edu.ucar.opensky::articles:27163 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T18:50:31.718287 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7sx6jdv https://doi.org/10.1594/PANGAEA.937781 https Related Dataset #1 Magnaprobe snow and melt pond depth measurements from the 2019-2020 MOSAiC expedition https://doi.org/10.1594/PANGAEA.941017 https Related Dataset #2 Helicopter-borne thermal infrared sea ice surface temperatures during the MOSAiC expedition, version 2 https://doi.org/10.1594/PANGAEA.943666 https Related Dataset #3 GEM-2 quicklook total thickness measurements from the 2019-2020 MOSAiC expedition https://doi.org/10.1594/PANGAEA.950896 https Related Dataset #4 Merged grids of sea-ice or snow freeboard from helicopter-borne laser scanner during the MOSAiC expedition, version 1 https://doi.org/10.18739/A2TM7227K https 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. https://doi.org/10.5281/ZENODO.7419438 https Related Software #1 CICE-Consortium/Icepack: Icepack 1.3.3 https://doi.org/10.5281/ZENODO.7419531 https Related Software #2 CICE-Consortium/CICE: CICE Version 6.4.1 https://doi.org/10.5281/zenodo.8414652 https Related Software #3 lzampier/zampieri_2023_paper: Postprocessing for "Modelling the winter heat conduction through the sea ice system during MOSAiC" Modeling the winter heat conduction through the sea ice system during MOSAiC 2024-04-28T00:00:00Z publication https://n2t.org/ark:/85065/d7sx6jdv https://doi.org/10.1029/2023GL106760 Zampieri, L. author Clemens-Sewall, David author Sledd, A. author Hutter, N. author Holland, Marika M. author UCAR/NCAR - Library publisher 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. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. None eng geoscientificInformation