Released
DatasetGlacier dynamic ice loss quantified through seismic eyes (CALVINGSEIS) – Datasets
Cite as:
Köhler, Andreas; Weidle, Christian; Nuth, Christopher (2019): Glacier dynamic ice loss quantified through seismic eyes (CALVINGSEIS) – Datasets. GFZ Data Services. https://doi.org/10.5880/GIPP.201604.1Status
I N R E V I E W : Köhler, Andreas; Weidle, Christian; Nuth, Christopher (2019): Glacier dynamic ice loss quantified through seismic eyes (CALVINGSEIS) – Datasets. GFZ Data Services. https://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.Authors
Contact
- Köhler, Andreas; Institutt for geofag, Universitetet i Oslo, Oslo, Norway
Contributors
Geophysical Instrumentation Pool Potsdam (GIPP)Keywords
icequakes, glacier monitoring, cryo-seismology, geology, 201604, CALVINGSEISGCMD Science Keywords
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