Articles | Volume 13, issue 9
The Cryosphere, 13, 2421–2438, 2019
https://doi.org/10.5194/tc-13-2421-2019
The Cryosphere, 13, 2421–2438, 2019
https://doi.org/10.5194/tc-13-2421-2019
Research article
17 Sep 2019
Research article | 17 Sep 2019

Estimating snow depth on Arctic sea ice using satellite microwave radiometry and a neural network

Anne Braakmann-Folgmann and Craig Donlon

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Cited articles

Aaboe, S., Breivik, L.-A., Soerensen, A., Eastwood S., and Lavergne, T.: Global sea ice edge and type user's manual-v13. Technical report/SAFOSI/CDOP2/MET-Norway/TEC/MA/205, EUMETSAT OSI SAF-Ocean and Sea Ice Satellite Application Facility, 2016. a, b
Al Bitar, A., Mialon, A., Kerr, Y. H., Cabot, F., Richaume, P., Jacquette, E., Quesney, A., Mahmoodi, A., Tarot, S., Parrens, M., Al-Yaari, A., Pellarin, T., Rodriguez-Fernandez, N., and Wigneron, J.-P.: The global SMOS Level 3 daily soil moisture and brightness temperature maps, Earth Syst. Sci. Data, 9, 293–315, https://doi.org/10.5194/essd-9-293-2017, 2017. a
Alexandrov, V., Sandven, S., Wahlin, J., and Johannessen, O. M.: The relation between sea ice thickness and freeboard in the Arctic, The Cryosphere, 4, 373–380, https://doi.org/10.5194/tc-4-373-2010, 2010. a, b, c
Blanchard-Wrigglesworth, E., Webster, M. A., Farrell, S. L., and Bitz, C. M.: Reconstruction of Snow on Arctic Sea Ice, J. Geophys. Res.-Oceans, 123, 3588–3602, https://doi.org/10.1002/2017JC013364, 2018. a
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Snow on sea ice is a fundamental climate variable. We propose a novel approach to estimate snow depth on sea ice from satellite microwave radiometer measurements at several frequencies using neural networks (NNs). We evaluate our results with airborne snow depth measurements and compare them to three other established snow depth algorithms. We show that our NN results agree better with the airborne data than the other algorithms. This is also advantageous for sea ice thickness calculation.