Quantifying bioalbedo:a new physically-based model and critique of empirical methods for characterizing biological influence on ice and snow albedo
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 t...
Published in: | The Cryosphere |
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Language: | English |
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2017
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Online Access: | https://hdl.handle.net/1983/673836eb-7a33-46c2-88bf-9ce5fcd7da8b https://research-information.bris.ac.uk/en/publications/673836eb-7a33-46c2-88bf-9ce5fcd7da8b https://doi.org/10.5194/tc-11-2611-2017 https://research-information.bris.ac.uk/ws/files/146264435/tc_11_2611_2017.pdf http://www.scopus.com/inward/record.url?scp=85032986042&partnerID=8YFLogxK |
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ftubristolcris:oai:research-information.bris.ac.uk:publications/673836eb-7a33-46c2-88bf-9ce5fcd7da8b 2024-05-12T08:10:57+00:00 Quantifying bioalbedo:a new physically-based model and critique of empirical methods for characterizing biological influence on ice and snow albedo Cook, Joseph M Hodson, Andrew Gardner, Alex S. Flanner, Mark Tedstone, Andrew Williamson, Christopher Irvine-Fynn, Tristram D.L. Nilsson, Johan Bryant, Robert Tranter, Martyn 2017-12 application/pdf https://hdl.handle.net/1983/673836eb-7a33-46c2-88bf-9ce5fcd7da8b https://research-information.bris.ac.uk/en/publications/673836eb-7a33-46c2-88bf-9ce5fcd7da8b https://doi.org/10.5194/tc-11-2611-2017 https://research-information.bris.ac.uk/ws/files/146264435/tc_11_2611_2017.pdf http://www.scopus.com/inward/record.url?scp=85032986042&partnerID=8YFLogxK eng eng https://research-information.bris.ac.uk/en/publications/673836eb-7a33-46c2-88bf-9ce5fcd7da8b info:eu-repo/semantics/openAccess Cook , J M , Hodson , A , Gardner , A S , Flanner , M , Tedstone , A , Williamson , C , Irvine-Fynn , T D L , Nilsson , J , Bryant , R & Tranter , M 2017 , ' Quantifying bioalbedo : a new physically-based model and critique of empirical methods for characterizing biological influence on ice and snow albedo ' , Cryosphere , vol. 11 , no. 6 , pp. 2611-2632 . https://doi.org/10.5194/tc-11-2611-2017 article 2017 ftubristolcris https://doi.org/10.5194/tc-11-2611-2017 2024-04-17T14:26:36Z 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 (<q>bioalbedo</q>) 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 ... Article in Journal/Newspaper Sea ice University of Bristol: Bristol Research The Cryosphere 11 6 2611 2632 |
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Open Polar |
collection |
University of Bristol: Bristol Research |
op_collection_id |
ftubristolcris |
language |
English |
description |
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 (<q>bioalbedo</q>) 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 ... |
format |
Article in Journal/Newspaper |
author |
Cook, Joseph M Hodson, Andrew Gardner, Alex S. Flanner, Mark Tedstone, Andrew Williamson, Christopher Irvine-Fynn, Tristram D.L. Nilsson, Johan Bryant, Robert Tranter, Martyn |
spellingShingle |
Cook, Joseph M Hodson, Andrew Gardner, Alex S. Flanner, Mark Tedstone, Andrew Williamson, Christopher Irvine-Fynn, Tristram D.L. Nilsson, Johan Bryant, Robert Tranter, Martyn Quantifying bioalbedo:a new physically-based model and critique of empirical methods for characterizing biological influence on ice and snow albedo |
author_facet |
Cook, Joseph M Hodson, Andrew Gardner, Alex S. Flanner, Mark Tedstone, Andrew Williamson, Christopher Irvine-Fynn, Tristram D.L. Nilsson, Johan Bryant, Robert Tranter, Martyn |
author_sort |
Cook, Joseph M |
title |
Quantifying bioalbedo:a new physically-based model and critique of empirical methods for characterizing biological influence on ice and snow albedo |
title_short |
Quantifying bioalbedo:a new physically-based model and critique of empirical methods for characterizing biological influence on ice and snow albedo |
title_full |
Quantifying bioalbedo:a new physically-based model and critique of empirical methods for characterizing biological influence on ice and snow albedo |
title_fullStr |
Quantifying bioalbedo:a new physically-based model and critique of empirical methods for characterizing biological influence on ice and snow albedo |
title_full_unstemmed |
Quantifying bioalbedo:a new physically-based model and critique of empirical methods for characterizing biological influence on ice and snow albedo |
title_sort |
quantifying bioalbedo:a new physically-based model and critique of empirical methods for characterizing biological influence on ice and snow albedo |
publishDate |
2017 |
url |
https://hdl.handle.net/1983/673836eb-7a33-46c2-88bf-9ce5fcd7da8b https://research-information.bris.ac.uk/en/publications/673836eb-7a33-46c2-88bf-9ce5fcd7da8b https://doi.org/10.5194/tc-11-2611-2017 https://research-information.bris.ac.uk/ws/files/146264435/tc_11_2611_2017.pdf http://www.scopus.com/inward/record.url?scp=85032986042&partnerID=8YFLogxK |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Cook , J M , Hodson , A , Gardner , A S , Flanner , M , Tedstone , A , Williamson , C , Irvine-Fynn , T D L , Nilsson , J , Bryant , R & Tranter , M 2017 , ' Quantifying bioalbedo : a new physically-based model and critique of empirical methods for characterizing biological influence on ice and snow albedo ' , Cryosphere , vol. 11 , no. 6 , pp. 2611-2632 . https://doi.org/10.5194/tc-11-2611-2017 |
op_relation |
https://research-information.bris.ac.uk/en/publications/673836eb-7a33-46c2-88bf-9ce5fcd7da8b |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/tc-11-2611-2017 |
container_title |
The Cryosphere |
container_volume |
11 |
container_issue |
6 |
container_start_page |
2611 |
op_container_end_page |
2632 |
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1798854508642566144 |