Articles | Volume 14, issue 2
https://doi.org/10.5194/essd-14-619-2022
https://doi.org/10.5194/essd-14-619-2022
Data description paper
 | 
09 Feb 2022
Data description paper |  | 09 Feb 2022

Snow depth product over Antarctic sea ice from 2002 to 2020 using multisource passive microwave radiometers

Xiaoyi Shen, Chang-Qing Ke, and Haili Li

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Cited articles

Antarctic Sea Ice Processes and Climate program: The ship-based sea ice and snow thickness data, Scientific Commission on Antarctic Research Antarctic Sea Ice Processes and Climate program [data set], http://aspect.antarctica.gov.au/data, last access: 7 February 2022. 
Australian Antarctic Data Centre: Extract of data from the sea ice measurements database – 1985–2007, Version 1, Australian Antarctic Data Centre [data set], https://doi.org/10.26179/5cecce40a20b0, 2019. 
Braakmann-Folgmann, A. and Donlon, C.: Estimating snow depth on Arctic sea ice using satellite microwave radiometry and a neural network, The Cryosphere, 13, 2421–2438, https://doi.org/10.5194/tc-13-2421-2019, 2019. 
Cavalieri, D. J., Markus, T., and Comiso, J. C.: AMSR-E/Aqua Daily L3 25 km Brightness Temperature & Sea Ice Concentration Polar Grids, Version 3, National Snow and Ice Data Center [data set], https://doi.org/10.5067/AMSR-E/AE_SI25.003, 2014. 
Comiso, J. C., Cavalieri, D. J., and Markus, T.: Sea ice concentration, ice temperature, and snow depth using AMSR-E data, IEEE T. Geosci. Remote, 41, 243–252, https://doi.org/10.1109/TGRS.2002.808317, 2003. 
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Short summary
Snow over Antarctic sea ice controls energy budgets and thus has essential effects on the climate. Here, we estimated snow depth using microwave radiometers and a newly constructed, robust method by incorporating lower frequencies, which have been available from AMSR-E and AMSR-2. Comparing the new retrieval with in situ and shipborne snow depth measurements showed that this method outperformed the previously available method.
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