Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Prototype wireless sensors for monitoring subsurface processes in snow and firn

Bagshaw, Elizabeth, Karlsson, N B, Lok, L B, Lishman, B, Clare, L, Nicholls, K W, Burrow, S, Wadham, J L, Eisen, O, Corr, H, Brennan, P and Dahl-Jenson, D 2018. Prototype wireless sensors for monitoring subsurface processes in snow and firn. Journal of Glaciology 64 (248) , pp. 887-896. 10.1017/jog.2018.76

[img]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (727kB) | Preview

Abstract

The detection and monitoring of meltwater within firn presents a significant monitoring challenge. We explore the potential of small wireless sensors (ETracer+, ET+) to measure temperature, pressure, electrical conductivity and thus the presence or absence of meltwater within firn, through tests in the dry snow zone at the East Greenland Ice Core Project site. The tested sensor platforms are small, robust and low cost, and communicate data via a VHF radio link to surface receivers. The sensors were deployed in low-temperature firn at the centre and shear margins of an ice stream for 4 weeks, and a ‘bucket experiment’ was used to test the detection of water within otherwise dry firn. The tests showed the ET+ could log subsurface temperatures and transmit the recorded data through up to 150 m dry firn. Two VHF receivers were tested: an autonomous phase-sensitive radio-echo sounder (ApRES) and a WinRadio. The ApRES can combine high-resolution imaging of the firn layers (by radio-echo sounding) with in situ measurements from the sensors, to build up a high spatial and temporal resolution picture of the subsurface. These results indicate that wireless sensors have great potential for long-term monitoring of firn processes.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Earth and Ocean Sciences
Publisher: Cambridge University Press
ISSN: 0022-1430
Date of First Compliant Deposit: 26 October 2018
Date of Acceptance: 18 October 2018
Last Modified: 26 Feb 2019 15:26
URI: http://orca.cf.ac.uk/id/eprint/116205

Citation Data

Cited 1 time in Google Scholar. View in Google Scholar

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics