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  • 1
    Publication Date: 2023-06-14
    Description: Abstract
    Description: We present an outstanding record of local, dense Large-N seismic and distributed acoustic sensor observations of a meteoroid from July 2, 2021 in Iceland. Our dataset includes high-quality observations from seven small aperture arrays of few hundred meters, an infrasound array, and a rotational station, all located within the distance range of 300 km. The high-frequency data show a variety of different phases associated with the source process along the atmospheric trajectory, including impulsive negative 1 first ground motions, a complex coda wave train about 2.5 s long thereafter, an azimuth-dependent stopping phase with reversed polarity between 1-25 s after the first arrival, which is resolved over only a few kilometers. The ground motion amplitude between the first and last arrivals is generally elevated. We associate the waveform in the 2.5 s coda with meteor-atmosphere interactions and nonlinear plasma processes that produce an oscillating shock-wave source pulse. Our data suggest a small azimuth-dependent deflection or dispersion of this source pulse, which may be related to the meteoroid’s deceleration in the atmosphere. We present a finite-length kinematic line-source pulse model that consistently explains the different phases inside and outside the Mach cone segment of our images, their wave amplitude variations, and a polarity change between the first phase and the terminating phase. The previously undiscovered rich directivity effects can also explain seemingly contradictory, time-dependent wave energy beam-directions at the various small aperture arrays and along the DAS cable. A combination of conventional locations and a Bayesian inversion of first and stopping phase arrivals led to a precise localization of the meteor trajectory.
    Keywords: Large-N seismometers networks ; Distributed fibre optic sensing ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 METEORITES ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 METEORITES 〉 METEORITE ORIGIN
    Type: Dataset , Dataset
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  • 2
    Publication Date: 2024-02-23
    Description: Abstract
    Description: Strokkur_1yr is a one year seismological experiment realized at the most active geyser on Iceland by Eva Eibl (University of Potsdam) in collaboration with Thomas R. Walter, Phillippe Jousset, Torsten Dahm, Masoud Allahbakhshi, Daniel Müller from GFZ Potsdam and Gylfi P. Hersir from ISOR Iceland. The geyser is part of the Haukadalur geothermal area in south Iceland, which contains numerous geothermal anomalies, hot springs, and basins (Walter et al., 2018). Strokkur is a pool geyser and has a silica sinter edifice with a water basin on top, which is about 12 m in diameter with a central tube of more than 20 m depth. The aim of the seismic experiment is to monitor eruptions of Strokkur geyser from June 2017 to June 2018 using four broadband seismic stations (Nanometrics Trillium Compact Posthole 20 s). Sensors were buried 30–40 cm deep in the ground at distances of 38.8 m (G4, SE), 47.3 m (G3, SW), 42.5 m (G2, N), and 95.5 m (G1, NE) from Strokkur center. Data gaps represent 15–44 % of the records as during the winter period maintenance intervals were longer and battery drainage was high. However, at any given time, at least one station recorded the eruptions. From this dataset, converted to MSEED using Pyrocko, a catalogue of 70,000 eruptions was determined and further investigated in Eibl et al. (2020) Waveform data are available from the GEOFON data centre, under network code 7L.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Monitoring system ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~100G
    Format: .mseed
    Format: XML
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  • 3
    Publication Date: 2023-06-12
    Description: Abstract
    Description: The Fagradalsfjall eruption from 19 March to 18 September 2021 featured lava fountaining episodes from 2 May to 14 June. These episodes were recorded as tremor pulses on our broadband seismic station NUPH (Nanometrics Trillium Compact 120s) at 5.5 km southeast of the active vent. We used the seismic data bandpass filtered between 1 and 4 Hz to mark the start and end of 7058 tremor pulses. The catalog hence comprises 14116 markers, that are statistically further evaluated in Eibl et al. (in review). From 2 May to 14 June, several changes in pulse duration and repose time were found and used to subdivide this time interval into 6 periods with characteristic pulse pattern. We find exponentially decreasing pulse durations, coexisting short and long pulses and stable pulse durations superimposed by gradually increasing or suddenly decreasing repose times. We discuss the findings in the context of an evolving shallow-conduit container, the crater geometries, partial collapses from the crater rim and the amount of accumulating outgassed magma in Eibl et al. (in review). This data publications releases the catalog of 14116 tremor pulses /lava fountaining episodes.
    Description: Methods
    Description: We installed a Trillium Compact 120 s seismometer (Nanometrics) as station NUPH (9F seismic network) at the southeast corner of Núpshlídarháls 5.5 km southeast of the eruptive site in Geldingadalir, Iceland. The instrument stood on a concrete base slab shielded from wind and rain using a bucket partly covered by rocks. The instrument was powered using batteries from 16 March, solar panels from 24 March and a wind generator at 10 m distance from 6 April 2021. Data were sampled at 200 Hz, they were stored on a Datacube and regularly downloaded. We used a compass to align the instrument to geographic north.
    Keywords: eruption catalogue ; Iceland ; seismology ; volcanic tremor ; lava fountaining ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 TECTONIC LANDFORMS 〉 GEYSER ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE OCCURRENCES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Dataset
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  • 4
    Publication Date: 2023-07-12
    Description: Abstract
    Description: From June to August 2021 the DEEPEN project deployed a dense seismic nodal network across the Hengill geothermal area in southwest Iceland to image and characterize faults and high-temperature zones at high resolution. The nodal network comprised 498 geophone nodes spread across the northern Nesjavellir and southern Hverahlíð geothermal fields and was complemented by an existing permanent and temporary backbone seismic network of a total of 44 short-period and broadband stations. In addition, two fiber optic telecommunication cables near the Nesjavellir geothermal power plant were interrogated with commercial DAS-interrogators. During the time of deployment, a vibroseis survey took place around the Nesjavellir power plant. The here published dataset contains a subset of the downsampled DAS-recordings from the eastern fiber optic array. To save storage space, only every fourth trace was made available. The original data were downsampled from 1000Hz to 250 Hz using the das-convert tool (https://doi.org/10.5880/GFZ.2.1.2021.005). Further traces or the original data can be obtained upon request. Waveform data are available from the GEOFON data centre, under network code ZH.
    Keywords: DAS ; Monitoring system ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~110G
    Format: .mseed
    Format: XML
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  • 5
    Publication Date: 2023-10-06
    Description: Abstract
    Description: Two subglacial lakes in the western part of Vatnajökull ice cap, southeastern Iceland, 10 and 15 km WNW of Grímsvötn volcano, are the source of regular jökulhlaups in the Skaftá river. The eastern cauldron featured a jökulhlaup that started on 30 September 2015. The seismic signals generated by the flood were recorded using two seismic arrays (clusters of seismometers) operated by the Dublin Institute for Advanced Studies (DIAS) and the Icelandic Meteorological Office’s national seismic network, SIL. The arrays were maintained outside Vatnajökull ice cap. In the Vatnajökull region, the SIL network consists of stations that are partly installed on nunataks and within the ice. We performed array-processing in the frequency domain (FK-analysis) on data filtered 1.2 to 2.6 Hz using the array-processing code as implemented in Obspy to derive back azimuth and slownesses of a tremor source propagating with the flood front. We perform beam stacking in the time domain on data filtered from 5 to 20 Hz to derive the back-azimuth of high-frequency transients moving with the flood front. We used the SIL network for location and magnitude determination of 45 events near the cauldron and the flood path. These are possibly 22 icequakes and 23 earthquakes. We used the array data to apply an STA/LTA filter and template matching approach on data filtered from 1 to 15 Hz to detect 669 events associated with the flood. 30% of these could be clustered into families and are likely due to the ice-shelf collapse once the subglacial lake drained. These catalogs are further discussed and evaluated in Eibl et al. 2020 and Eibl et al. 2023. This data publications releases the catalogs of (i) tremor, (ii) located events and (iii) STA/LTA detected and clustered events.
    Keywords: Iceland ; seismology ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE OCCURRENCES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY
    Type: Dataset , Dataset
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  • 6
    Publication Date: 2024-02-21
    Description: Abstract
    Description: The Bransfield Strait is a seismically active extensional rift located between the Antarctic Peninsula and the South Shetland Islands. The Strait is partly located on continental crust including areas within the transition to seafloor spreading. The amphibious seismic network BRAVOSEIS is an international effort focused on the seismological research of submarine volcanoes and rift dynamics in the Bransfield Strait. This network is the onshore component of the entire network consisting of 15 broadband land stations deployed in the South Shetland Islands and Antarctic Peninsula between January 2018 and February 2020. The offshore components (network code ZX) include 9 broadband ocean bottom seismometers (OBS) across the Central Bransfield Basin and a group of 6 hydrophone moorings spanning the rift area of 200 x 100 km2, with inter-station distance of ~30 km. Additionally, a smaller offshore array consisting of 15 short-period OBSs with an aperture of 20 km and a narrow inter-station distance of ~4 km was deployed around the Orca submarine volcanic edifice south of King George Island. The data will be used to study the geodynamics of the Bransfield Strait and the evolution of the incipient rifting zone in the domain where extension has been suggested. Seismological methods will include earthquake location, source mechanism, surface wave analysis with ambient noise and earthquake data, receiver function and shear wave splitting. The results may shed light on the crustal structure and tectonic regime in the region and image the location and extent of magma accumulations related to submarine volcanic structures. Finally, the results should provide clues to assess the internal processes that occur in the submarine volcanoes of the area undergoing rifting. Waveform data are available from the GEOFON data centre, under network code 5M, and are embargoed until March 2024.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~1T
    Format: .mseed
    Format: XML
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  • 7
    Publication Date: 2024-02-23
    Description: Abstract
    Description: IMAGE is a two year seismological experiment realized at the Reykjanes Peninsula by Philippe Jousset (GFZ Potsdam) and Gylfi P. Hersir (ISOR Iceland). Reykjanes Peninsula is located at the southwestern tip of Iceland, at the emergent part of the Mid-oceanic Ridge. This area has a high seismicity and is exploited for its high geothermal potential. The deployment is performed to carry out a local seismological study with techniques such as seismic tomography (earthquake based, e.g. Jousset et al., 2016, and ambient noise e.g., Martins et al., 2020). The aim of the seismic experiment is to monitor the seismic activity associated with the rift processes (Blank et al., 2020) and/or the induced seismicity. The network comprised 30 onland stations (GIPP) and 21 Ocean Bottom Seismometers (Lobsters, DEPAS). Onland stations were deployed from April 2014 until August 2015 and comprise 20 broadband seismic stations (Nanometrics Trillium Compact 120 s), 10 short-period sensors (Mark sensors 1 Hz) and data loggers (DATA-CUBE) with acquisition frequencies of 200 Hz. Sensors were buried 30-40 cm deep in the ground in containers. Data gaps are minimal, and occurred every 3 months when the batteries were exchanged and data downloaded from the DATA-CUBEs. OBS were deployed in August 2014 and recorded for about a year. From this dataset, a catalogue of about 2000 earthquakes could be extracted. Waveform data are available from the GEOFON data centre, under network code 4L.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Monitoring system ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~3.2T
    Format: .mseed
    Format: XML
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  • 8
    Publication Date: 2024-04-11
    Description: Abstract
    Description: In January 2020, a swarm of earthquakes started under Thorbjorn volcano, Reykjanes, SW Iceland, associated to the uplift of up to 0.5 cm per day. Concern in Iceland was growing and the Iceland Meteorological Office suggested at that time that possibly magma intruded in the crust at shallow depth (3 to 9 km). The first eruption occurred on 19.03.2021, followed by many others in the foolwing years. The GFZ started a seismological Hazard and Risk Team (HART), as soon as February 2020 in cooperation with IMO, ISOR and the University of Iceland. The interrogator was located in Grindavik and was connected to a standard telecom cable. The full data dataset of this 5J network comprise 250 Tb of raw data. The standard infrastructure is not designed for such large data set. Therefore, we implement here several datasets, corresponding to several processing and associated publications. Specific full data set is available upon request to the authors. In Flovenz et al., 2022, the data subset comprise a selection of wave-forms recorded along an optical fibre of 21 km length. The subset consists of 40 channels at 100 Hz (spatially stacked 9x). The whole time period from January until August 2020 is covered, with a total size of 496 GB. The data is MiniSEED at 4096 bytes record length with STEIM2. In Maass et al., 2024, the data subset consists of two sections of contiguous channels (1701-2000 and 3921-4218, spatial sampling 4 meters) of dynamic strain rate down sampled at 5 Hz. The whole time period from January until August 2020 is covered, with a total size of 340 GB. The data is MiniSEED at 4096 bytes record length with STEIM2.
    Keywords: fibre optics ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; Passive seismic ; Local network ; Temporary ; Volcano ; Velocity ; DAS ; MiniSEED
    Type: Dataset , Seismic Network
    Format: ~500G
    Format: .mseed
    Format: XML
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  • 9
    Publication Date: 2024-05-08
    Description: Abstract
    Description: Strokkur is a pool geyser in southwest Iceland that erupts every 3.7 minutes. Eruptions start with a blue water bulge that soon turns white (bulge phase) before the water bubble bursts into a jetting water fountain (jet phase). We measured the bulge rising velocity and height and fountain rising velocity and height using video cameras and drones from GFZ and the accompanying ground motion using seismometers from the University of Potsdam. We publish the derived products from video data and seismic data here.
    Keywords: geyser ; eruption ; geothermal ; geothermal tremor ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Photon/Optical Detectors 〉 Cameras 〉 VIDEO CAMERA ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOTHERMAL DYNAMICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY 〉 ERUPTION DYNAMICS ; science 〉 natural science 〉 earth science 〉 geophysics
    Type: Dataset , Dataset
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  • 10
    Publication Date: 2024-05-27
    Description: Abstract
    Description: The Geldingadalir 2021 eruption in Iceland started on 19 March and ended on 18 September. It featured nearly 9000 lava fountain episodes of minute to day duration that were all accompanied by seismic tremor. We measured the duration, repose time, tremor amplitude and shape using seismometers from the University of Potsdam. We publish the corresponding catalogs that contain information about these episodes. Periodically, aerial surveys were conducted by the University of Iceland using unoccupied aerial systems (UAS). These surveys lead to digital surface models (DSM), orthomosaics, and 3D models. These products were used to supplement the seismic observations.
    Keywords: eruption ; seismic tremor ; EARTH SCIENCE 〉 HUMAN DIMENSIONS 〉 NATURAL HAZARDS 〉 VOLCANIC ERUPTIONS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY 〉 ERUPTION DYNAMICS ; monitoring 〉 seismic monitoring
    Type: Dataset , Dataset
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