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, J., Liston, Glen E., Wilkinson, Jeremy
Format: Article in Journal/Newspaper
Language:unknown
Published: Frontiers 2021
Subjects:
Online Access:https://epic.awi.de/id/eprint/50702/
https://hdl.handle.net/10013/epic.75dc2e40-2dc2-4188-973f-001dc46f6502
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spelling ftawi:oai:epic.awi.de:50702 2024-09-15T17:54:09+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, J. Liston, Glen E. Wilkinson, Jeremy 2021 https://epic.awi.de/id/eprint/50702/ https://hdl.handle.net/10013/epic.75dc2e40-2dc2-4188-973f-001dc46f6502 unknown Frontiers Stroeve, J. , Vancoppenolle, M. , Veyssiere, G. , Lebrun, M. , Castellani, G. orcid:0000-0001-6151-015X , Babin, M. , Karcher, M. orcid:0000-0002-9587-811X , Landy, J. , Liston, G. E. and Wilkinson, J. (2021) A Multi-Sensor and Modeling Approach for Mapping Light Under Sea Ice During the Ice-Growth Season , Frontiers in Marine Science, 7 , p. 1253 . doi:10.3389/fmars.2020.592337 <https://doi.org/10.3389/fmars.2020.592337> , hdl:10013/epic.75dc2e40-2dc2-4188-973f-001dc46f6502 EPIC3Frontiers in Marine Science, Frontiers, 7, pp. 1253, ISSN: 2296-7745 Article isiRev 2021 ftawi https://doi.org/10.3389/fmars.2020.592337 2024-06-24T04:23:24Z 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 Ocean Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Frontiers in Marine Science 7
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
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.
format Article in Journal/Newspaper
author Stroeve, Julienne
Vancoppenolle, Martin
Veyssiere, Gaelle
Lebrun, Marion
Castellani, Giulia
Babin, Marcel
Karcher, Michael
Landy, J.
Liston, Glen E.
Wilkinson, Jeremy
spellingShingle Stroeve, Julienne
Vancoppenolle, Martin
Veyssiere, Gaelle
Lebrun, Marion
Castellani, Giulia
Babin, Marcel
Karcher, Michael
Landy, J.
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, J.
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
publishDate 2021
url https://epic.awi.de/id/eprint/50702/
https://hdl.handle.net/10013/epic.75dc2e40-2dc2-4188-973f-001dc46f6502
genre Arctic Ocean
Sea ice
genre_facet Arctic Ocean
Sea ice
op_source EPIC3Frontiers in Marine Science, Frontiers, 7, pp. 1253, ISSN: 2296-7745
op_relation Stroeve, J. , Vancoppenolle, M. , Veyssiere, G. , Lebrun, M. , Castellani, G. orcid:0000-0001-6151-015X , Babin, M. , Karcher, M. orcid:0000-0002-9587-811X , Landy, J. , Liston, G. E. and Wilkinson, J. (2021) A Multi-Sensor and Modeling Approach for Mapping Light Under Sea Ice During the Ice-Growth Season , Frontiers in Marine Science, 7 , p. 1253 . doi:10.3389/fmars.2020.592337 <https://doi.org/10.3389/fmars.2020.592337> , hdl:10013/epic.75dc2e40-2dc2-4188-973f-001dc46f6502
op_doi https://doi.org/10.3389/fmars.2020.592337
container_title Frontiers in Marine Science
container_volume 7
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