5766 20241203112928.0 10.1016/j.epsl.2022.117502 DOI SCART-2022-0059 Caudron, C. Insights into the dynamics of the 2010 Eyjafjallajökull eruption using seismic interferometry and network covariance matrix analyses 2022 Applying seismic interferometry and network covariance matrix-based analyses to detect and locate the source of volcanic tremor during the 2010 Eyjafjallajökull effusive flank and explosive-effusive summit eruptions has provided new insights into this iconic event. The tremor source locations derived from the network covariance matrix approach were spatially distinct during the two eruptions. The tremor was radiated between the surface and 5–6 km depth during the effusive flank eruption, including an apparently progressive upward migration in early April 2010, but was strictly confined to the surface during the summit eruption. Each phase of the summit eruption left a distinct fingerprint in the seismic records. Effusive phases radiated continuous tremor between 0.6 and 5 Hz, whereas explosive phases produced tremor in a more pulsating fashion over a wider frequency band (0.2–10 Hz). A period of intermittent tremor bursts (called banded tremor) on 15 April, associated with formation of a new vent at the summit, was most likely generated by magma-gas-meltwater interaction within a subglacial enclosure. The banded tremor ceased following an abrupt draining of the newly formed subglacial cauldron, resulting in a large slurry glacial meltwater flood (jökulhlaup). This study highlights the importance of new data processing methodologies for future monitoring of volcanic tremor in real-time. RANNIS/ 185209-051/ IS-Noise NO seismic noise interferometry ambient noise volcanology volcano-seismology eruption Soubestre, J. Lecocq, T. White, R.S. Brandsdóttir, B. Krischer, L. Earth and Planetary Science Letters 585 2022 117502 thomas.lecocq@observatoire.be https://www.sciencedirect.com/science/article/pii/S0012821X22001388 62562 http://publi2-as.oma.be/record/5766/files/1-s2.0-S0012821X22001388-gr006.jpg Network covariance matrix spectral width: Time-frequency spectral width plot representing the phase coherence of vertical component signals recorded at stations EBAS, EFAG, EFIM, ENUP, ESEL, ESK, GOD, HAU, HVO and MID, from 5 March to 22 May 2010, computed on 9 min-long windows. The periods I, II, III and IV correspond to the phases defined by Gudmundsson et al. (2012). 13597 http://publi2-as.oma.be/record/5766/files/1-s2.0-S0012821X22001388-gr006.gif?subformat=icon icon Network covariance matrix spectral width: Time-frequency spectral width plot representing the phase coherence of vertical component signals recorded at stations EBAS, EFAG, EFIM, ENUP, ESEL, ESK, GOD, HAU, HVO and MID, from 5 March to 22 May 2010, computed on 9 min-long windows. The periods I, II, III and IV correspond to the phases defined by Gudmundsson et al. (2012). 7407 http://publi2-as.oma.be/record/5766/files/1-s2.0-S0012821X22001388-gr006.jpg?subformat=icon-180 icon-180 Network covariance matrix spectral width: Time-frequency spectral width plot representing the phase coherence of vertical component signals recorded at stations EBAS, EFAG, EFIM, ENUP, ESEL, ESK, GOD, HAU, HVO and MID, from 5 March to 22 May 2010, computed on 9 min-long windows. The periods I, II, III and IV correspond to the phases defined by Gudmundsson et al. (2012). published in REFERD