Articles | Volume 15, issue 1
Research article
27 Jan 2021
Research article |  | 27 Jan 2021

Inter-comparison of snow depth over Arctic sea ice from reanalysis reconstructions and satellite retrieval

Lu Zhou, Julienne Stroeve, Shiming Xu, Alek Petty, Rachel Tilling, Mai Winstrup, Philip Rostosky, Isobel R. Lawrence, Glen E. Liston, Andy Ridout, Michel Tsamados, and Vishnu Nandan

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Cited articles

Barrett, A. P., Stroeve, J., and Serreze, M. C.: Arctic Ocean Precipitation from Atmospheric Reanalyses and Comparisons with North Pole Drifting Station Records, J. Geophys. Res.-Ocean, 125, e2019JC015415,, 2020. a
Bintanja, R. and Selten, F.: Future increases in Arctic precipitation linked to local evaporation and sea-ice retreat, Nature, 509, 479–482, 2014. a
Blanchard-Wrigglesworth, E., Webster, M., Farrell, S. L., and Bitz, C. M.: Reconstruction of snow on Arctic sea ice, J. Geophys. Res.-Ocean, 123, 3588–3602,, 2018 (UW data are available at:, last access: 13 January 2021). a, b, c, d, e
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,, 2019. a
Brodzik, M. J., Billingsley, B., Haran, T., Raup, B., and Savoie, M. H.: EASE-Grid 2.0: Incremental but significant improvements for Earth-gridded data sets, ISPRS Int. J. Geo-Inf., 1, 32–45, 2012. a
Short summary
Snow on sea ice plays an important role in the Arctic climate system. Large spatial and temporal discrepancies among the eight snow depth products are analyzed together with their seasonal variability and long-term trends. These snow products are further compared against various ground-truth observations. More analyses on representation error of sea ice parameters are needed for systematic comparison and fusion of airborne, in situ and remote sensing observations.