Abstract

AbstractDebris surface temperature is a function of debris characteristics and energy fluxes at the debris surface. However, spatial and temporal variability in debris surface temperature, and the debris properties that control it, are poorly constrained. Here, near‐surface debris temperature (Ts) is reported for 16 sites across the lower elevations of Khumbu Glacier, Nepal Himalaya, for the 2014 monsoon season. The debris layer at all sites was ≥1 m thick. We confirm the occurrence of temporal and spatial variability in Ts over a 67‐day period and investigate its controls. Ts was found to exhibit marked temporal fluctuations on diurnal, short‐term (1–8 days) and seasonal timescales. Over the study period, two distinct diurnal patterns in Ts were identified that varied in timing, daily amplitude and maximum temperature; days in the latter half of the study period (after Day of Year 176) exhibited a lower diurnal amplitude (mean = 23°C) and reduced maximum temperatures. Days with lower amplitude and minimum Ts were concurrent with periods of increased seasonal variability in on‐glacier air temperature and incoming shortwave radiation, with the increased frequency of these periods attributed to increasing cloud cover as the monsoon progressed. Spatial variability in Ts was manifested in variability of diurnal amplitude and maximum Ts of 7°C to 47°C between sites. Local slope, debris clast size and lithology were identified as the most important drivers of spatial variability in Ts, with inclusion of these three variables in the stepwise general linear models resulting in R2 ≥0.89 for six out of the seven sites. The complexity of surface energy fluxes and their influence on Ts highlight that assuming a simplified relationship between air temperature and debris surface temperature in glacier melt models, and a direct relationship between debris surface temperature and debris thickness for calculating supraglacial debris thickness, should be undertaken with caution. © 2018 The Authors. Earth Surface Processes and Landforms published by John Wiley & Sons Ltd.

Highlights

  • Debris-covered glaciers exhibit a continuous mantle of rock debris over the full width of at least some of their ablation zone (Kirkbride et al, 2011)

  • None of the models were improved through inclusion of site curvature or roughness, which may be due to the resolution of the digital elevation model (DEM) causing specific site metrics to be less than exact

  • The linear bivariate regression (LBR) analysis results (Table 8) show that the relationship between Ts variables and debris characteristics identified as influential in the stepwise generalised linear models (SGLMs) were not statistically significant in isolation

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Summary

Introduction

Debris-covered glaciers exhibit a continuous mantle of rock debris over the full width of at least some of their ablation zone (Kirkbride et al, 2011). These glaciers are common in mountainous regions across the world, including in the European Alps While a thin layer of debris below a critical thickness causes an increase in ablation due to a reduction of the surface albedo (Nakawo and Rana, 1999), ablation exponentially decreases with increasing debris thickness above a critical thickness, as the debris layer inhibits glacier melting by attenuating and reducing thermal energy transfer to the underlying ice surface (Brock et al, 2010; Mihalcea et al, 2008a; Nicholson and Benn, 2006; Reid et al, 2012). Little focus has been given to the influence of spatial and temporal variability in surface temperature across supraglacial debris layers, which can be affected by incoming energy fluxes and debris properties including albedo, surface roughness, sediment porosity, and moisture content (Reznichenko et al, 2010; Evatt et al, 2015; Rounce et al, 2015)

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