Abstract
Accurate description of snow and firn processes is necessary for estimating the fraction of glacier surface melt that contributes to runoff. Most processes in snow and firn are to a great extent controlled by the temperature therein and in the absence of liquid water, the temperature evolution is dominated by the conductive heat exchange. The latter is controlled by the effective thermal conductivity. Here we reconstruct the effective thermal conductivity of firn at Lomonosovfonna, Svalbard, using an optimization routine minimizing the misfit between simulated and measured subsurface temperatures and densities. The optimized values in the range from 0.2 to 1.6 W (m K)-1 increase downwards and over time. The results are supported by uncertainty quantification experiments, according to which is most sensitive to systematic errors in empirical temperature values and their estimated depths, particularly in the lower part of the vertical profile. Compared to commonly used density-based parameterizations, our values are consistently larger, suggesting a faster conductive heat exchange in firn.
Original language | English |
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Pages (from-to) | 1843-1859 |
Number of pages | 17 |
Journal | Cryosphere |
Volume | 13 |
Issue number | 7 |
DOIs | |
Publication status | Published - 9 Jul 2019 |
Funding
Acknowledgements. This publication is contribution 92 of the Nordic Centre of Excellence SVALI funded by the Nordic Top-level Research Initiative. Authors appreciate the constructive feedback provided by the editor and two reviewers (Henning Löwe and Edwin Waddington), their efforts helped to significantly improve the paper. Authors also acknowledge additional funding from the Ymer-80 foundation, Swedish Polar Research Secretariat, Polar Program of the Netherlands Organization for Scientific Research (NWO), Arctic Field Grant of the Research Council of Norway and the Margit Althins stipend of the Royal Swedish Academy of Sciences. Logistical support during field campaigns was provided by the Norwegian Polar Institute and the University Centre in Svalbard (UNIS).