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Brief communication: evaluation of multiple density-dependent empirical snow conductivity relationships in East Antarctica

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Ding, M, Zhang, T, Yang, D, Allison, I ORCID: 0000-0001-9599-0251, Dou, T and Xiao, C 2021 , 'Brief communication: evaluation of multiple density-dependent empirical snow conductivity relationships in East Antarctica' , Cryosphere, vol. 15 , pp. 4201-4206 , doi: 10.5194/tc-15-4201-2021.

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Abstract

Nine density-dependent empirical thermal conductivity relationships for firn were compared against data from three automatic weather stations at climatically different sites in East Antarctica (Dome A, Eagle, and LGB69). The empirical relationships were validated using a vertical, 1D thermal diffusion model and a phase-change-based firn diffusivity estimation method. The best relationships for the abovementioned sites were identified by comparing the modeled and observed firn temperature at a depth of 1 and 3 m, and from the mean heat conductivities over two depth intervals (1–3 and 3–10 m). Among the nine relationships, that proposed by Calonne et al. (2011) appeared to show the best performance. The density- and temperature-dependent relationship given in Calonne et al. (2019) does not show clear superiority over other density-dependent relationships. This study provides a useful reference for firn thermal conductivity parameterizations in land modeling or snow–air interaction studies on the Antarctica ice sheet.

Item Type: Article
Authors/Creators:Ding, M and Zhang, T and Yang, D and Allison, I and Dou, T and Xiao, C
Keywords: Antarctica, snow conductivity, automatic weather stations
Journal or Publication Title: Cryosphere
Publisher: Copernicus GmbH
ISSN: 1994-0416
DOI / ID Number: 10.5194/tc-15-4201-2021
Copyright Information:

Copyright 2021 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

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