Modeling the Winter Heat Conduction Through the Sea Ice System During MOSAiC

Lorenzo Zampieri, David Clemens-Sewall, Anne Sledd, Nils Hutter, Marika Holland

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

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 ∼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.

Original languageEnglish
Article numbere2023GL106760
JournalGeophysical Research Letters
Volume51
Issue number8
DOIs
StatePublished - Apr 28 2024

Keywords

  • Arctic
  • MOSAiC
  • sea ice
  • snow on sea ice
  • thermodynamics
  • winter processes

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