Preconditioning of Summer Melt Ponds From Winter Sea Ice Surface Temperature
Abstract Comparing helicopter‐borne surface temperature maps in winter and optical orthomosaics in summer from the year‐long Multidisciplinary drifting Observatory for the Study of Arctic Climate expedition, we find a strong geometric correlation between warm anomalies in winter and melt pond locati...
Published in: | Geophysical Research Letters |
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Online Access: | https://doi.org/10.1029/2022GL101493 https://doaj.org/article/1fcc157130ad4e3d981a470a9c5bba2f |
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ftdoajarticles:oai:doaj.org/article:1fcc157130ad4e3d981a470a9c5bba2f 2024-09-15T18:34:43+00:00 Preconditioning of Summer Melt Ponds From Winter Sea Ice Surface Temperature Linda Thielke Niels Fuchs Gunnar Spreen Bruno Tremblay Gerit Birnbaum Marcus Huntemann Nils Hutter Polona Itkin Arttu Jutila Melinda A. Webster 2023-02-01T00:00:00Z https://doi.org/10.1029/2022GL101493 https://doaj.org/article/1fcc157130ad4e3d981a470a9c5bba2f EN eng Wiley https://doi.org/10.1029/2022GL101493 https://doaj.org/toc/0094-8276 https://doaj.org/toc/1944-8007 1944-8007 0094-8276 doi:10.1029/2022GL101493 https://doaj.org/article/1fcc157130ad4e3d981a470a9c5bba2f Geophysical Research Letters, Vol 50, Iss 4, Pp n/a-n/a (2023) Arctic sea ice melt pond surface temperature airborne Geophysics. Cosmic physics QC801-809 article 2023 ftdoajarticles https://doi.org/10.1029/2022GL101493 2024-08-05T17:49:23Z Abstract Comparing helicopter‐borne surface temperature maps in winter and optical orthomosaics in summer from the year‐long Multidisciplinary drifting Observatory for the Study of Arctic Climate expedition, we find a strong geometric correlation between warm anomalies in winter and melt pond location the following summer. Warm anomalies are associated with thinner snow and ice, that is, surface depression and refrozen leads, that allow for water accumulation during melt. Warm surface temperature anomalies in January were 0.3–2.5 K warmer on sea ice that later formed melt ponds. A one‐dimensional steady‐state thermodynamic model shows that the observed surface temperature differences are in line with the observed ice thickness and snow depth. We demonstrate the potential of seasonal prediction of summer melt pond location and coverage from winter surface temperature observations. A threshold‐based classification achieves a correct classification for 41% of the melt ponds. Article in Journal/Newspaper Sea ice Directory of Open Access Journals: DOAJ Articles Geophysical Research Letters 50 4 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Arctic sea ice melt pond surface temperature airborne Geophysics. Cosmic physics QC801-809 |
spellingShingle |
Arctic sea ice melt pond surface temperature airborne Geophysics. Cosmic physics QC801-809 Linda Thielke Niels Fuchs Gunnar Spreen Bruno Tremblay Gerit Birnbaum Marcus Huntemann Nils Hutter Polona Itkin Arttu Jutila Melinda A. Webster Preconditioning of Summer Melt Ponds From Winter Sea Ice Surface Temperature |
topic_facet |
Arctic sea ice melt pond surface temperature airborne Geophysics. Cosmic physics QC801-809 |
description |
Abstract Comparing helicopter‐borne surface temperature maps in winter and optical orthomosaics in summer from the year‐long Multidisciplinary drifting Observatory for the Study of Arctic Climate expedition, we find a strong geometric correlation between warm anomalies in winter and melt pond location the following summer. Warm anomalies are associated with thinner snow and ice, that is, surface depression and refrozen leads, that allow for water accumulation during melt. Warm surface temperature anomalies in January were 0.3–2.5 K warmer on sea ice that later formed melt ponds. A one‐dimensional steady‐state thermodynamic model shows that the observed surface temperature differences are in line with the observed ice thickness and snow depth. We demonstrate the potential of seasonal prediction of summer melt pond location and coverage from winter surface temperature observations. A threshold‐based classification achieves a correct classification for 41% of the melt ponds. |
format |
Article in Journal/Newspaper |
author |
Linda Thielke Niels Fuchs Gunnar Spreen Bruno Tremblay Gerit Birnbaum Marcus Huntemann Nils Hutter Polona Itkin Arttu Jutila Melinda A. Webster |
author_facet |
Linda Thielke Niels Fuchs Gunnar Spreen Bruno Tremblay Gerit Birnbaum Marcus Huntemann Nils Hutter Polona Itkin Arttu Jutila Melinda A. Webster |
author_sort |
Linda Thielke |
title |
Preconditioning of Summer Melt Ponds From Winter Sea Ice Surface Temperature |
title_short |
Preconditioning of Summer Melt Ponds From Winter Sea Ice Surface Temperature |
title_full |
Preconditioning of Summer Melt Ponds From Winter Sea Ice Surface Temperature |
title_fullStr |
Preconditioning of Summer Melt Ponds From Winter Sea Ice Surface Temperature |
title_full_unstemmed |
Preconditioning of Summer Melt Ponds From Winter Sea Ice Surface Temperature |
title_sort |
preconditioning of summer melt ponds from winter sea ice surface temperature |
publisher |
Wiley |
publishDate |
2023 |
url |
https://doi.org/10.1029/2022GL101493 https://doaj.org/article/1fcc157130ad4e3d981a470a9c5bba2f |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Geophysical Research Letters, Vol 50, Iss 4, Pp n/a-n/a (2023) |
op_relation |
https://doi.org/10.1029/2022GL101493 https://doaj.org/toc/0094-8276 https://doaj.org/toc/1944-8007 1944-8007 0094-8276 doi:10.1029/2022GL101493 https://doaj.org/article/1fcc157130ad4e3d981a470a9c5bba2f |
op_doi |
https://doi.org/10.1029/2022GL101493 |
container_title |
Geophysical Research Letters |
container_volume |
50 |
container_issue |
4 |
_version_ |
1810476659115032576 |