Thermodynamics of a fast-moving Greenlandic outlet glacier revealed by fiber-optic distributed temperature sensing

Funding: This research was funded by the European Research Council as part of the RESPONDER project under the European Union’s Horizon 2020 research and innovation program (grant 683043). R.L. and T.R.C. were supported by Natural Environment Research Council Doctoral Training Partnership studentships (grant NE/ L002507/1). B.H. was supported by a HEFCW/Aberystwyth University Capital Equipment Grant.Measurements of ice temperature provide crucial constraints on ice viscosity and the thermodynamic processes occurring within a glacier. However, such measurements are presently limited by a small number of relatively coarse-spatial-resolution borehole records, especially for ice sheets. Here, we advance our understanding of glacier thermodynamics with an exceptionally high-vertical-resolution (~0.65 m), distributed-fiber-optic temperature-sensing profile from a 1043-m borehole drilled to the base of Sermeq Kujalleq (Store Glacier), Greenland. We report substantial but isolated strain heating within interglacial-phase ice at 208 to 242 m depth together with strongly heterogeneous ice deformation in glacial-phase ice below 889 m. We also observe a high-strain interface between glacial- and interglacial-phase ice and a 73-m-thick temperate basal layer, interpreted as locally formed and important for the glacier's fast motion. These findings demonstrate notable spatial heterogeneity, both vertically and at the catchment scale, in the conditions facilitating the fast motion of marine-terminating glaciers in Greenland.Publisher PDFPeer reviewe

Correction: des Tombe, B., et al. Estimation of Temperature and Associated Uncertainty from Fiber-Optic Raman-Spectrum Distributed Temperature Sensing. Sensors 2020, 20, 2235

The authors wish to make the following two corrections to this paper [...

bdestombe/python-dts-calibration: v0.5.0

More efficient calculation of the varianc

DTS measurements supporting a DTS calibration paper.

DTS measurements supporting a dts calibration paper. File should be read with https://github.com/dtscalibration/python-dts-calibration . A selection of 500 samples, double ended, 2 seconds acquisition time each way, sections are defined in netCDF

Dtscalibration Python package for calibrating distributed temperature sensing measurements

A Python package to load raw Distributed Temperature Sensing (DTS) files, perform a calibration, and plot the result

Dtscalibration Python package for calibrating distributed temperature sensing measurements

A Python package to load raw Distributed Temperature Sensing (DTS) files, perform a calibration, and plot the result

Dtscalibration Python package for calibrating distributed temperature sensing measurements

A Python package to load raw Distributed Temperature Sensing (DTS) files, perform a calibration, and plot the result

Correction: des Tombe, B., et al. Estimation of Temperature and Associated Uncertainty from Fiber-Optic Raman-Spectrum Distributed Temperature Sensing. <i>Sensors</i> 2020, <i>20</i>, 2235

The authors wish to make the following two corrections to this paper [...

dtscalibration/python-dts-calibration: v0.7.0

0.7.0 (2019-11-07) Ensure order of dimension upon initialization of DataStore. Resampling would lead to issues Bug in section definition (reported by Robert Law) Rewritten calibration solvers to align with article of this package Removed old calibration solvers New possibilities of saving and loading large DataStores saved to multiple netCDF file