Quantifying bioalbedoa new physically based model and discussions of empirical methods for characterising biological influence on ice and snow albedo

Authors Organisations
  • Joseph M. Cook(Author)
    University of Sheffield
    University of Derby
  • Andrew J. Hodson(Author)
    University of Sheffield
    University Centre in Svalbard
  • Alex S. Gardner(Author)
    Jet Propulsion Laboratory, California Institute of Technology
  • Mark Flanner(Author)
    University of Michigan
  • Andrew Tedstone(Author)
    University of Bristol
  • Christopher Williamson(Author)
    University of Bristol
  • Tristram Irvine-Fynn(Author)
  • Johan Nilsson(Author)
    Jet Propulsion Laboratory, California Institute of Technology
  • Robert Bryant(Author)
    University of Sheffield
  • Martin Tranter(Author)
    University of Bristol
Type Article
Original languageEnglish
Pages (from-to)2611-2632
JournalCryosphere
Volume11
Issue number6
DOI
Publication statusPublished - 17 Nov 2017
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Abstract

The darkening effects of biological impurities on ice and snow have been recognised as a control on the surface energy balance of terrestrial snow, sea ice, glaciers and ice sheets. With a heightened interest in understanding the impacts of a changing climate on snow and ice processes, quantifying the impact of biological impurities on ice and snow albedo (bioalbedo) and its evolution through time is a rapidly growing field of research. However, rigorous quantification of bioalbedo has remained elusive because of difficulties in isolating the biological contribution to ice albedo from that of inorganic impurities and the variable optical properties of the ice itself. For this reason, isolation of the biological signature in reflectance data obtained from aerial/orbital platforms has not been achieved, even when ground-based biological measurements have been available. This paper provides the cell-specific optical properties that are required to model the spectral signatures and broadband darkening of ice. Applying radiative transfer theory, these properties provide the physical basis needed to link biological and glaciological ground measurements with remotely sensed reflectance data. Using these new capabilities we confirm that biological impurities can influence ice albedo, then we identify 10 challenges to the measurement of bioalbedo in the field with the aim of improving future experimental designs to better quantify bioalbedo feedbacks. These challenges are (1) ambiguity in terminology, (2) characterising snow or ice optical properties, (3) characterising solar irradiance, (4) determining optical properties of cells, (5) measuring biomass, (6) characterising vertical distribution of cells, (7) characterising abiotic impurities, (8) surface anisotropy, (9) measuring indirect albedo feedbacks, and (10) measurement and instrument configurations. This paper aims to provide a broad audience of glaciologists and biologists with an overview of radiative transfer and albedo that could support future experimental design