Investigating snow sinks on level sea ice in the Arctic

We examined snow sinks caused by snow and sea ice interactions (snow-ice formation and sub-parcel snow mass redistribution) on Arctic level ice. We coupled SnowModel-LG, a modeling system adapted for snow depth and density reconstruction over sea ice, with HIGHTSI, a 1-D thermodynamic sea ice model,...

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Main Authors: Merkouriadi, Ioanna, Jutila, Arttu, Liston, Glen, Preußer, Andreas
Format: Other/Unknown Material
Language:unknown
Published: Authorea, Inc. 2024
Subjects:
Arctic
Sea ice
Online Access:http://dx.doi.org/10.22541/essoar.171742651.11214271/v1
id crwinnower:10.22541/essoar.171742651.11214271/v1
record_format openpolar
spelling crwinnower:10.22541/essoar.171742651.11214271/v1 2024-09-09T19:19:42+00:00 Investigating snow sinks on level sea ice in the Arctic Merkouriadi, Ioanna Jutila, Arttu Liston, Glen Preußer, Andreas 2024 http://dx.doi.org/10.22541/essoar.171742651.11214271/v1 unknown Authorea, Inc. https://creativecommons.org/licenses/by/4.0/ posted-content 2024 crwinnower https://doi.org/10.22541/essoar.171742651.11214271/v1 2024-06-18T04:17:25Z We examined snow sinks caused by snow and sea ice interactions (snow-ice formation and sub-parcel snow mass redistribution) on Arctic level ice. We coupled SnowModel-LG, a modeling system adapted for snow depth and density reconstruction over sea ice, with HIGHTSI, a 1-D thermodynamic sea ice model, to create SMLG HS. Pan-Arctic model simulations spanned from 1 August 1980 through 31 July 2022. Evaluation of SMLG HS against snow depth, snow-ice, and sea ice thickness observations highlighted the importance of snow mass changes due to snow redistribution processes. The findings suggest that neglecting snow-ice formation and sub-parcel snow mass redistribution processes in models can lead to substantial overestimation of snow depth over level ice. Other/Unknown Material Arctic Sea ice The Winnower Arctic
institution Open Polar
collection The Winnower
op_collection_id crwinnower
language unknown
description We examined snow sinks caused by snow and sea ice interactions (snow-ice formation and sub-parcel snow mass redistribution) on Arctic level ice. We coupled SnowModel-LG, a modeling system adapted for snow depth and density reconstruction over sea ice, with HIGHTSI, a 1-D thermodynamic sea ice model, to create SMLG HS. Pan-Arctic model simulations spanned from 1 August 1980 through 31 July 2022. Evaluation of SMLG HS against snow depth, snow-ice, and sea ice thickness observations highlighted the importance of snow mass changes due to snow redistribution processes. The findings suggest that neglecting snow-ice formation and sub-parcel snow mass redistribution processes in models can lead to substantial overestimation of snow depth over level ice.
format Other/Unknown Material
author Merkouriadi, Ioanna
Jutila, Arttu
Liston, Glen
Preußer, Andreas
spellingShingle Merkouriadi, Ioanna
Jutila, Arttu
Liston, Glen
Preußer, Andreas
Investigating snow sinks on level sea ice in the Arctic
author_facet Merkouriadi, Ioanna
Jutila, Arttu
Liston, Glen
Preußer, Andreas
author_sort Merkouriadi, Ioanna
title Investigating snow sinks on level sea ice in the Arctic
title_short Investigating snow sinks on level sea ice in the Arctic
title_full Investigating snow sinks on level sea ice in the Arctic
title_fullStr Investigating snow sinks on level sea ice in the Arctic
title_full_unstemmed Investigating snow sinks on level sea ice in the Arctic
title_sort investigating snow sinks on level sea ice in the arctic
publisher Authorea, Inc.
publishDate 2024
url http://dx.doi.org/10.22541/essoar.171742651.11214271/v1
geographic Arctic
geographic_facet Arctic
genre Arctic
Sea ice
genre_facet Arctic
Sea ice
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.22541/essoar.171742651.11214271/v1
_version_ 1809759772927328256

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