2008
DOI: 10.1029/2008gl035855
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Automated monitoring of subglacial hydrological processes with ground‐penetrating radar (GPR) at high temporal resolution: scope and potential pitfalls

Abstract: Kulessa, B., A.D. Booth, A. Hobbs, and A.L. Hubbard. (2008). Automated monitoring of subglacial hydrological processes with ground-penetrating radar (GPR) at high temporal resolution: scope and potential pitfalls. Geophysical Research Letters 35 (24), L24502.We demonstrate that automated GPR techniques can monitor, at repeat timescales of minutes, hydrological processes beneath glaciers experiencing perennial surface melting. At Grubengletscher, Swiss Alps, melt penetrates into porous near-surface ice during t… Show more

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Cited by 20 publications
(27 citation statements)
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“…To resolve changes in IRP with depth, IRP* was also averaged over 50 m depth intervals (equivalent to tnormalftnormali=595 ns in equation ) for each sounding, denoted trueIRPn*, where n represents the upper limit of the depth interval of interest (m). To account for variations in the reflection power of overlying ice, we applied a local correction similar to those applied by Jania et al () and Kulessa et al (): ctrueIRPn*=trueIRPn*1emtrueIRP0n*, where trueIRP0n* is the depth‐averaged standardized IRP from 0 to n m. By applying the local correction, targets where the overlying IRP is high are adjusted to account for the lower amount of energy transmitted to the target depth, and vice versa. This method has the added benefit of partially accounting for variations in transmitted energy or antenna‐surface coupling.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…To resolve changes in IRP with depth, IRP* was also averaged over 50 m depth intervals (equivalent to tnormalftnormali=595 ns in equation ) for each sounding, denoted trueIRPn*, where n represents the upper limit of the depth interval of interest (m). To account for variations in the reflection power of overlying ice, we applied a local correction similar to those applied by Jania et al () and Kulessa et al (): ctrueIRPn*=trueIRPn*1emtrueIRP0n*, where trueIRP0n* is the depth‐averaged standardized IRP from 0 to n m. By applying the local correction, targets where the overlying IRP is high are adjusted to account for the lower amount of energy transmitted to the target depth, and vice versa. This method has the added benefit of partially accounting for variations in transmitted energy or antenna‐surface coupling.…”
Section: Methodsmentioning
confidence: 99%
“…To resolve changes in IRP with depth, IRP * was also averaged over 50 m depth intervals (equivalent to t f −t i = 595 ns in equation (6)) for each sounding, denoted IRP * n , where n represents the upper limit of the depth interval of interest (m). To account for variations in the reflection power of overlying ice, we applied a local correction similar to those applied by Jania et al (2005) and Kulessa et al (2008):…”
Section: Internal Radar Reflection Power and Englacial Hydrologymentioning
confidence: 99%
“…This is evacuated and progressively exhausted through the melt season such that the degree of daily clockwise hysteresis may reduce (Clifford et al, 1995;Hodgkins, 1996;Mao & Carrillo, 2017;Riihimaki, MacGregor, Anderson, Anderson, & Loso, 2005;Stott, Nuttall, & Biggs, 2014). It may also reduce due to the development of more channelized subglacial streams which reduce meltwater access to the bed of the glacier where sediment has accumulated and hence reduces sediment supply (Gimbert, Tsai, Amundson, Bartholomaus, & Walter, 2016;Kulessa, Booth, Hobbs, & Hubbard, 2008;Mair, Nienow, Sharp, Wohlleben, & Willis, 2002;Nienow et al, 1998;Swift, Nienow, Spedding, & Hoey, 2002).…”
Section: Fertilization Of Sediments By Biofilmsmentioning
confidence: 99%
“…The quantity and distribution of this stored water is important because water content has a strong influence on ice rheology (Duval, 1977), affecting the contribution (rate and amount) of internal ice deformation to net glacier motion. These effects are difficult to predict because water content often varies spatially (Macheret and Glazovsky, 2000;Murray et al, 2000) and temporally (Jacobel and Raymond, 1984;Macheret and Glazovsky, 2000;Irvine-Fynn et al, 2006;Kulessa et al, 2008).…”
Section: Introductionmentioning
confidence: 99%