Articles | Volume 11, issue 6
https://doi.org/10.5194/tc-11-2611-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-11-2611-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Quantifying bioalbedo: a new physically based model and discussion of empirical methods for characterising biological influence on ice and snow albedo
Department of Geography, University of Sheffield, Winter Street,
Sheffield, UK
College of Life and Natural Sciences, University of Derby, Kedleston
Road, Derby, UK
Andrew J. Hodson
Department of Geography, University of Sheffield, Winter Street,
Sheffield, UK
University Centre in Svalbard (UNIS), Svalbard, Norway
Alex S. Gardner
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, USA
Mark Flanner
Department of Climate and Space Sciences and Engineering, University
of Michigan, Ann Arbor, MI 48105, USA
Andrew J. Tedstone
Centre for Glaciology, University of Bristol, Bristol, UK
Christopher Williamson
Centre for Glaciology, University of Bristol, Bristol, UK
Tristram D. L. Irvine-Fynn
Centre for Glaciology, Aberystwyth University, Aberystwyth, Wales, UK
Johan Nilsson
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, USA
Robert Bryant
Department of Geography, University of Sheffield, Winter Street,
Sheffield, UK
Martyn Tranter
Centre for Glaciology, University of Bristol, Bristol, UK
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47 citations as recorded by crossref.
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- Observations and modelling of algal growth on a snowpack in north-western Greenland Y. Onuma et al. 10.5194/tc-12-2147-2018
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- Remote Sensing Phenology of Antarctic Green and Red Snow Algae Using WorldView Satellites A. Gray et al. 10.3389/fpls.2021.671981
- Spectral characterization, radiative forcing and pigment content of coastal Antarctic snow algae: approaches to spectrally discriminate red and green communities and their impact on snowmelt A. Khan et al. 10.5194/tc-15-133-2021
- Algal growth and weathering crust state drive variability in western Greenland Ice Sheet ice albedo A. Tedstone et al. 10.5194/tc-14-521-2020
- Microbial genomics amidst the Arctic crisis A. Edwards et al. 10.1099/mgen.0.000375
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- Ice algal bloom development on the surface of the Greenland Ice Sheet C. Williamson et al. 10.1093/femsec/fiy025
- An experimental assessment of active and passive dispersal of red snow algae on the Harding Icefield, southcentral Alaska M. Rea & R. Dial 10.1080/15230430.2024.2370905
- Marked Seasonal Changes in the Microbial Production, Community Composition, and Biogeochemistry of Glacial Snowpack Ecosystems in the Maritime Antarctic A. Hodson et al. 10.1029/2020JG005706
- What color should glacier algae be? An ecological role for red carbon in the cryosphere R. Dial et al. 10.1093/femsec/fiy007
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- Remote sensing of albedo-reducing snow algae and impurities in the Maritime Antarctica P. Huovinen et al. 10.1016/j.isprsjprs.2018.10.015
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8 citations as recorded by crossref.
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- Change detection of bare-ice albedo in the Swiss Alps K. Naegeli et al. 10.5194/tc-13-397-2019
- Greenland Ice Sheet Surface Mass Loss: Recent Developments in Observation and Modeling M. van den Broeke et al. 10.1007/s40641-017-0084-8
- Factors controlling the net ecosystem production of cryoconite on Western Himalayan glaciers M. Shamurailatpam et al. 10.1007/s10533-022-00998-6
- Glacier Algae: A Dark Past and a Darker Future C. Williamson et al. 10.3389/fmicb.2019.00524
- Microorganisms Associated With Dust on Alpine Snow Z. Courville et al. 10.3389/feart.2020.00122
- Dark ice dynamics of the south-west Greenland Ice Sheet A. Tedstone et al. 10.5194/tc-11-2491-2017
Discussed (final revised paper)
Latest update: 19 Nov 2024
Short summary
Biological growth darkens snow and ice, causing it to melt faster. This is often referred to as
bioalbedo. Quantifying bioalbedo has not been achieved because of difficulties in isolating the biological contribution from the optical properties of ice and snow, and from inorganic impurities in field studies. In this paper, we provide a physical model that enables bioalbedo to be quantified from first principles and we use it to guide future field studies.
Biological growth darkens snow and ice, causing it to melt faster. This is often referred to as...