Quantifying spatiotemporal variability of glacier algal blooms and the impact on surface albedo in southwestern Greenland
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Published:2020-08-27
Issue:8
Volume:14
Page:2687-2713
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ISSN:1994-0424
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Container-title:The Cryosphere
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language:en
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Short-container-title:The Cryosphere
Author:
Wang ShujieORCID, Tedesco Marco, Alexander Patrick, Xu Min, Fettweis XavierORCID
Abstract
Abstract. Albedo reduction due to light-absorbing impurities can substantially enhance ice sheet surface melt by increasing surface absorption of solar
energy. Glacier algae have been suggested to play a critical role in darkening the ablation zone in southwestern Greenland. It was very recently found
that the Sentinel-3 Ocean and Land Colour Instrument (OLCI) band ratio R709 nm∕R673 nm can characterize the spatial patterns
of glacier algal blooms. However, Sentinel-3 was launched in 2016, and current data are only available over three melting seasons (2016–2019).
Here, we demonstrate the capability of the MEdium Resolution Imaging Spectrometer (MERIS) for mapping glacier algae from space and extend the
quantification of glacier algal blooms over southwestern Greenland back to the period 2004–2011. Several band ratio indices (MERIS chlorophyll a
indices and the impurity index) were computed and compared with each other. The results indicate that the MERIS two-band ratio index (2BDA)
R709 nm∕R665 nm is very effective in capturing the spatial distribution and temporal dynamics of glacier algal growth on
bare ice in July and August. We analyzed the interannual (2004–2011) and summer (July–August) trends of algal distribution and found significant
seasonal and interannual increases in glacier algae close to the Jakobshavn Isbrae Glacier and along the middle dark zone between the altitudes of
1200 and 1400 m. Using broadband albedo data from the Moderate Resolution Imaging Spectroradiometer (MODIS), we quantified the impact of
glacier algal growth on bare ice albedo, finding a significant correlation between algal development and albedo reduction over algae-abundant
areas. Our analysis indicates the strong potential for the satellite algal index to be used to reduce bare ice albedo biases in regional climate
model simulations.
Funder
National Science Foundation National Aeronautics and Space Administration
Publisher
Copernicus GmbH
Subject
Earth-Surface Processes,Water Science and Technology
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