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Glacier dynamic ice loss quantified through seismic eyes (CALVINGSEIS) - Report

Authors

Köhler,  Andreas
External Organizations;
Publikationen aller GIPP-unterstützten Projekte, Deutsches GeoForschungsZentrum;
Scientific Technical Report STR Data, Deutsches GeoForschungsZentrum;

Weidle,  Christian
External Organizations;
Publikationen aller GIPP-unterstützten Projekte, Deutsches GeoForschungsZentrum;
Scientific Technical Report STR Data, Deutsches GeoForschungsZentrum;

Nuth,  Christopher
External Organizations;
Publikationen aller GIPP-unterstützten Projekte, Deutsches GeoForschungsZentrum;
Scientific Technical Report STR Data, Deutsches GeoForschungsZentrum;

External Ressource

http://doi.org/10.5880/GIPP.201604.1
(Supplementary material)

Fulltext (public)

STR_1903_GIPP.pdf
(Publisher version), 543KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Köhler, A., Weidle, C., Nuth, C. (2019): Glacier dynamic ice loss quantified through seismic eyes (CALVINGSEIS) - Report, (Scientific Technical Report STR - Data ; 19/03)(GIPP Experiment- and Data Archive), Potsdam : GFZ German Research Centre for Geosciences, 10 p.
https://doi.org/10.2312/GFZ.b103-19038


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_3937891
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.