Articles | Volume 14, issue 2
The Cryosphere, 14, 751–767, 2020
The Cryosphere, 14, 751–767, 2020

Research article 02 Mar 2020

Research article | 02 Mar 2020

Variability scaling and consistency in airborne and satellite altimetry measurements of Arctic sea ice

Shiming Xu et al.

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Cited articles

Abraham, C., Steiner, N., Monahan, A., and Michel, C.: Effects of subgrid-scale snow thickness variability on radiative transfer in sea ice, J. Geophys. Res.-Oceans, 120, 5597–5614,, 2015. a
Alfred-Wegener-Institut: MOSAiC Expedition, available at:, last access: 6 February 2019. a
Armitage, T. W. K. and Ridout, A. L.: Arctic sea ice freeboard from AltiKa and comparison with CryoSat-2 and Operation IceBridge, Geophys. Res. Lett., 42, 6724–6731,, 2015. a
Blockley, E. W. and Peterson, K. A.: Improving Met Office seasonal predictions of Arctic sea ice using assimilation of CryoSat-2 thickness, The Cryosphere, 12, 3419–3438,, 2018. a, b
Boisvert, L. N., Webster, M. A., Petty, A. A., Markus, T., Bromwich, D. H., and Cullather, R. I.: Intercomparison of Precipitation Estimates over the Arctic Ocean and Its Peripheral Seas from Reanalyses, J. Climate, 31, 8441–8462,, 2018. a
Short summary
Sea ice thickness parameters are key to polar climate change studies and forecasts. Airborne and satellite measurements provide complementary observational capabilities. The study analyzes the variability in freeboard and snow depth measurements and its changes with scale in Operation IceBridge, CryoVEx, CryoSat-2 and ICESat. Consistency between airborne and satellite data is checked. Analysis calls for process-oriented attribution of variability and covariability features of these parameters.