Released
Dataset

Glacier dynamic ice loss quantified through seismic eyes (CALVINGSEIS) – Dataset

Cite as:

Köhler, Andreas; Weidle, Christian; Nuth, Christopher (2019): Glacier dynamic ice loss quantified through seismic eyes (CALVINGSEIS) – Dataset. GFZ Data Services. http://doi.org/10.5880/GIPP.201604.1

Status

I   N       R   E   V   I   E   W : Köhler, Andreas; Weidle, Christian; Nuth, Christopher (2019): Glacier dynamic ice loss quantified through seismic eyes (CALVINGSEIS) – Dataset. GFZ Data Services. http://doi.org/10.5880/GIPP.201604.1

Abstract

Glacial contribution to eustatic sea level rise is currently dominated by loss of the smaller glaciers and ice caps, about 40% of which are tidewater glaciers that lose mass through calving ice bergs. The most recent predictions of glacier contribution to sea level rise over the next century are strongly dependent upon models that are able to project individual glacier mass changes globally and through time. A relatively new promising technique for monitoring glacier calving is through the use of passive seismology. CalvingSEIS aims to produce high temporal resolution, continuous calving records for the glaciers in Kongsfjord, Svalbard, and in particular for the Kronebreen glacier laboratory through innovative, multi-disciplinary monitoring techniques combining fields of seismology and bioacoustics to detect and locate individual calving events autonomously and further to develop methods for the quantification of calving ice volumes directly from the seismic and acoustic signals.

Contributors

Geophysical Instrumentation Pool Potsdam (GIPP)

Keywords

geology, icequakes, glacier monitoring, cryo-seismology

GCMD Science Keywords

More Metadata

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          • affiliation: Institutt for geofag, Universitetet i Oslo, PB 1047, 0316 Oslo, Norway
        • creator
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          • affiliation: Institut für Geowissenschaften, Christian-Albrechts-Universität zu Kiel, Otto-Hahn-Platz 1, 24118 Kiel
        • creator
          • creatorName: Nuth, Christopher
          • affiliation: Institutt for geofag, Universitetet i Oslo, PB 1047, 0316 Oslo, Norway
      • titles
        • title (xml:lang=eng): Glacier dynamic ice loss quantified through seismic eyes (CALVINGSEIS) – Dataset
      • publisher: GFZ Data Services
      • publicationYear: 2019
      • subjects
        • subject: icequakes
        • subject: glacier monitoring
        • subject: cryo-seismology
      • contributors
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        • date (dateType=Available): 2020-10-01/2
        • date (dateType=Collected): 2016-04/2016-09
      • language: eng
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      • descriptions
        • description (descriptionType=Abstract): Glacial contribution to eustatic sea level rise is currently dominated by loss of the smaller glaciers and ice caps, about 40% of which are tidewater glaciers that lose mass through calving ice bergs. The most recent predictions of glacier contribution to sea level rise over the next century are strongly dependent upon models that are able to project individual glacier mass changes globally and through time. A relatively new promising technique for monitoring glacier calving is through the use of passive seismology. CalvingSEIS aims to produce high temporal resolution, continuous calving records for the glaciers in Kongsfjord, Svalbard, and in particular for the Kronebreen glacier laboratory through innovative, multi-disciplinary monitoring techniques combining fields of seismology and bioacoustics to detect and locate individual calving events autonomously and further to develop methods for the quantification of calving ice volumes directly from the seismic and acoustic signals.
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      • Entry_Title: Glacier dynamic ice loss quantified through seismic eyes (CALVINGSEIS) – Dataset
      • Data_Set_Citation
        • Dataset_Creator: Köhler, Andreas; Weidle, Christian; Nuth, Christopher
        • Dataset_Title: Glacier dynamic ice loss quantified through seismic eyes (CALVINGSEIS) – Dataset
        • Dataset_Release_Date: 2019
        • Dataset_Release_Place: Potsdam, Germany
        • Dataset_Publisher: GFZ Data Services
        • Online_Resource: http://dx.doi.org/10.5880/GIPP.201604.1
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        • Topic: SOLID EARTH
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      • Keyword: glacier monitoring
      • Keyword: cryo-seismology
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          • Last_Name: Deutsches GeoForschungsZentrum GFZ
      • Summary
        • Abstract: Glacial contribution to eustatic sea level rise is currently dominated by loss of the smaller glaciers and ice caps, about 40% of which are tidewater glaciers that lose mass through calving ice bergs. The most recent predictions of glacier contribution to sea level rise over the next century are strongly dependent upon models that are able to project individual glacier mass changes globally and through time. A relatively new promising technique for monitoring glacier calving is through the use of passive seismology. CalvingSEIS aims to produce high temporal resolution, continuous calving records for the glaciers in Kongsfjord, Svalbard, and in particular for the Kronebreen glacier laboratory through innovative, multi-disciplinary monitoring techniques combining fields of seismology and bioacoustics to detect and locate individual calving events autonomously and further to develop methods for the quantification of calving ice volumes directly from the seismic and acoustic signals.
      • Metadata_Name: DIF
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  • escidoc:  /  download xml
    • resource
      • title (xml:lang=eng): Glacier dynamic ice loss quantified through seismic eyes (CALVINGSEIS) – Dataset
      • date (dateType=Available): 2020-10-01/2
      • creator
        • creatorName: Köhler, Andreas
        • affiliation: Institutt for geofag, Universitetet i Oslo, PB 1047, 0316 Oslo, Norway
      • creator
        • creatorName: Weidle, Christian
        • affiliation: Institut für Geowissenschaften, Christian-Albrechts-Universität zu Kiel, Otto-Hahn-Platz 1, 24118 Kiel
      • creator
        • creatorName: Nuth, Christopher
        • affiliation: Institutt for geofag, Universitetet i Oslo, PB 1047, 0316 Oslo, Norway

Location

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        License: CC BY-SA 4.0

        End of moratorium: 2020-10-01/2

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