on a large amount of seismic waveform data. We compile a new Moho depth map of the broader European Alps and make our results freely available. We anticipate that our results can potentially provide helpful hints for interdisciplinary imaging and numerical modeling studies.
We examine the spatial variability of the crustal thickness beneath the broader European Alpine...
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