Brief communication: Evaluation of multiple density-dependent empirical snow conductivity relationships in East Antarctica
-
Published:2021-09-02
Issue:9
Volume:15
Page:4201-4206
-
ISSN:1994-0424
-
Container-title:The Cryosphere
-
language:en
-
Short-container-title:The Cryosphere
Author:
Ding MinghuORCID, Zhang Tong, Yang DiyiORCID, Allison IanORCID, Dou TingfengORCID, Xiao Cunde
Abstract
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.
Funder
National Natural Science Foundation of China National Key Research and Development Program of China Chinese Academy of Meteorological Sciences
Publisher
Copernicus GmbH
Subject
Earth-Surface Processes,Water Science and Technology
Reference28 articles.
1. Anderson, E. A.: A Point Energy and Mass Balance Model of a Snow Cover, Technical Report, National Weather Service, United States, 1976. 2. Calonne, N., Flin, F., Morin, S., Lesaffre, B., Rolland du Roscoat, S., and
Geindreau, C.: Numerical and experimental investigations of the effective
thermal conductivity of snow, Geophys. Res. Lett., 38, 537–545,
https://doi.org/10.1029/2011GL049234, 2011. 3. Calonne, N., Milliancourt, L., Burr, A., Philip, A., Martin, C. L., Flin,
F., and Geindreau, C.: Thermal conductivity of snow, firn, and porous ice
from 3-D image-based computations, Geophys. Res. Lett., 46,
13079–13089, https://doi.org/10.1029/2019GL085228, 2019. 4. Charalampidis, C., Van As, D., Colgan, W. T., Fausto, R. S., Macferrin, M.,
and Machguth, H.: Thermal tracing of retained meltwater in the lower
accumulation area of the Southwestern Greenland ice sheet, Ann.
Glaciol., 57, 1–10, https://doi.org/10.1017/aog.2016.2, 2016. 5. Cuffey, K. M. and Paterson, W. S. B.: The physics of glaciers, 4th edn.,
Butterworth-Heinemann, Oxford, 2010.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|