Projects per year
Abstract
Calibration and validation of satellite-derived ice sheet albedo data require high-quality, in-situ measurements commonly acquired by up- and down-facing pyranometers mounted on automated weather stations (AWS). However, direct comparison between ground and satellite-derived albedo can only be justified when the measured surface is homogeneous at the length-scale of both satellite pixel and in-situ footprint. Here, we use digital imagery acquired by an unmanned aerial vehicle to evaluate point-to-pixel albedo comparisons across the western, ablating margin of the Greenland Ice Sheet. Our results reveal that in-situ measurements overestimate albedo by up to 0.10 at the end of the melt-season because the ground footprints of AWS-mounted pyranometers are insufficient to capture the spatial heterogeneity of the ice surface as it progressively ablates and darkens. Statistical analysis of 21 AWS across the entire Greenland Ice Sheet reveals that almost half suffer from this bias, including some AWS located within the wet snow zone
Original language | English |
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Pages (from-to) | 6218-6225 |
Journal | Geophysical Research Letters |
Volume | 44 |
Issue number | 12 |
Early online date | 09 Jun 2017 |
DOIs | |
Publication status | Published - 28 Jun 2017 |
Keywords
- Albedo
- Greenland Ice sheet
- MODIS
- automated weather stations
- UAV
- remote sensing
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Dive into the research topics of 'How robust are in-situ observations for validating satellite-derived albedo over the dark zone of the Greenland Ice Sheet?'. Together they form a unique fingerprint.Student theses
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UAV investigation of surface and tidewater mass loss processes across the Greenland Ice Sheet
Ryan, J. (Author), Snooke, N. (Supervisor) & Hubbard, A. (Supervisor), 2018Student thesis: Doctoral Thesis › Doctor of Philosophy
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Projects
- 1 Finished
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Black and Bloom; variation in the albedo of the Greenland Ice Sheet as a result of interactionns between microbes and particulates
Irvine-Fynn, T. (PI)
Natural Environment Research Council
01 Jul 2015 → 30 Sept 2021
Project: Externally funded research