A Multi-Sensor and Modeling Approach for Mapping Light Under Sea Ice During the Ice-Growth Season

Arctic sea ice is shifting from a year-round to a seasonal sea ice cover. This substantial transformation, via a reduction in Arctic sea ice extent and a thinning of its thickness, influences the amount of light entering the upper ocean. This in turn impacts under-ice algal growth and associated eco...

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Published in:Frontiers in Marine Science
Main Authors: Stroeve, Julienne, Vancoppenolle, Martin, Veyssiere, Gaelle, Lebrun, Marion, Castellani, Giulia, Babin, Marcel, Karcher, Michael, Landy, Jack, Liston, Glen E., Wilkinson, Jeremy
Other Authors: Natural Environment Research Council, National Aeronautics and Space Administration
Format: Article in Journal/Newspaper
Language:unknown
Published: Frontiers Media SA 2021
Subjects:
Online Access:http://dx.doi.org/10.3389/fmars.2020.592337
https://www.frontiersin.org/articles/10.3389/fmars.2020.592337/full
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spelling crfrontiers:10.3389/fmars.2020.592337 2024-09-09T19:19:35+00:00 A Multi-Sensor and Modeling Approach for Mapping Light Under Sea Ice During the Ice-Growth Season Stroeve, Julienne Vancoppenolle, Martin Veyssiere, Gaelle Lebrun, Marion Castellani, Giulia Babin, Marcel Karcher, Michael Landy, Jack Liston, Glen E. Wilkinson, Jeremy Natural Environment Research Council National Aeronautics and Space Administration 2021 http://dx.doi.org/10.3389/fmars.2020.592337 https://www.frontiersin.org/articles/10.3389/fmars.2020.592337/full unknown Frontiers Media SA https://creativecommons.org/licenses/by/4.0/ Frontiers in Marine Science volume 7 ISSN 2296-7745 journal-article 2021 crfrontiers https://doi.org/10.3389/fmars.2020.592337 2024-08-13T04:05:35Z Arctic sea ice is shifting from a year-round to a seasonal sea ice cover. This substantial transformation, via a reduction in Arctic sea ice extent and a thinning of its thickness, influences the amount of light entering the upper ocean. This in turn impacts under-ice algal growth and associated ecosystem dynamics. Field campaigns have provided valuable insights as to how snow and ice properties impact light penetration at fixed locations in the Arctic, but to understand the spatial variability in the under-ice light field there is a need to scale up to the pan-Arctic level. Combining information from satellites with state-of-the-art parameterizations is one means to achieve this. This study combines satellite and modeled data products to map under-ice light on a monthly time-scale from 2011 through 2018. Key limitations pertain to the availability of satellite-derived sea ice thickness, which for radar altimetry, is only available during the sea ice growth season. We clearly show that year-to-year variability in snow depth, along with the fraction of thin ice, plays a key role in how much light enters the Arctic Ocean. This is particularly significant in April, which in some regions, coincides with the beginning of the under-ice algal bloom, whereas we find that ice thickness is the main driver of under-ice light availability at the end of the melt season in October. The extension to the melt season due to a warmer Arctic means that snow accumulation has reduced, which is leading to positive trends in light transmission through snow. This, combined with a thinner ice cover, should lead to increased under-ice PAR also in the summer months. Article in Journal/Newspaper Arctic Arctic Ocean Sea ice Frontiers (Publisher) Arctic Arctic Ocean Frontiers in Marine Science 7
institution Open Polar
collection Frontiers (Publisher)
op_collection_id crfrontiers
language unknown
description Arctic sea ice is shifting from a year-round to a seasonal sea ice cover. This substantial transformation, via a reduction in Arctic sea ice extent and a thinning of its thickness, influences the amount of light entering the upper ocean. This in turn impacts under-ice algal growth and associated ecosystem dynamics. Field campaigns have provided valuable insights as to how snow and ice properties impact light penetration at fixed locations in the Arctic, but to understand the spatial variability in the under-ice light field there is a need to scale up to the pan-Arctic level. Combining information from satellites with state-of-the-art parameterizations is one means to achieve this. This study combines satellite and modeled data products to map under-ice light on a monthly time-scale from 2011 through 2018. Key limitations pertain to the availability of satellite-derived sea ice thickness, which for radar altimetry, is only available during the sea ice growth season. We clearly show that year-to-year variability in snow depth, along with the fraction of thin ice, plays a key role in how much light enters the Arctic Ocean. This is particularly significant in April, which in some regions, coincides with the beginning of the under-ice algal bloom, whereas we find that ice thickness is the main driver of under-ice light availability at the end of the melt season in October. The extension to the melt season due to a warmer Arctic means that snow accumulation has reduced, which is leading to positive trends in light transmission through snow. This, combined with a thinner ice cover, should lead to increased under-ice PAR also in the summer months.
author2 Natural Environment Research Council
National Aeronautics and Space Administration
format Article in Journal/Newspaper
author Stroeve, Julienne
Vancoppenolle, Martin
Veyssiere, Gaelle
Lebrun, Marion
Castellani, Giulia
Babin, Marcel
Karcher, Michael
Landy, Jack
Liston, Glen E.
Wilkinson, Jeremy
spellingShingle Stroeve, Julienne
Vancoppenolle, Martin
Veyssiere, Gaelle
Lebrun, Marion
Castellani, Giulia
Babin, Marcel
Karcher, Michael
Landy, Jack
Liston, Glen E.
Wilkinson, Jeremy
A Multi-Sensor and Modeling Approach for Mapping Light Under Sea Ice During the Ice-Growth Season
author_facet Stroeve, Julienne
Vancoppenolle, Martin
Veyssiere, Gaelle
Lebrun, Marion
Castellani, Giulia
Babin, Marcel
Karcher, Michael
Landy, Jack
Liston, Glen E.
Wilkinson, Jeremy
author_sort Stroeve, Julienne
title A Multi-Sensor and Modeling Approach for Mapping Light Under Sea Ice During the Ice-Growth Season
title_short A Multi-Sensor and Modeling Approach for Mapping Light Under Sea Ice During the Ice-Growth Season
title_full A Multi-Sensor and Modeling Approach for Mapping Light Under Sea Ice During the Ice-Growth Season
title_fullStr A Multi-Sensor and Modeling Approach for Mapping Light Under Sea Ice During the Ice-Growth Season
title_full_unstemmed A Multi-Sensor and Modeling Approach for Mapping Light Under Sea Ice During the Ice-Growth Season
title_sort multi-sensor and modeling approach for mapping light under sea ice during the ice-growth season
publisher Frontiers Media SA
publishDate 2021
url http://dx.doi.org/10.3389/fmars.2020.592337
https://www.frontiersin.org/articles/10.3389/fmars.2020.592337/full
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
Sea ice
genre_facet Arctic
Arctic Ocean
Sea ice
op_source Frontiers in Marine Science
volume 7
ISSN 2296-7745
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3389/fmars.2020.592337
container_title Frontiers in Marine Science
container_volume 7
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