C43B-0802
Towards Quantification of Glacier Dynamic Ice Loss through Passive Seismic Monitoring

Thursday, 17 December 2015
Poster Hall (Moscone South)
Andreas Köhler1, Christopher Nuth1, Christian Weidle2, Johannes Schweitzer3, Jack Kohler4 and Giusi Buscaino5, (1)University of Oslo, Oslo, Norway, (2)Institute of Geo Sciences, Kiel, Germany, (3)NORSAR, Kjeller, Norway, (4)Norwegian Polar Institute, Tromsø, Norway, (5)CNR Institute for Coastal Marine Environment, Granitola, Italy
Abstract:

Global glaciers and ice caps loose mass through calving, while existing models are currently not equipped to realistically predict dynamic ice loss. This is mainly because long-term continuous calving records, that would help to better understand fine scale processes and key climatic-dynamic feedbacks between calving, climate, terminus evolution and marine conditions, do not exist. Combined passive seismic/acoustic strategies are the only technique able to capture rapid calving events continuously, independent of daylight or meteorological conditions. We have produced such a continuous calving record for Kronebreen, a tidewater glacier in Svalbard, using data from permanent seismic stations between 2001 and 2014. However, currently no method has been established in cryo-seismology to quantify the calving ice loss directly from seismic data. Independent calibration data is required to derive 1) a realistic estimation of the dynamic ice loss unobserved due to seismic noise and 2) a robust scaling of seismic calving signals to ice volumes. Here, we analyze the seismic calving record at Kronebreen and independent calving data in a first attempt to quantify ice loss directly from seismic records. We make use of a) calving flux data with weekly to monthly resolution obtained from satellite remote sensing and GPS data between 2007 and 2013, and b) direct, visual calving observations in two weeks in 2009 and 2010. Furthermore, the magnitude-scaling property of seismic calving events is analyzed. We derive and discuss an empirical relation between seismic calving events and calving flux which for the first time allows to estimate a time series of calving volumes more than one decade back in time. Improving our model requires to incorporate more precise, high-resolution calibration data. A new field campaign will combine innovative, multi-disciplinary monitoring techniques to measure calving ice volumes and dynamic ice-ocean interactions simultaneously with terrestrial laser scanning and a temporary seismic/underwater-acoustic network.