Impacts of snow data and processing methods on the interpretation of long-term changes in Baffin Bay early spring sea ice thickness

In the Arctic, multi-year sea ice is being rapidly replaced by seasonal sea ice. Baffin Bay, situated between Greenland and Canada, is part of the seasonal ice zone. In this study, we present a long-term multi-mission assessment (2003–2020) of spring sea ice thickness in Baffin Bay from satellite al...

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Published in:The Cryosphere
Main Authors: Glissenaar, Isolde, Landy, Jack Christopher, Petty, Alek, Kurtz, Nathan, Stroeve, Julienne C.
Format: Article in Journal/Newspaper
Language:English
Published: European Geosciences Union 2021
Subjects:
Online Access:https://hdl.handle.net/10037/22997
https://doi.org/10.5194/tc-15-4909-2021
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spelling ftunivtroemsoe:oai:munin.uit.no:10037/22997 2023-05-15T14:27:08+02:00 Impacts of snow data and processing methods on the interpretation of long-term changes in Baffin Bay early spring sea ice thickness Glissenaar, Isolde Landy, Jack Christopher Petty, Alek Kurtz, Nathan Stroeve, Julienne C. 2021-10-21 https://hdl.handle.net/10037/22997 https://doi.org/10.5194/tc-15-4909-2021 eng eng European Geosciences Union The Cryosphere info:eu-repo/grantAgreement/RCN/SFI/237906/Norway/Centre for Integrated Remote Sensing and Forecasting for Arctic Operations/CIRFA/ Glissenaar, Landy JC, Petty, Kurtz, Stroeve JC. Impacts of snow data and processing methods on the interpretation of long-term changes in Baffin Bay early spring sea ice thickness. The Cryosphere. 2021;15:4909-4927 FRIDAID 1948160 doi:10.5194/tc-15-4909-2021 1994-0416 1994-0424 https://hdl.handle.net/10037/22997 openAccess Copyright 2021 The Author(s) VDP::Mathematics and natural science: 400::Geosciences: 450 VDP::Matematikk og Naturvitenskap: 400::Geofag: 450 Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2021 ftunivtroemsoe https://doi.org/10.5194/tc-15-4909-2021 2021-11-17T23:54:38Z In the Arctic, multi-year sea ice is being rapidly replaced by seasonal sea ice. Baffin Bay, situated between Greenland and Canada, is part of the seasonal ice zone. In this study, we present a long-term multi-mission assessment (2003–2020) of spring sea ice thickness in Baffin Bay from satellite altimetry and sea ice charts. Sea ice thickness within Baffin Bay is calculated from Envisat, ICESat, CryoSat-2, and ICESat-2 freeboard estimates, alongside a proxy from the ice chart stage of development that closely matches the altimetry data. We study the sensitivity of sea ice thickness results estimated from an array of different snow depth and snow density products and methods for redistributing low- resolution snow data onto along-track altimetry freeboards. The snow depth products that are applied include a refer- ence estimated from the Warren climatology, a passive mi- crowave snow depth product, and the dynamic snow scheme SnowModel-LG. We find that applying snow depth redistri- bution to represent small-scale snow variability has a consid- erable impact on ice thickness calculations from laser free- boards but was unnecessary for radar freeboards. Decisions on which snow loading product to use and whether to ap- ply snow redistribution can lead to different conclusions on trends and physical mechanisms. For instance, we find an uncertainty envelope around the March mean sea ice thick- ness of 13 % for different snow depth/density products and redistribution methods. Consequently, trends in March sea ice thickness from 2003–2020 range from −23 to 17 cm per decade, depending on which snow depth/density product and redistribution method is applied. Over a longer timescale, since 1996, the proxy ice chart thickness product has demon- strated statistically significant thinning within Baffin Bay of 7 cm per decade. Our study provides further evidence for long-term asymmetrical trends in Baffin Bay sea ice thick- ness (with −17.6 cm per decade thinning in the west and 10.8 cm per decade thickening in the east of the bay) since 2003. This asymmetrical thinning is consistent for all com- binations of snow product and processing method, but it is unclear what may have driven these changes. Article in Journal/Newspaper Arctic Arctic Baffin Bay Baffin Bay Baffin Greenland Sea ice The Cryosphere University of Tromsø: Munin Open Research Archive Arctic Baffin Bay Canada Greenland The Cryosphere 15 10 4909 4927
institution Open Polar
collection University of Tromsø: Munin Open Research Archive
op_collection_id ftunivtroemsoe
language English
topic VDP::Mathematics and natural science: 400::Geosciences: 450
VDP::Matematikk og Naturvitenskap: 400::Geofag: 450
spellingShingle VDP::Mathematics and natural science: 400::Geosciences: 450
VDP::Matematikk og Naturvitenskap: 400::Geofag: 450
Glissenaar, Isolde
Landy, Jack Christopher
Petty, Alek
Kurtz, Nathan
Stroeve, Julienne C.
Impacts of snow data and processing methods on the interpretation of long-term changes in Baffin Bay early spring sea ice thickness
topic_facet VDP::Mathematics and natural science: 400::Geosciences: 450
VDP::Matematikk og Naturvitenskap: 400::Geofag: 450
description In the Arctic, multi-year sea ice is being rapidly replaced by seasonal sea ice. Baffin Bay, situated between Greenland and Canada, is part of the seasonal ice zone. In this study, we present a long-term multi-mission assessment (2003–2020) of spring sea ice thickness in Baffin Bay from satellite altimetry and sea ice charts. Sea ice thickness within Baffin Bay is calculated from Envisat, ICESat, CryoSat-2, and ICESat-2 freeboard estimates, alongside a proxy from the ice chart stage of development that closely matches the altimetry data. We study the sensitivity of sea ice thickness results estimated from an array of different snow depth and snow density products and methods for redistributing low- resolution snow data onto along-track altimetry freeboards. The snow depth products that are applied include a refer- ence estimated from the Warren climatology, a passive mi- crowave snow depth product, and the dynamic snow scheme SnowModel-LG. We find that applying snow depth redistri- bution to represent small-scale snow variability has a consid- erable impact on ice thickness calculations from laser free- boards but was unnecessary for radar freeboards. Decisions on which snow loading product to use and whether to ap- ply snow redistribution can lead to different conclusions on trends and physical mechanisms. For instance, we find an uncertainty envelope around the March mean sea ice thick- ness of 13 % for different snow depth/density products and redistribution methods. Consequently, trends in March sea ice thickness from 2003–2020 range from −23 to 17 cm per decade, depending on which snow depth/density product and redistribution method is applied. Over a longer timescale, since 1996, the proxy ice chart thickness product has demon- strated statistically significant thinning within Baffin Bay of 7 cm per decade. Our study provides further evidence for long-term asymmetrical trends in Baffin Bay sea ice thick- ness (with −17.6 cm per decade thinning in the west and 10.8 cm per decade thickening in the east of the bay) since 2003. This asymmetrical thinning is consistent for all com- binations of snow product and processing method, but it is unclear what may have driven these changes.
format Article in Journal/Newspaper
author Glissenaar, Isolde
Landy, Jack Christopher
Petty, Alek
Kurtz, Nathan
Stroeve, Julienne C.
author_facet Glissenaar, Isolde
Landy, Jack Christopher
Petty, Alek
Kurtz, Nathan
Stroeve, Julienne C.
author_sort Glissenaar, Isolde
title Impacts of snow data and processing methods on the interpretation of long-term changes in Baffin Bay early spring sea ice thickness
title_short Impacts of snow data and processing methods on the interpretation of long-term changes in Baffin Bay early spring sea ice thickness
title_full Impacts of snow data and processing methods on the interpretation of long-term changes in Baffin Bay early spring sea ice thickness
title_fullStr Impacts of snow data and processing methods on the interpretation of long-term changes in Baffin Bay early spring sea ice thickness
title_full_unstemmed Impacts of snow data and processing methods on the interpretation of long-term changes in Baffin Bay early spring sea ice thickness
title_sort impacts of snow data and processing methods on the interpretation of long-term changes in baffin bay early spring sea ice thickness
publisher European Geosciences Union
publishDate 2021
url https://hdl.handle.net/10037/22997
https://doi.org/10.5194/tc-15-4909-2021
geographic Arctic
Baffin Bay
Canada
Greenland
geographic_facet Arctic
Baffin Bay
Canada
Greenland
genre Arctic
Arctic
Baffin Bay
Baffin Bay
Baffin
Greenland
Sea ice
The Cryosphere
genre_facet Arctic
Arctic
Baffin Bay
Baffin Bay
Baffin
Greenland
Sea ice
The Cryosphere
op_relation The Cryosphere
info:eu-repo/grantAgreement/RCN/SFI/237906/Norway/Centre for Integrated Remote Sensing and Forecasting for Arctic Operations/CIRFA/
Glissenaar, Landy JC, Petty, Kurtz, Stroeve JC. Impacts of snow data and processing methods on the interpretation of long-term changes in Baffin Bay early spring sea ice thickness. The Cryosphere. 2021;15:4909-4927
FRIDAID 1948160
doi:10.5194/tc-15-4909-2021
1994-0416
1994-0424
https://hdl.handle.net/10037/22997
op_rights openAccess
Copyright 2021 The Author(s)
op_doi https://doi.org/10.5194/tc-15-4909-2021
container_title The Cryosphere
container_volume 15
container_issue 10
container_start_page 4909
op_container_end_page 4927
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