The Cryosphere
The Cryosphere
TC
Articles | Volume 15, issue 9
Articles | Volume 15, issue 9
https://doi.org/10.5194/tc-15-4201-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-15-4201-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 9
Brief communication
 | 
02 Sep 2021
Brief communication |  | 02 Sep 2021

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

Minghu Ding, Tong Zhang, Diyi Yang, Ian Allison, Tingfeng Dou, and Cunde Xiao

Supplement

https://doi.org/10.5194/tc-15-4201-2021-supplement

Data sets

Automatic Weather Station Data obtained at Dome A (Argus), Antarctica, Ver. 1 P. Heil, G. Hyland, and I. Alison https://doi.org/10.26179/brjy-g225

Automatic Weather Station Data obtained at EAGLE, Antarctica M. Ding, T. Zhang, and I. Allison https://doi.org/10.11856/SNS.D.2021.006.v0

Automatic Weather Station Data obtained at LGB69, Antarctic a M. Ding, T. Zhang, and I. Allison https://doi.org/10.11856/SNS.D.2021.007.v0

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Short summary
Measurement of snow heat conductivity is essential to establish the energy balance between the atmosphere and firn, but it is still not clear in Antarctica. Here, we used data from three automatic weather stations located in different types of climate and evaluated nine schemes that were used to calculate the effective heat diffusivity of snow. The best solution was proposed. However, no conductivity–density relationship was optimal at all sites, and the performance of each varied with depth.
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