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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Main Authors: Julienne Stroeve, Martin Vancoppenolle, Gaelle Veyssiere, Marion Lebrun, Giulia Castellani, Marcel Babin, Michael Karcher, Jack Landy, Glen E. Liston, Jeremy Wilkinson
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Marine Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2020.592337/full
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spelling doaj-f3bef411a5184584b4029967e1a5e81d2021-02-03T15:55:03ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452021-02-01710.3389/fmars.2020.592337592337A Multi-Sensor and Modeling Approach for Mapping Light Under Sea Ice During the Ice-Growth SeasonJulienne Stroeve0Julienne Stroeve1Julienne Stroeve2Martin Vancoppenolle3Gaelle Veyssiere4Gaelle Veyssiere5Marion Lebrun6Giulia Castellani7Marcel Babin8Michael Karcher9Michael Karcher10Jack Landy11Glen E. Liston12Jeremy Wilkinson13Centre for Earth Observation Science, University of Manitoba, Winnipeg, MB, CanadaDepartment of Earth Science, University College London, London, United KingdomNational Snow and Ice Data Center, University of Colorado Boulder, Boulder, CO, United StatesLaboratoire d’Océanographie et du Climat, Institut Pierre-Simon Laplace, CNRS/IRD/MNHN, Sorbonne Université, Paris, FranceDepartment of Earth Science, University College London, London, United KingdomBritish Antarctic Survey, Cambridge, United KingdomLaboratoire d’Océanographie et du Climat, Institut Pierre-Simon Laplace, CNRS/IRD/MNHN, Sorbonne Université, Paris, FranceAlfred Wegener Institute, Bremerhaven, GermanyDépartement de Biologie, Université Laval, Québec, QC, CanadaAlfred Wegener Institute, Bremerhaven, GermanyO.A.Sys-Ocean Atmosphere Systems GmbH, Hamburg, GermanySchool of Geographical Sciences, University of Bristol, Bristol, United Kingdom0Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, United StatesBritish Antarctic Survey, Cambridge, United KingdomArctic 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.https://www.frontiersin.org/articles/10.3389/fmars.2020.592337/fullsea iceunder-ice lightocean primary productivityArcticmarine ecosystems
collection DOAJ
language English
format Article
sources DOAJ
author Julienne Stroeve
Julienne Stroeve
Julienne Stroeve
Martin Vancoppenolle
Gaelle Veyssiere
Gaelle Veyssiere
Marion Lebrun
Giulia Castellani
Marcel Babin
Michael Karcher
Michael Karcher
Jack Landy
Glen E. Liston
Jeremy Wilkinson
spellingShingle Julienne Stroeve
Julienne Stroeve
Julienne Stroeve
Martin Vancoppenolle
Gaelle Veyssiere
Gaelle Veyssiere
Marion Lebrun
Giulia Castellani
Marcel Babin
Michael Karcher
Michael Karcher
Jack Landy
Glen E. Liston
Jeremy Wilkinson
A Multi-Sensor and Modeling Approach for Mapping Light Under Sea Ice During the Ice-Growth Season
Frontiers in Marine Science
sea ice
under-ice light
ocean primary productivity
Arctic
marine ecosystems
author_facet Julienne Stroeve
Julienne Stroeve
Julienne Stroeve
Martin Vancoppenolle
Gaelle Veyssiere
Gaelle Veyssiere
Marion Lebrun
Giulia Castellani
Marcel Babin
Michael Karcher
Michael Karcher
Jack Landy
Glen E. Liston
Jeremy Wilkinson
author_sort Julienne Stroeve
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 S.A.
series Frontiers in Marine Science
issn 2296-7745
publishDate 2021-02-01
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.
topic sea ice
under-ice light
ocean primary productivity
Arctic
marine ecosystems
url https://www.frontiersin.org/articles/10.3389/fmars.2020.592337/full
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