Modeling the winter heat conduction through the sea ice system during MOSAiC

Models struggle to accurately simulate observed sea ice thickness changes, which could be partially due to inadequate representation of thermodynamic processes. We analyzed co-located winter observations of the Arctic sea ice from the Multidisciplinary Drifting Observatory for the Study of the Arctic Climate for evaluating and improving thermodynamic processes in sea ice models, aiming to enable more accurate predictions of the warming climate system. We model the sea ice and snow heat conduction for observed transects forced by realistic boundary conditions to understand the impact of the non-resolved meter-scale snow and sea ice thickness heterogeneity on horizontal heat conduction. Neglecting horizontal processes causes underestimating the conductive heat flux of 10% or more. Furthermore, comparing model results to independent temperature observations reveals a similar to 5 K surface temperature overestimation over ice thinner than 1 m, attributed to shortcomings in parameterizing surface turbulent and radiative fluxes rather than the conduction. Assessing the model deficiencies and parameterizing these unresolved processes is required for improved sea ice representation.

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Related Links

Related Dataset #1 : Magnaprobe snow and melt pond depth measurements from the 2019-2020 MOSAiC expedition

Related Dataset #2 : Helicopter-borne thermal infrared sea ice surface temperatures during the MOSAiC expedition, version 2

Related Dataset #3 : GEM-2 quicklook total thickness measurements from the 2019-2020 MOSAiC expedition

Related Dataset #4 : Merged grids of sea-ice or snow freeboard from helicopter-borne laser scanner during the MOSAiC expedition, version 1

Related Dataset #5 : Met City meteorological and surface flux measurements (Level 2 Processed), Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC), central Arctic, October 2019 - September 2020.

Related Software #1 : CICE-Consortium/Icepack: Icepack 1.3.3

Related Software #2 : CICE-Consortium/CICE: CICE Version 6.4.1

Related Software #3 : lzampier/zampieri_2023_paper: Postprocessing for "Modelling the winter heat conduction through the sea ice system during MOSAiC"

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Author Zampieri, L.
Clemens-Sewall, D.
Sledd, A.
Hutter, N.
Holland, Marika M.
Publisher UCAR/NCAR - Library
Publication Date 2024-04-28T00:00:00
Digital Object Identifier (DOI) Not Assigned
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Topic Category geoscientificInformation
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Metadata Date 2025-07-10T20:02:38.414386
Metadata Record Identifier edu.ucar.opensky::articles:27163
Metadata Language eng; USA
Suggested Citation Zampieri, L., Clemens-Sewall, D., Sledd, A., Hutter, N., Holland, Marika M.. (2024). Modeling the winter heat conduction through the sea ice system during MOSAiC. UCAR/NCAR - Library. https://n2t.org/ark:/85065/d7sx6jdv. Accessed 11 August 2025.

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