2015
DOI: 10.1002/2015gl065321
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Measuring glacier surface temperatures with ground‐based thermal infrared imaging

Abstract: Spatially distributed surface temperature is an important, yet difficult to observe, variable for physical glacier melt models. We utilize ground‐based thermal infrared imagery to obtain spatially distributed surface temperature data for alpine glaciers. The infrared images are used to investigate thermal microscale processes at the glacier surface, such as the effect of surface cover type and the temperature gradient at the glacier margins on the glacier's temperature dynamics. Infrared images were collected … Show more

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Cited by 54 publications
(51 citation statements)
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“…Lacking historical humidity and solar radiation records onsite, our temperature‐index glacier module provides a reasonable estimate of glacier melt (Fernàndez & Mark, ) with the available temperature data and compares well ( R 2 = 0.67) with observed historical glacier areas by López‐Moreno et al () (Figure a). However, the glacier module does not include edge‐effect feedback, in which longwave radiation from rock surrounding the glacier plays an increasingly important role as the glacier retreats (Aubry‐Wake et al, ), or elevation feedback, in which glacier thinning lowers the elevation of the glacier surface and is subjected to higher temperatures (Weertman, ). These unaccounted feedback make our glacier melt projections conservative estimates of mass loss through time.…”
Section: Resultsmentioning
confidence: 99%
“…Lacking historical humidity and solar radiation records onsite, our temperature‐index glacier module provides a reasonable estimate of glacier melt (Fernàndez & Mark, ) with the available temperature data and compares well ( R 2 = 0.67) with observed historical glacier areas by López‐Moreno et al () (Figure a). However, the glacier module does not include edge‐effect feedback, in which longwave radiation from rock surrounding the glacier plays an increasingly important role as the glacier retreats (Aubry‐Wake et al, ), or elevation feedback, in which glacier thinning lowers the elevation of the glacier surface and is subjected to higher temperatures (Weertman, ). These unaccounted feedback make our glacier melt projections conservative estimates of mass loss through time.…”
Section: Resultsmentioning
confidence: 99%
“…The transmissivity effect was too small (τ ≈ 1) to influence the results. Therefore, the infrared radiation balance measured by the IRT can be written as (Aubry‐Wake et al, 2015) Mλ(TIRT)=Mλ(Tsoil)ε+Mλ(Trefl)(1ε) with the temperature (K) measured by the IRT ( T IRT ), the temperature of the soil ( T soil ), and of the surrounding area ( T refl ); T refl was measured for every profile using a crumbled and reflattened piece of aluminum foil in front of the object of interest, which served as Lambert reflector with a low emissivity and thereby a high reflectivity (Fokaides and Kalogirou, 2011).…”
Section: Methodsmentioning
confidence: 99%
“…et al, 2016). Ground-based thermal infrared mapping of debris-covered glaciers has already been demonstrated (Aubry-Wake et al, 2015, but the recent advances in UAV-mounted thermal cameras have not yet been explored for this type of glacier.…”
Section: Introductionmentioning
confidence: 99%