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Assessing the accuracy of Greenland ice sheet ice ablation measurements by pressure transducer

Published online by Cambridge University Press:  08 September 2017

Robert S. Fausto
Affiliation:
Geological Survey of Denmark and Greenland (GEUS), Copenhagen, Denmark. E-mail: rsf@geus.dk
Dirk Van As
Affiliation:
Geological Survey of Denmark and Greenland (GEUS), Copenhagen, Denmark. E-mail: rsf@geus.dk
Andreas P. Ahlstrøm
Affiliation:
Geological Survey of Denmark and Greenland (GEUS), Copenhagen, Denmark. E-mail: rsf@geus.dk
Michele Citterio
Affiliation:
Geological Survey of Denmark and Greenland (GEUS), Copenhagen, Denmark. E-mail: rsf@geus.dk
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Abstract

We present a method of measuring ice ablation using an absolute pressure transducer as part of an automatic weather station (AWS) system, which we have installed in 17 locations on the Greenland ice sheet. The pressure transducer assembly is drilled into the ice, enclosed in a hose filled with antifreeze liquid. The pressure signal registered by the transducer is that of the vertical column of liquid over the sensor, which can be translated to depth, and ice ablation rate, knowing the density of the liquid. Measuring at sub-daily timescales, this assembly is well suited to monitoring ice ablation in remote regions, with clear advantages over other, well-established methods. The pressure transducer system has the potential to monitor ice ablation for several years without re-drilling, and the system is suitable for high-ablation areas (>5ma-1). A routine to transform raw measurements into ablation values is presented, including a physically based method to remove air-pressure variability from the signal. The pressure transducer time series is compared to that recorded by a sonic ranger for the climatically hostile setting on the Greenland ice sheet.

Information

Type
Instruments and Methods
Copyright
Copyright © International Glaciological Society 2012
Figure 0

Fig. 1. Graphic representation of the pressure transducer assembly.

Figure 1

Fig. 2. Map of Greenland showing the locations of PROMICE AWS with PTA. Each dot represents a minimum of two stations of which the lower one is labeled ‘_L’ and the upper one ‘_U’.

Figure 2

Fig. 3. PROMICE AWS set-up from UPE_L photographed on 17 August 2009: 1. radiometer; 2. inclinometer; 3. satellite antenna; 4. anemometer; 5. sonic rangers; 6. thermometer and hygrometer; 7. PTA; 8. solar panel; 9. data logger, barometer and GPS; 10. battery box with 4˟ 28 Ah batteries; 11. eight-level thermistor string.

Figure 3

Table 1. PROMICE automatic weather stations with a PTA (status 2011)

Figure 4

Table 2. PTA vs manual on-site hose measurement (m ice eq.) relative to the ice surface

Figure 5

Fig. 4. Calibrated ice height measurements by pressure transducer at AWS SCO_L before (black) and after barometric pressure compensation (blue). Barometric pressure at the stations is given in red.

Figure 6

Table 3. Root-mean-square difference (RMSD; cm ice eq.) and correlation coefficient (r2; %) between PTA and sonic ranger

Figure 7

Fig. 5. Ice level measurements before and after calibration plus barometric pressure compensation (PTA-corrected) for the full measurement period of SCO_L.

Figure 8

Fig. 6. a) Ice height change in time as measured by pressure transducer, and surface height change as measured by sonic ranger (dashed lines) at SCO_L. (b) Scatter plots comparing ablation measured by pressure transducer and sonic ranger (SR) for SCO_L. The red line x = y is shown for reference.