Bowdoin Glacier borehole temperature data

These data contain temperature observation made between July 2014 and July 2017 in three boreholes drilled 2 km from the calving front of Bowdoin Glacier (Kangerluarsuup Sermia) in northwestern Greenland. Reference: J. Seguinot, M. Funk, A. Bauder, T. Wyder, C. Senn and S. Sugiyama. Englacial warmin...

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Bibliographic Details
Main Authors: Seguinot, Funk, Bauder, Wyder, Senn, Sugiyama
Format: Dataset
Language:English
Published: 2020
Subjects:
ice
Online Access:https://zenodo.org/record/3695961
https://doi.org/10.5281/zenodo.3695961
Description
Summary:These data contain temperature observation made between July 2014 and July 2017 in three boreholes drilled 2 km from the calving front of Bowdoin Glacier (Kangerluarsuup Sermia) in northwestern Greenland. Reference: J. Seguinot, M. Funk, A. Bauder, T. Wyder, C. Senn and S. Sugiyama. Englacial warming indicates deep crevassing in Bowdoin Glacier, Greenland, Frontiers in Earth Sciences, 8:65, doi:10.3389/feart.2020.00065, 2020. File names: bowdoin.bh{1|2|3}.{inc|pzm|thr}.{dept|temp}.csv Borehole locations: bh1: drilled 2 km from the calving front 2014-07-16: 77.6912 °N, 68.5557 °E, 89 m 2016-07-19: 77.6855 °N, 68.5681 °E, 63 m 2017-07-14: 77.6832 °N, 68.5748 °E, 58 m bh2: drilled 7 m away from BH1 2014-07-17: 77.6913 °N, 68.5557 °E, 88 m 2016-07-19: 77.6856 °N, 68.5680 °E, 60 m 2017-07-14: 77.6833 °N, 68.5748 °E, 57 m bh3: drilled 158 m downstream of BH1 2014-07-22: 77.6900 °N, 68.5589 °E, 83 m 2016-07-19: 77.6843 °N, 68.5726 °E, 43 m 2017-07-14: 77.6819 °N, 68.5800 °E, 54 m Instrument types: inc: digital inclinometers pzm: basal piezometers thr: thermistor strings Variables: dept: initial sensor depth according to remaining cable lenghts temp: temperature times series after recalibration Data format: The data use comma-separated plain text format (csv). Negative depths imply that sensors are located on the glacier surface. Sensor depths higher than the borehole depths imply that cables are not fully stretched. The data can be read by e.g. Pandas using: pd.read_csv(filename, parse_dates=True, index_col='date') Changelog: Version 1: Initial version. This work was supported by the Swiss National Science Foundation (SNSF) grants 200020-169558 and 200021-153179/1, and the Japanese Ministry of Education, Culture, Sports, Science of Technology through the GRENE Arctic Climate Change Research Project and Arctic Challenge for Sustainability (ArCS) project.